| NASA International Internship Project List 2024-2025 | |||||
| Project # | NASA Center | Project Title | Mentor | Project Description | Requirements |
| 1 | Ames Research Center Moffett Field, California |
Shockwave Radiation Testing | Brett Cruden | The Electric Arc Shock Tube (EAST) Facility is NASA's only remaining shock tube capable of obtaining hyperorbital velocities (Mach 10-50, velocities up to ~15 km/s). The EAST data is the primary source of data for informing NASA's radiation modeling practices and associated uncertainties. The intern will participate in planning and conducting tests in the EAST facility, operating the diagnostics, performing calibrations, and analyzing data. The exact tests being performed in EAST will depend on the term of the intern's residency. Current plans for 2018 are to study radiation from expanding flows in the newly refurbished 20º expansion nozzle. | Experience with spectroscopic techniques and/or hypersonic testing facility, esp. shock tubes/tunnels desired. Graduate level (MS or PhD) strongly preferred. |
| 2 | Ames Research Center Moffett Field, California |
Robotic Sample Transfer Automation | Dr. Brian Glass | The Atacama Rover Astrobiology Drilling Studies (ARADS) project is a Science Mission Directorate-sponsored project led at NASA-Ames. ARADS proposes a Mars rover analog mission as a field test of an integrated rover-drill system with prototype life-detection instruments that are flight mission candidates. The essential elements to ARADS are: 1) use of integrated drill and rover at sites in the Atacama Desert in Chile in unprepared "regolith"; 2) field use of instruments with the rover/drill that are flight prototypes comparable to those planned for ExoMars and Icebreaker; 3) acquire drilled cuttings and transfer to instruments onboard the rover; 4) on-board autonomy and monitoring to support drilling; mission and demonstrate science support (operations and control) for the rover/drill/instrument operations. This intern project will address the third element above: automated sample transfer between a drill (on one side of the KREX2 rover) and instrument intakes (on the other side of the rover). The ARADS sample transfer arm is mounted on a KREX2 rocker, which rotates relative to the central platform on which both the drill and instruments are mounted. Hence, as the rover moves, the trajectory between the drill and instruments will rotate relative to the sample arm’s origin point. The arm is powered by servo motors which respond to pulse width modulation signals from the arm interface – two extra servo control channels support the testing of end effectors with up to two actuators. The intern will assist an existing ARADS staff member in developing a dynamic transformation for arm trajectories that will automatically compensate for rocker rotation and for vertical drill movements. This will be coded and tested with the actual arm, drill and rover mechanisms. |
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| 3 | Ames Research Center Moffett Field, California |
Rover-Instrument Automation and Data Integration | Dr. Brian Glass | The Atacama Rover Astrobiology Drilling Studies (ARADS) project is a Science Mission Directorate-sponsored project led at NASA-Ames. ARADS proposes a Mars rover analog mission as a field test of an integrated rover-drill system with prototype life-detection instruments that are flight mission candidates. The essential elements to ARADS are: 1) use of integrated drill and rover at sites in the Atacama Desert in Chile in unprepared "regolith"; 2) field use of instruments with the rover/drill that are flight prototypes comparable to those planned for ExoMars and Icebreaker; 3) acquire drilled cuttings and transfer to instruments onboard the rover; 4) on-board autonomy and monitoring to support drilling; mission and demonstrate science support (operations and control) for the rover/drill/instrument operations. This student project will address the fourth element above: integrated remote rover and instrument control in science operations. The current ARADS rover (KREX-2) hosts three instruments, plus a drill and robot arm. The drill and arm are already partially integrated and hosted on the rover CPU. The instruments are controlled and return their data to two auxiliary laptops strapped to the rover. These communicate by wifi and trunk network connections with instrument team members. Intern will assist ARADS developers in developing system operating procedures, drill and arm control software, drilling system diagnosis and executive controls. The student with work with both the KREX2 rover team and the instrument leads and existing ARADS team members (Thomas Stucky, Antoine Tardy) to define the internal interfaces for commands and data to be relayed from the rover. A “data suitcase” of instrument results and images will be defined and a mechanism developed with the rover team to capture the “suitcase” and then forward it intact to a remote science server for offline parallel analysis by the science team. Likewise, a command dictionary to each instrument will be defined. |
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| 4 | Ames Research Center Moffett Field, California |
Synthetic Biomaterials: A Multi-Scale Approach | Dr. Diana Gentry | A small group of interns with backgrounds in bioscience, materials chemistry and science, and bioengineering will, with the guidance of senior researchers, design and fabricate a proof-of-concept hybrid biomaterial using the interactions between living and non-living components to control the material structure. The material proof-of-concept will use existing genetic parts, such as binding domains, and established synthetic biology techniques, such as fusion protein design. The fabrication will be done using current techniques such as 3D CAD modeling, microscale gel deposition, and stereolithography. The exact implementation will be chosen jointly by the interns and mentors after a literature survey. The interns will learn about the history and current state of biomaterials, materials science, and synthetic biology, how to perform basic bioengineering techniques, and how to perform basic biomaterials analyses. They will gain real-world experience with literature searches, proposing and defending research implementations, hands-on bioengineering lab work (including synthetic biology, rapid prototyping, and fluidics), preparing documentation of research work, and statistics and data analysis. Interns will have a chance to present their research at a poster symposium and/or workshop. Depending on the breadth of work covered by the interns, participation in writing a published research paper is a possibility. |
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| 5 | Ames Research Center Moffett Field, California |
Genomics of Single Cell Mechanostransduction in Mouse Embryonic Stem Cells | Dr. Eduardo Almeida, Cassandra Juran | Forces generated by gravity have a profound impact on the behavior of cells in tissues and can affect the course of the cell cycle and differentiation fate of progenitors in mammalian tissues, potentially impacting the course of normal tissue regenerative health and disease. In this context, to enable Human space exploration, it is increasingly important to understand the gene expression patterns associated with regenerative health and disease as they relate to space travel in microgravity. Until recently changes in gene expression of stem cell progenitors exposed to spaceflight factors have been difficult to interpret, primarily because cellular responses are often not homogeneous in tissue populations, and may occur only in a subset of those cells. In stem cells in particular, “cell decisions” made in response to stimulation may include proliferative self-renewal, progression to differentiation, or entry into a state of replicative quiescence, however the gene expression programs associated with each are not readily knowable in a mixed cell population. Recent developments however now allow us to isolate and separately barcode mRNAs from thousands of single cells and to sequence their expressomes, opening a new field of “quantum genomics” in which regulatory gene networks and stimulus responses are studied and understood with greater clarity at the single cell level. In this project the fellow will specifically culture mouse embryonic stem cells and model gravity by either mechanostimulating them with axial stretch and compression, or not, as they initiate development in vitro, then conduct single cell isolation and barcoding of mRNAs using the 10XGenomics Chromium Controller, followed by reverse transcription into cDNAs and preparation of sequencing libraries for Illumina NGS or Oxford Nanopore long read sequencing. The fellow will also utilize bioinformatic tools including Cell Ranger, Loupe, and GeneSpring to analyze results and attempt to identify common patterns of gravity mechanoresponses in stem cells. If conducted successfully, this research may enable the development of novel tissue regenerative approaches to tissue degeneration such as that induced by spaceflight in microgravity. | |
| 6 | Ames Research Center Moffett Field, California |
The Influence of Mechanical Unloading on Biological Function | Dr. Eduardo Almeida, Cassandra Juran | The spaceflight environment, including microgravity and space radiation, is known to negatively impact mammalian physiology, including somatic stem cell-based tissue regeneration. The degenerative effects of spaceflight that we understand best include rapid microgravity-adaptive bone and muscle loss, loss of cardiovascular capacity, defects in wound and bone fracture healing and impaired immune function. These implications pose a significant risk for long-term human space exploration. Our work focuses on the influence of mechanical unloading on stem cell proliferation, differentiation and regeneration and how alterations in stem cell function may be the cause of widespread tissue degeneration in space. In this opportunity, the selected candidate will work with research scientists to analyze the response of mouse bone and bone marrow stem cells to mechanical unloading using both spaceflight samples and mouse hindlimb unloading experiments. The intern will investigate stem cell responses to microgravity and mechanical unloading using gene expression and protein analysis and furthermore, will investigate the influence of stem cell function on whole bone tissue properties - including structural and molecular analysis. Furthermore, the intern will also work with scientists on optimizing conditions for an upcoming spaceflight experiment where we aim to identify key molecular mechanisms that cause degenerative effects in bone tissue through impaired differentiation of mesenchymal stem cells. The intern will conduct cell culture and gene expression/protein assays to characterize wildtype stem cells compared to the transgenic model. The intern will then work with research scientists to determine the optimal cell culture parameters to conduct the experiment in spaceflight hardware. | Laboratory experience is preferred |
| 7 | Ames Research Center Moffett Field, California |
Machine learning classification of transit-like signals | Hamed Valizadegan | Kepler and TESS are critical missions to increase our understanding of how common earth-like planets (in habitable zone) are. These telescopes work based on transit photometry and their pipelines return a list of threshold crossing events (TCEs) whose light signature resemble a planet. However, not all TCEs are planet orbiting a star and they could be due instrument noise or other astrophysical phenomena. We have been exploring deep learning technology for automatic classification of TCEs and finding planets from non-TCEs. Using our in house tools, we have been able to identify new planets (subject to confirmation). We also have identified multiple ways to improve the existing classifiers and we are looking for interns who can explore these new ways. This internship opportunity is very rewarding because the result will lead to the discovery of new exo-planets. We will also publish the results in prestigious journals. This is a great opportunity to get some visibility. A potential interns needs to know how to program in python and write deep learning codes. The intern is expected to help us developing parts of this project in Python. Tools we use for this project are scikit-learn and Keras (and TensorFlow). Specific Tasks and Responsibilities: Python Coding, Research on appropriate deep learning architectures for time series classification |
AI General knowledge, Bachelor (Masters or PhD is preferred). Python programming |
| 8 | Ames Research Center Moffett Field, California |
Deep Learning Binarization of Vascular images | Hamed Valizadegan | The Space Bioscience Research Branch (SCR) of NASA Ames has developed VESGEN, a software package for analyses and study of vascular images. A bottleneck in efficient application of VESGEN is the fact that it needs binary images as input in order to analyze the vascular images and provides insight about them. Currently, a VESGEN user needs to semi-manually binarize a vascular image using CAD software packages such as Adobe Photoshop before giving the image as input to VESGEN for analysis. Binarization aims to categorize the pixels of a vascular image into two categories, foreground or Vessel pixels and background pixels. We are investigating deep learning technologies to automate the binarization of vascular image. Our results with deep learning have been very encouraging and we are looking to hire an intern to help us further improve the existing technology! Specific Tasks and Responsibilities: Python Coding, Research on appropriate deep learning architectures for image segmentation |
AI General knowledge. Bachelor (Masters or PhD is preferred). Python programming |
| 9 | Ames Research Center Moffett Field, California |
Image analysis software based on neural nets and “deep learning” | James Bell | Image analysis software based on neural nets and “deep learning” has been successfully used to find and classify objects in images. This project investigates whether such software can be used to determine the orientation of an object. For example, it is commonly claimed that image recognition software can use deep learning to recognize the presence of some feature, such as a cat, in an image or video. (http://www.nec.com/en/global/ad/insite/article/bigdata07.html ) This is done by providing the software with a large training set of images in which a particular feature has been identified, and allowing the software to learn to recognize that feature in new images. The idea of this project is that if such software is trained with images of a wind tunnel model at different orientations, along with independent information about orientation of the model in each image, the software will be able to recognize the orientation of the model in new images. Currently, wind tunnel model orientation is found with a combination of onboard accelerometers to detect orientation with respect to the gravity vector, and encoders on the model support to detect rotations around the gravity vector (yaw). These methods are less accurate when the principle motion of the model is in yaw (eg wings-vertical orientation of the model in the wind tunnel) or the model is too small to accommodate an accelerometer package. Conventional photogrammetry can be used to measure model orientation but requires time-consuming setup and calibration, and is vulnerable to changes in illumination. The project would consist of three parts: 1) Set up a simple test apparatus consisting of a rigid body resembling a wind tunnel model, a multi-axis accelerometer, and a yaw meter, on a multi-axis rotation stage. Set up a camera to view the model. Take images at a variety of model orientations while recording the orientation measurements. 2) Feed the images and orientation data into open source deep learning software such as Keras. 3) Compare the accuracy of the resulting software against conventional sensors for determining model orientation. |
Computer science with a focus on data science/neural nets. Aerospace engineering with a strong background in software would also be acceptable. |
| 10 | Ames Research Center Moffett Field, California |
Biosensor Development | Dr. Jessica Koehne | Development of biosensors is an active field due to a wide range of applications in lab-on-a-chip, diagnostics of infectious diseases, cancer diagnostics, environment monitoring, biodetection and others. One of the strategies used for selective identification of a target is to /preselect/ a probe that has a unique affinity for the target or can uniquely interact or hybridize with the target: sort of a "lock and key" approach. In this approach, one then needs a platform to support the probe and a recognizing element that can recognize the said interaction between the probe and the target. The interaction result can manifest optically (by using dyes, quantum dots for example) or electrically. The platform design and configuration may vary depending on whether optical or electrical readout is used and what environment the sensor will be utilized. Recently, printed biosensors on paper substrates have gained much attention for their low cost of manufacture. Within NASA, such printed devices are being investigated because of our potential ability to manufacture in an in-space environment. Such a biosensor would be a print-on-demand device. The current project involves fabricating and validating a printed, electrical biosensor for cardiac health monitoring from a whole blood sample. The intended NASA application is point of care diagnostics for astronaut health monitoring. | |
| 11 | Ames Research Center Moffett Field, California |
Microbial Factories for Solar System Exploration | Dr. John Hogan | Long duration missions to distant bodies within our solar system will require significant resources to support astronauts. Microbial factories could help produce mission relevant products during such missions using in situ resources such as carbon dioxide and water. In terrestrial systems, microbial factories are already being used to produce a wide variety of materials, fuels, nutrients, and medicines. Typically, these microbial systems use high-energy carbon substrates such as sugars. In the extremes of space, however, obtaining sugar-like compounds will prove to be problematic, thus alternative low-energy carbon compounds may need to be employed. The main objective of this project is to evaluate the potential combination of substrates, microorganisms, and products in understanding how a microbial production system will function in the constraints of relevant space missions. The work entails performing microbiological studies and conducting an analysis to determine effective solutions for in-space microbial production systems. | |
| 12 | Ames Research Center Moffett Field, California |
NASA Ames Astrobee Facility | Mr. Jose Benavides | NASA Ames Astrobee Facility Brief description of duties: The successful applicant would be involved with software development and general support of the NASA Ames Astrobee Facility. (www.nasa.gov/astrobee) Specifically, the successful applicant would initially be validating and developing C++ and Java software for a Astrobee. Additional work may include ISS flight quality hardware and maintaining Astrobee Facility labs. The applicant should be familiar with C++ and Java software development and good coding practices. In general, we are looking for someone who is motivated, a self-starter, and capable of working independently on tasks. Other beneficial experience may include; - MATLAB, C/C++, Java, Python, Android Apps, and Linux scripting, Computer Networking - Spacecraft, Small Satellites, CubeSat's - Avionics, Embedded Hardware & Software - Software testing - experience building space flight hardware - Good writing and communications skills, along with the ability to work well both individually and within a multidisciplinary team. | C++ and Java; Good writing and communications skills, along with the ability to work well both individually and within a multidisciplinary team. Other beneficial experience may include: MATLAB, C/C++, Java, Python, Android Apps, and Linux scripting, Computer Networking - Spacecraft, Small Satellites, CubeSat's - Avionics, Embedded Hardware & Software - Software testing - experience building space flight hardware |
| 13 | Ames Research Center Moffett Field, California |
Space Structure Assembly Robotics - The Automated Reconfigurable Mission Adaptive Digital Assembly System (ARMADAS) Project | Dr. Kenny Cheung | The Coded Structures Laboratory at NASA Ames Research Center conducts research across material science, robotics, and algorithms, for application to aeronautics and space systems. The lab's current primary project is titled Automated Reconfigurable Mission Adaptive Digital Assembly System (ARMADAS), and it incorporates a building-block based approach to automated assembly of ultralight lattice-based structures for space infrastructure. Expected activities for this position can be both theoretical and experimental in nature. Advanced research using multidisciplinary analyses seeks to understand the mechanics of new mechatronic and structural strategies and to develop predictive analytical models for the design of systems with novel behavior. Experimental work seeks to obtain accurate data to validate these analyses. * Expected opportunity outcome (i.e. research, final report, poster presentation, etc.): At the conclusion of the internship, the intern will prepare a final report and either make a final presentation or participate in a poster day. The results of the research, if appropriate, can be considered for abstract submittal to a conference in the appropriate subject area for publication. Graduate students may consider more focused investigations leading to preparation of a technical journal article. |
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| 15 | Ames Research Center Moffett Field, California |
Hybrid Rocket Modeling and Experiments | Dr.Laura Simurda | This internship will have two primary focuses. The first will be using ANSYS Fluent to model a small-scale hybrid rocket motor that will be used in upcoming experiments. This problem is challenging as it involves using deforming meshes to model the regression of the solid fuel grain over time and the continued combustion as oxidizer is added. It should be noted that the only part of the motor that is ITAR restricted is the rocket injector. This part will not be modeled by the student and the student will not have access to any designs or models including the injector. The second will be aiding in physical experiments. This may include completing tests using an oxyacetylene torch with an optical setup to prove that the sodium line reversal technique works or helping to setup and run small-scale rocket motor tests. Again, the only component in these tests that is ITAR restricted is the injector and the student will not have access to this part. |
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| 16 | Ames Research Center Moffett Field, California |
Orbit Analysis for LEO CubeSats and Low Lunar Orbits | Marcus Murbach | The intern will fulfill assignments as a member of the orbital dynamics team in the Mission Design Division at NASA Ames Research Center. The Mission Design Division conducts early-stage concept development and technology maturation supporting the Center's space and aircraft mission proposals. Personnel have experience in mission planning, small spacecraft design, and engineering analysis. The Mission Design Division, or MDD, supports the full mission life cycle in the areas of: • Early Concept Development • Mission Design • Rapid Prototyping • Mission Implementation The candidate will work closely with flight dynamics engineers to expand existing innovative approaches to low altitude orbit design. This work includes the effects of differential drag in Low Earth Orbit (LEO), as well as, the effects of mascon perturbations in low lunar orbits. SmallSat and CubeSat missions are a specialty of Ames Research Center and current research addresses practical issues with small spacecraft missions in a LEO and an interplanetary environment. Another orbital mechanics specialty of ARC is low, equatorial lunar orbits and design tools for addressing lunar gravitational perturbations. For lunar orbits, we plan to expand the research on equatorial frozen orbits and the visualization displays for characterizing gravitational perturbations. For LEO, the characterization of the effects of drag in relative satellite disposition is in the scope of this position. The goals of this assignment include documentation and display tools that will reside as part of the Mission Design Division’s computational capability. Additional assignments as needed may involve CubeSat low thrust trajectory design, multiple CubeSat swarms, and CubeSat reentry calculations. |
Candidate’s Computer and/or special skills: GMAT or STK/Astrogator, Matlab or Visual Basic. Strong writing skills are expected, both for internal documentation of work accomplished and for publications resulting from this work. |
| 17 | Ames Research Center Moffett Field, California |
Astrobee Robot Software | Marion Smith/ Brian Coltin | The Astrobee robot will launch to the International Space Station in May 2018. It will fly freely and autonomously throughout the space station, where it will assist astronauts, provide a mobile telepresence platform for ground controllers, and be used as a research platform for a variety of experiments. See https://www.nasa.gov/astrobee for more information. Students of all levels are encouraged to apply to join the Astrobee Flight Software Team. Experience with C++, Linux, and git is preferred. The internship project will depend both on need and the student's interests. Ideally, the project will result in a research publication. Past student projects have included diverse topics such as path planning, obstacle mapping, depth camera calibration, simulator development, sensing and filtering, fault recovery, video streaming, mapping under changing light levels, and more. | Students of all levels are encouraged to apply to join the Astrobee Flight Software Team. Experience with C++, Linux, and git is preferred. The internship project will depend both on need and the student's interests. Ideally, the project will result in a research publication. Past student projects have included diverse topics such as path planning, obstacle mapping, depth camera calibration, simulator development, sensing and filtering, fault recovery, video streaming, mapping under changing light levels, and more. |
| 18 | Ames Research Center Moffett Field, California |
Analyzing satellite and drone imagery from the Atacama Desert, a Mars analog environment in Chile | Dr. Mary Beth Wilhelm Dr. Kim Warren-Rhodes (SETI) |
The project goal is to understand the impact of an extreme and rare rainfall event on the modification of soil and unltimately on the generation and preservation of molecular biosignatures from the largely inactive microbial community in the driest soils in the Atacama Desert, Chile. This work has implications for predicting if rapid shifts in water availability could impact a putative microbial population sufficiently to generate measurable biomarkers in modern Martian near-surface environments (e.g. RSL, gullies, northern plains ice-cemented soil), and inform where future missions should search for biomarkers that could have been preferentially preserved. More specifically, we would like to have a student (1) analyze nano-climate sensor data from hyperarid Atacama soils and map data onto regional gravimetric moisture data; (2) integrate and analyze historical satellite data, drone, and field imagery to understand the extant, patterns, and history of the water regime in the driest parts of the Atacama Desert; and (3) develop a fluvial map and construct a simple model of water transport and accumulation across surfaces and infiltration into the soil column at different spatial scales. | |
| 19 | Ames Research Center Moffett Field, California |
Experimental Visualization of Shock Structure in a Miniature Arc Jet | Dr. Megan Macdonald/ Mark McGlaughlin | The Thermophysics Facilities Branch has recently upgraded its 30 kW miniature arc jet (mARC II). These upgrades have resulted in a high-speed, high-temperature jet with a new shock structure. The intern will be integral in implementing and analyzing experimental diagnostics aimed at characterizing the flow physics and operational health of the upgraded facility. This may include visualization of the shock structure within the jet, measurements of the magnetic field around the arc heater, spectroscopic studies of the plasma within the column, and both standard and non-intrusive methods of measuring jet quantities such as heat flux, stagnation pressure, or electron density. The intern will work closely with the team that operates and maintains the mARC. Student will give a final presentation and compile a final report documenting the work completed at ARC. If the results support it, the work will be considered for submission to a conference or journal publication. |
Student should be a graduate student with a solid background in aerospace or mechanical engineering and familiarity with fluid flow, optical diagnostics, and experimental research. The student should be able to work as part of a team. Pursuing Masters Pursuing Doctorate Pursuing Post Doctorate Engineering - Aerospace Eng. Engineering - General Engineering - Instrumentation Eng. Engineering - Materials Eng. Engineering - Mechanical Eng. Engineering - Optical Eng. |
| 21 | Ames Research Center Moffett Field, California |
Novel Planetary Robotic Sensor Development | Michael Dille | Long-term wide-area measurement of dynamic environmental surface-level phenomena in hard-to-reach areas is of growing interest for atmospheric research in both planetary exploration and Earth science contexts. These may include flows or variations in moisture, gas composition or concentration, particulate density, or even simply temperature. Improved knowledge of these processes delivers a deeper understanding of exotic geologies and distributions or correlating indicators of trapped water or biological activity. However, such measurements must frequently be taken in unsafe areas such as caves, lava tubes, or steep ravines where neither human field teams nor robotic vehicles can easily reach. To provide such a capability, we have developed small expendable sensors which may be hand-placed, lobbed from a robotic vehicle, or dropped from aircraft. Deployed sensors form a mesh network, communicating wirelessly during flight and once anchored, to provide radio or optical beacons and monitoring using cameras, environmental sensors, and miniature chemical detectors. We seek students interested in refining the existing prototype system, developing new sensor payloads, and evaluating new deployment mechanisms. |
The ideal intern is a well-rounded student with interest in sensing instrument development. Depending on area of interest, relevant skills include electronics, mechanical design, embedded software development, RF, or optics. Opportunities in sensor data visualization and prediction of dynamic phenomena are also open. Project Area of Research: Sensors, embedded systems, electronics, mechanisms, RF, data visualization |
| 22 | Ames Research Center Moffett Field, California |
Advanced Life Support | Michael Flynn | Innovation a required skill. Our group focuses on training the next generation of NASA scientists on how to innovate and to develop the next generation of water recycling space flight systems that will enable the human exploration and colonization of the Solar System. Advanced life support systems include all systems and technologies required to keep astronauts alive in space: water recycling, air recycling and waste treatment. This Internship is primarily focused on water recycling but is cognizant that an optimized system will include integration with air and waste systems. Our research areas include: • Systems that can recover energy from waste. • In situ resource utilization in spacecraft and on planetary surfaces. • Application of space flight systems technologies to sustainable terrestrial development. The ideal candidate is an undergraduate or graduate student in the fields of: Engineering (Chemical, Environmental, Electrical, Industrial, Civil, Computer), Mathematics, Chemistry, Biology, Physics, and Environmental Science The participant must be a team player and comfortable working with professionals of different cultural and scientific background. At the end of the internship the participant will be required to submit a white paper. |
The ideal candidate is an undergraduate or graduate student in the fields of: Engineering (Chemical, Environmental, Electrical, Industrial, Civil, Computer), Mathematics, Chemistry, Biology, Physics, and Environmental Science The participant must be a team player and comfortable working with professionals of different cultural and scientific background. At the end of the internship the participant will be required to submit a white paper. |
| 23 | Ames Research Center Moffett Field, California |
Control Internship Position | Nhan Nguyen | Advances in material technologies have led to a new class of ultra-efficient transport aircraft that incorporate advanced high-aspect ratio flexible wing designs with novel control effectors. The NASA Performance Adaptive Aeroelastic Wing (PAAW) research element under the NASA Advanced Air Transport Technology (AATT) project seeks to develop control technologies and analysis capabilities to enable the implementation of these advanced future wing designs. Development of control systems for highly flexible wings is a critical component of this relevant and challenging field. This internship opportunity will support the NASA research team in developing disturbance estimation techniques for use in both adaptive and non-adaptive control designs for gust load alleviation. The intern will also help formulate design requirements for future hardware that facilitate successful estimation and control. Specific applications for the techniques developed include flight control, wing shaping, and load alleviation of flexible wing aircraft. Final deliverables for this internship include any research results such as report, presentation, or conference publication as well as simulations demonstrating operation of the disturbance observer in use with the control system. |
The intern should have theoretical and practical knowledge of control and estimation including adaptive control, as well as extensive experience simulating dynamic models within MATLAB/Simulink. |
| 24 | Ames Research Center Moffett Field, California |
Experimental Aero-Physics Engineering Intern | Rabi Mehta | The intern will help with a variety of experimental projects which investigate the fluid mechanic, aerodynamic, and/or aeroacoustic characteristics of manned and unmanned spacecraft, aircraft, rotorcraft, ground vehicles, ships, structures, sports balls, and other objects. The experimental projects will be conducted in conjunction with on-site research mentors, using NASA Ames wind tunnel, water channel, lab, and/or computer facilities. The intern will assist with many different phases of one or more test programs; these phases may include prior data review and test planning, test logistics, experimental design and setup, model construction and installation, instrumentation calibration, installation, and operation, test video/photo documentation, post-test data plotting and analysis, and report development. The intern may also assist with the development and execution of various computer programs used to analyze or simulate the results of experimental test programs. The main outcome of this internship will be experience with a variety of disciplines related to fluid mechanics, aerodynamics, and/or aeroacoustics. | Physics, Science, Math, Engineering backgrounds preferred |
| 25 | Ames Research Center Moffett Field, California |
Scott Murman | This project develops new methods for high-order finite-element schemes. Work involves all aspects of the simulation pipeline, from mesh generation, to flow visualization. Tasks are part of the eddy framework, and coordinated with other members of the eddy development group. The eddy solver is a novel code suite for scale-resolving simulations developed at NASA as part of the CFD Vision 2030 study. eddy is a public-domain software project, so there are no restrictions on access. Applications span many domains, from turbomachinery, to parachute fluid-structure interaction, to hypersonics. Software environments include c/c++, python, parallel processing, and GPU. |
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| 26 | Ames Research Center Moffett Field, California |
Lunar Topographic Products from Orbital Images | Ross Beyer | Digital terrain models are essential for cartography, science analysis, mission planning and operations. The NASA Ames Intelligent Robotics Group (IRG) has developed software to automatically generate high-quality topographic and albedo models from satellite images. Our software, the Ames Stereo Pipeline (ASP), uses stereo vision and photoclinometric techniques to produce 3D models of the Earth, Moon, and Mars with very high accuracy and resolution. The intern will assist IRG to improve the quality of topographic products from lunar orbital images. In particular, the intern will help develop multi-stage stereogrammetric methods to exploit the full potential of multiple, overlapping views of a planetary surface. The intern will work closely with NASA researchers and engineers throughout the internship. Very strong emphasis is placed on incorporating and integrating the intern's research into IRG's on-going projects. Research results may be published in one (or more) technical forums: as a NASA technical report, a conference paper, or journal article. | The intern must have a background in Computer Science or Mathematics. Practical experience with computer programming, Linux-based software development and open-source tools (gcc, git, etc) is required. Experience with C++ is strongly encouraged. |
| 28 | Ames Research Center Moffett Field, California |
Evaluation of Biomedical Devices for Exploration Missions | Tianna Shaw | The primary responsibility for this intern position is to support the development and testing of biosensor monitoring systems in support of the Human Research Program (HRP) Exploration Medical Capability (ExMC) Element. The Ames Research Center (ARC) team focuses on the integration of biomedical devices into a prototype medical data architecture (MDA), that will receive, store and display a wide variety of physiological parameters which include; electrocardiogram (ECG), heart rate, blood pressure, pulse oximetry, respiratory rate, and body temperature. The intern will work under the guidance of an ExMC project engineer and will also work with ExMC project system engineer. The intern will support human in the loop laboratory testing of biomedical devices and development of the medical data architecture system. The intern will also participate in data collection, processing and analysis of biosensor data and assist in report writing. He/She will support MDA operations in collaboration with CSA prototype wearable biosensor system and other systems. | |
| 29 | Ames Research Center Moffett Field, California |
Erosional Studies of Mars and Earth Using Digital Terrain Models | Dr. Virginia Gulick | Fluvial and hydrothermal studies using HiRISE images and Digital (Terrain) Elevation Models, combined with CTX, HRSC, CRISM, and other Mars or terrestrial data sets. These studies are focused mainly on the formation of gullies, channels, valleys and other fluvial landforms on Mars and Earth. Terrestrial analog sites or hydrologic or landform models will be used to illuminate the importance of various processes as well as understanding the implications for paleoclimatic change. Additional opportunities may also be available in assisting with HiRISE science planning and targeting support, submitting image requests, and analysing acquired image data. Geology, geography, or planetary science background is desired. | Experience working with ENVI, Matlab, Photoshop, USGS Integrated Software for Imagers and Spectrometers (ISIS), Geographic Information Systems GIS (e.g., ArcGIS, GRASS), SOCET SET, Ames Stereo Pipeline, and Python programming is helpful. Excellent communication and writing skills are desired. Enjoys working both individually and in teams, with creativity, positive energy, and determination. |
| 30 | Ames Research Center Moffett Field, California |
Rotorcraft Aeromechanics | Dr. William Warmbrodt, Branch Chief | The Aeromechanics Branch has numerous intern projects for aeromechanics technology solutions that will enable the development of vertical flight vehicles, both piloted and uninhabited, providing unlimited mobility in three dimensions for terrestrial and planetary science applications. Innovative and revolutionary ideas for vertical-flight vehicle technologies are developed, enhanced, analyzed, demonstrated, and assessed using advanced modeling, ground-based facilities, simulation, and flight as appropriate. Intern projects address all aspects of vertical lift aircraft and operations which directly influence the vehicle's performance, structural, and dynamic response, external acoustics, vibration, and aeroelastic stability. The span of research projects include civilian transport rotorcraft (helicopters, tilt rotors, and advance designs), urban air mobility personal air taxis, and unmanned aerial vehicle (UAV) platforms, including quadcopters and other advanced, small remotely piloted or autonomous vertical takeoff and landing (VTOL) aircraft, and planetary science vertical lift aircraft such as the Mars Helicopter. The programs are both theoretical and experimental in nature. Advanced computational methodology research using computational fluid dynamics and multidisciplinary comprehensive analyses seek to understand the complete aerial vehicle's operating environment and to develop analytical models to predict aerodynamic, aeroacoustic, and dynamic behavior. Experimental research seeks to obtain accurate data to validate these analyses, investigate phenomena currently beyond predictive capability, and to achieve rapid solutions to flight vehicle problems. Interdisciplinary technology projects for vertical flight vehicles span all aspects of atmospheric flight from vehicle synthesis, conceptual design, aerodynamic and dynamic verification, flight control, handling qualities and human integration (crewed and uncrewed platforms), ride quality investigations, and planetary science mission development. Specific attention is given to identifying and pursuing novel vertical flight vehicle concepts and technologies for emerging urban air mobility markets and planetary exploration. | Broad background in science and math classes typical of an upper division undergraduate/graduate in mechanical, aeronautical, aerospace, electrical engineering, and computer science. Knowledge of MatLab, CAD, Simulink, CREO ProE/SolidWorks/AutoCad, VSP, Rhino, C++, python, or other programming/software languages is desired, but not mandatory. |
| 31 | Ames Research Center Moffett Field, California |
Deep Learning for Satellite Imagery (DELTA) | Brian Coltin | NASA Ames is partnering with the USGS and NGA to develop DELTA, an open source toolkit for deep learning on satellite imagery. DELTA will empower Earth scientists to achieve state of the art classification results with little to no knowledge of machine learning or computer programming. Initially, DELTA will be trained and evaluated on mapping floods for disaster response and recovery. Potential later uses include studying other natural disasters, changing land use patterns, climate change, and more. Specific Tasks and Responsibilities: The intern will contribute a feature to the DELTA toolkit which will ideally result in a research publication. Potential projects include: incorporating various metadata into the learning algorithm; experimenting with new neural network architectures or training methods; incorporating multi-satellite sensor fusion; and more, depending on student interest. |
Experience with C++ and/or Python, Linux development, and machine learning are preferred. |
| 33 | Ames Research Center Moffett Field, California |
Thermal Mapping for River Measurement from a UAV | Uland Wong, Michael Dille | The Intelligent Robotics Group at Ames is designing a tightly-integrated UAV payload containing thermal and visible-light cameras to estimate flow rates in streams and rivers using novel optical techniques. In addition to cameras, onboard computing will perform real-time processing to provide live data streaming and vehicle path planning to deliver a complete survey across the water surface. The purpose of this payload is to automate and supplement a sparse and strained network of so-called stream gaging stations that provide the input dataset for US watershed monitoring. This data is critical to track water supplies, predict flood risks, preserve aquatic systems, and respond to natural disasters. This project is collaborative work with the United States Geological Survey (USGS) and presents a chance to engage in cross-cutting research and meet with a variety of scientists. | Interns should be familiar with Robot Operating System (ROS) and capable of developing functionality for a ROS system using C++ or Python programming. Familiarity with camera sensors and image processing (such as with OpenCV) is also desired. Skills for mechanism design (e.g. CAD), payload integration (e.g. electrical or shop skills), and testing are a plus. |
| 34 | Ames Research Center Moffett Field, California |
3D Microscopy and Novel Optical Sensing for Planetary Exploration | Michael Dille | We have recently developed a new type of miniaturized 3D microscope that uses just a single optical path (a single camera) and a solid-state means of controlling a moving aperture that allows imaging from multiple viewpoints. In conjunction with carefully controlled multi-directional illumination, this multi-view stereo imagery permits extraordinarily high fidelity 3D reconstruction at microscopic scale. This has incredible value in planetary exploration and terrestrial field applications to study surface composition and geometry, generating immersive graphical displays, detecting faint bio-signatures, and analyzing soil structure. Results with the device so far have been excellent, and we now seek to mature the design in either of two ways. First, we wish to further miniaturize and ruggedize the device, produce a compact fully self-contained version, and demonstrate its value for micro-rover or remote sensor pod applications. This includes work in optics design, CAD, and electronics. Second, we want to better characterize its performance under different conditions, extend and refine the 3D reconstruction algorithms, and implement new algorithmic techniques for material segmentation and bulk material property computation using reflectance modeling. This portion is primarily a software-side computer vision problem. We have unique access to a large array of planetary soil simulants to provide an immediately relevant dataset and a strong interest in publishing results in both the machine vision / optics and planetary applications communities. |
Some combination of experience is needed with theoretical optics design and/or optical design software such as Zemax, image processing concepts and algorithms, and 3D reconstruction algorithms. Reasonable programming experience is expected to support the task (e.g. matlab, python, or C++). For the interested student, this could provide an excellent senior project, a substantial portion of a Master's thesis, or an interesting direction and application for PhD thesis work in a related area. Project Area of Research: Microscopy, computer vision, optics, sensors, planetary science |
| 35 | Ames Research Center Moffett Field, California |
Novel Media Visualization | Michael Dille | Robotic planetary exploration is rapidly moving beyond simply taking pictures and detecting basic chemicals, instead now providing ever-larger bodies of data. At the small scale, advanced detectors and imagers now capture fine details of the structure of rocks, soils, dust, while at the larger scale seismographs and climate-scale weather monitoring offer insight into complex wide-area geology and atmospheric processes. The sheer volume of this data and the translation of raw numerical values into representations intuitive for human scientists create great difficulty. Presenting such data to the public in interesting, easily-understood ways is an even greater challenge. Recently developed forms of media including immersive virtual or augmented reality, multi-material 3D printing, and holographic displays offer new and powerful means to meet these challenges by expressing raw and derived data for clear and rapid interpretation. They also provide promise for enabling physically disabled individuals to experience and appreciate environments they could not otherwise reach. We invite a student interested in any or all of these technologies to explore with us such presentation concepts, to produce interactive graphic displays and/or 3D printed artifacts from remotely collected data. We can provide the student with access to our existing array of 3D printers, a rare and extensive collection of planetary soil simulants, low cost 3D displays, and some of the leading experts in planetary robotic sensing and geology. |
Some combination of experience in computer vision, computer graphics, display technologies, programming, human-computer interaction, or media arts is needed. Given the complex and high open-ended nature of this work, self-directed senior level students with strong algorithmic and linear algebra backgrounds are suggested. Project Area of Research: Data visualization, computer graphics, media arts, planetary science |
| 36 | Ames Research Center Moffett Field, California |
Mini Hyperspectral Camera for Planetary Surface Study | Michael Dille | Determining material composition or biological presence is an important task in remote robotic planetary missions and Earth science field studies. Point spectrometers and filter imagers are popular instruments to collect such data, however they are often bulky devices that provide either poor spatial or spectral resolution. Future mission concepts demand small, inexpensive, and rugged sensors that can be applied to micro-rovers, small unmanned aircraft, and distributed mesh networks. The Intelligent Robotics Group at NASA Ames has developed a concept for a focal plane imager (camera) built upon Micro Electro Mechanical (MEMS) and Liquid Crystal Display (LCD) technologies that is effectively solid state but can produce multi-spectral images in a small device. Crucially, using concepts of compressive sensing theory, the effective resolution of the image can be varied with the number of samples taken, allowing a trade-off between sampling time, desired data quality, computational demand, and data volume. We now seek to build, characterize, and demonstrate a bench prototype of this camera and explore directions for further ruggedization, miniaturization, and increased science applicability. |
Relevant research interest as a master's/PhD thesis or mature undergraduate thesis. Mainly, some combination of specific experience optics design theory and/or optical design software such as Zemax, and image processing in software. Electronics and/or mechanical experience would be helpful. Project Area of Research: Computer vision, optics, sensors, planetary exploration |
| 37 | Goodard Space Flight Center, Greenbelt, Maryland | Lunar and Planetary Sample Science | Dr. Barbara Cohen | The history of each planet is told through its rocks- how the minerals are put together, what the minerals are made of, and when the rocks were formed. We use multiple analysis techniques to understand the formation, modification, and age of planetary materials to learn about their parent planets. We invite interns to participate in research projects using the Mid-Atlantic Noble Gas Research Laboratory (MNGRL.) | Geology, Chemistry, Planetary Science |
| 38 | Ames Research Center Moffett Field, California |
Automated Planning for in-Vehicle Robotics | Jeremy Frank | In-vehicle robotics are robots that operate inside large spacecraft such as the International Space Station and future vehicles such as the Gatway. For example, the Astrobee robot will launch to the International Space Station in May 2018. It will fly freely and autonomously throughout the space station, where it will assist astronauts, provide a mobile telepresence platform for ground controllers, and be used as a research platform for a variety of experiments. The internship project will be to conduct research and development of automated planning for such robots. The intern will work with ROSPlan, the automated planning technology plugin to the Robotic Operating System (ROS). The intern will develop enhancements to ROSPlan to perform robust planning and replanning in the presence of unexpected events, uncertain activity duration, and possibly faults. The intern will use robotics simulators written in Gazebo to evaluate different enhancements. The intern may also require familiarity with other technologies such as FlexBE (to implement lower level robot behaviors). The intern should have a good working knowledge of artificial intelligence planning techniques, have good software development skills, and be interested in research in the applications of AI technology to robotics. | |
| 39 | Goddard Space Flight Center, Greenbelt, Maryland | The role of ionospheric oxygen ions in magnetic reconnection in Earth's magnetosphere: Fully kinetic simulations and MMS observations | Li Jen Chen | During the internship, the intern will work with Li-Jen Chen to investigate the role of ionospheric oxygen ions on magnetic reconnection by employing a combination of fully kinetic simulations and satellite measurements. The measurements will be taken from NASA's flagship mission: the magnetospheric Multiscale (MMS). Existing magnetic reconnection events in Earth's magnetotail and magnetopause will be analyzed to compare with results from the simulations. A publication will be prepared to disseminate the research findings at the end of the internship period. | |
| 40 | Ames Research Center,Moffett Field, California | Architecture Analysis tool for the Lunar Autonomous Positioning System | Kelley Hashemi | The Lunar Autonomous Positioning System (LAPS) concerns construction of an orbital and ground resource network that provides Position, Navigation, and Timing (PNT) services for lunar surface operations. While functionally similar to the Global Positioning System (GPS) for Earth, this system will instead build an automated PNT framework using a combination of participating lunar missions and supplementary PNT assets. The goal is to use distributed algorithms to autonomously achieve orbit determination and time synchronization of accuracy sufficient for lunar surface end-user localization. The focus of the intern’s effort will be to enhance a simulation-based tool that facilitates exploration of the many LAPS architecture choices and relate them to user localization accuracy. Tasks could include a portion of the following: 1. Implement functionality to generate realistic measurements among PNT assets including considerations such as line of sight, satellite attitude, noise, signal variation due to selected hardware or operational mode. 2. Implement localization algorithms for an end user on the lunar surface using position and time estimates from visible PNT assets, gauge accuracy for variable system design choices. 3. Develop new or implement other existing automated, distributed orbit determination and time synchronization algorithms that are usable within the confines of the system architecture. 4. Execute localization accuracy trade study using the tool considering hardware selection and operational choices, asset locations, algorithm choice, access to ground truth measurements; separately consider the impact of asset failure | Computer/Software Skills Required: MATLAB. Desired: GMAT or similar. Scientific and Technical Skills: Familiarity with topics such as Kalman filters, GPS, orbital dynamics, and numerical integration is desirable. Academic Level: College Seniors through PhD |
| 42 | Ames Research Center Moffett Field, California |
Remote Sensing | Dr. Charles Gatebe, Branch Chief | NASA's Cloud Absorption Radiometer (CAR) measurements of the bidirectional reflectance-distribution function (BRDF) are unique and encompasses various natural surfaces that are representative of many land cover or ecosystem types found throughout the world. These observations are now becoming increasingly important when evaluating higher spatial resolution satellite products over different surfaces such as ocean, vegetation, snow, desert, wetlands, cloud decks, and smoke layers. In this project, we will process all the BRDF cases from the recent airborne campaign known as the Student Airborne Science Activation (SaSa) field campaign and make it publicly available and accessible for student research projects at: https://www-air.larc.nasa.gov/missions/sasa/index.html. | Experience with programming in Python and ENVI. |
| 43 | Ames Research Center Moffett Field, California |
Studying Chemical Inventory around Newly Forming Stars using SOFIA Infrared Observations | Dr. Naseem Rangwala, Branch Chief | The intern will work on the SOFIA observations of hot molecular cores to determine its chemical composition and to understand it astrochemistry. The intern will assist in analyzing a large set of high-resolution mid-infrared spectra of these astronomical objects by identifying the line frequencies, line widths and line peaks. They will use the experimental and theoretical catalogues for identifying the molecular species in these spectra. They will assist in developing tools to fit the spectral lines and use them to determine the chemical abundances of molecular species in these astronomical targets. They will compare these abundances to astrochemical models to investigate the chemistry in the regions surrounding these targets and how this chemistry is influenced by the local physical conditions. | |
| 44 | Ames Research Center Moffett Field, California |
Dr. William Warmbrodt, Branch Chief | Urban air taxi operations, also known as urban air mobility or on demand mobility applications, are enabled by vertical take-off and landing (VTOL) capability. Power and energy requirements are minimized by using low disk-loading rotors. Short range requirements permit consideration of non-traditional propulsion concepts. The community of innovation has recognized that technology advances in structures, automation and control, energy generation-storage-utilization, and tools for design and analysis, coupled with pressures of resource availability and population density, make this the right time to explore new ways to move people and goods. The objective of the on-going NASA research program is to identify concept vehicles that can be used to focus and guide NASA research activities in support of aircraft development for emerging aviation markets, in particular VTOL air taxi operations. To meet this objective, the designs are carried far enough to identify crucial technologies and research requirements, to explore a range of aircraft types, propulsion system types, and size, and to examine sensitivities to trades of requirements. While identifying relevant issues and major technical deficiencies is important, resolving all questions is not necessary, and component weight estimates and performance models can be the subject of future work. With this approach, the specific design choices made are not important, as long as primary and relevant research requirements are covered. Indeed, to these ends it is best that NASA concept vehicles be different in appearance and design detail from prominent industry arrangements. Recently two new NASA reference vehicles were investigated. Both aircraft are configured as conventional tiltrotors, but one is powered by turboshaft engines, and one is fully electric. The sizing and performance of the two aircraft are discussed, as well as how the performance and characteristics compare to a selection of other NASA reference vehicles. It is found that the tiltrotor configuration is capable of reaching speeds 43% to 51% faster than the other turboshaft designs, and 54% to 93% faster than the other electric designs. The proposed research is to further investigate the benefits and disadvantages of these NASA tiltrotor concept aircraft for UAM operations where performance and noise are critical operational aspects for successful usage in urban air taxi operations. NASA has developed a Conceptual Design Toolchain for predicting noise levels during UAM operation (Fig. 1). These tools will be exercised to refine the two UAM tiltrotor designs and assess the performance and noise characteristics of these aircraft in UAM operations and the sensitivity. The NASA Design and Analysis of Rotorcraft will be used to refine the concept vehicle designs to the specific UAM missions. The CAMRAD II rotorcraft comprehensive analysis tool will be used for defining vehicle trim, performance, dynamics, and airloads. AARON/ANOPP2 will then be used to calculate the radiated far field acoustics during UAM air taxi operations. A final report will be written summarizing all the findings of this study. Figure 1. NASA UAM Conceptual Design Toolchain |
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| 46 | Goddard Space Flight Center, Greenbelt, Maryland | Multi-layer Perceptron and Deep Learning Networks | Hari Subedi | At NASA GSFC, we have used a multi-layer perceptron (MLP) and deep learning network (DNNs), to perform the phase retrieval and low-order sensing estimation. Using these methods, we have trained on the novel data patterns and then used this trained network infer the non-linear relationship between the LOWFS images and the low-order Zernike aberrations. The ML techniques have demonstrated significant improvement over the current state-of-the-art, however, the inference time is an order of magnitude larger than required. We are working on increasing the inference speed of the ML estimates. | |
| 47 | Goddard Space Flight Center, Greenbelt, Maryland | Modular Reconfigurable Robot for Space Applications: | Umesh Patel/544 (Civil Servant) | Modular Reconfigurable Robot for Space Applications: The development of robotics technology in extreme environments such as for space exploration and deep mining has received considerable attention in recent years. There are a variety of tasks that articulated robots can do in space including satellite servicing, planetary exploration, and scientific experimentation that include sample and return of planetary atmosphere or rocks. The articulated robots for space applications need to be compact, lightweight, robust and adaptable for different space environments. Modular reconfigurable robots that are made up of repeated, regularly shaped modules can inherently provide such advantages. Since the systems can be arranged into different forms, the same robotic system can be used to perform a large variety of tasks. Rather than using many specialized tools, one Modular Robot system can suffice for most of applications. The main objective of this research is to develop a modular reconfigurable robot system concept that provides compactness, robustness, adaptability, redundancy, cost effectiveness and simpler control interface. | |
| 48 | Goddard Space Flight Center, Greenbelt Maryland, US. https://maps.app.goo.gl/xzcuzmGmaBPRv9we7 | Spacecraft Attitude Control System (ACS) or the more general Guidance, Navigation, and Control (GN&C) System | Paul Mason/591 (Civil Servant) | This intern opportunity is for students who are interested in the analysis, design, and implementation of Spacecraft Attitude Control System (ACS) or the more general Guidance, Navigation, and Control (GN&C) System. Intern may take on the following tasks during his/her internship: Spacecraft dynamics modeling, sensor and actuator modeling, control and estimation algorithm design, Monte Carlo and sensitivity studies, simulation development, scripting and programming, visualization, hardware testing, and data analysis. There are up to three positions available and we are looking for a variety of experience and education level. The interns would be part of a Attitude Control System (ACS) Analysis team, where his/her mentor(s) would also be a member. The specific tasks would be tailored to the intern's interests and strength. A typical workday for an intern may vary depending on the project. However, some mathematical derivation, some MATLAB scripting, some C programming, and some technical writing should be expected. | |
| 49 | Ames Research Center Moffett Field, California |
Small Satellite Requirements Matrix | Dr. Craig Burkhard (Civil Servant) | The State-of-the-Art of Small Spacecraft Technology Report, a publicly available collection on small satellite subsystems in: Integrated Spacecraft Platforms; Power; In-Space Propulsion; Guidance, Navigation and Control; Structures, Materials and Mechanisms; Thermal Control; Small Spacecraft Avionics; Communications; Integration, Launch and Deployment; Ground Data Systems and Mission Operations; Identification and Tracking; and Deorbit Systems. The student will devise a new web module for the report web app to utilize the subsystems information within the report, defining components matching users input requirements. The intern will develop a small satellite requirements matrix template for users to define requirement parameters for unique small satellite specifications and to search the information within the report to provide a list of recommended subsystem components to the user. The intern will lead the effort but collaborate and work with others on the team. The intern will gain knowledge of small satellite systems engineering processes, various components of designing a small spacecraft and web development coding platforms and applications. | |
| 50 | Ames Research Center Moffett Field, California |
Aerothermodynamics at Ames Entry Systems and Technology Division | Mr. Jeff Hill, Branch Chief | Interns on this project will use advanced modeling and simulation of highly excited gases at low densities by leveraging experimental data from the newly constructed Low Density Shock Tube (LDST) at NASA Ames Research Center. Specifically, this project will seek to model the LDST apparatus with state-of-the-art numerical simulation tools which will be subsequently compared against new emission spectroscopy measurements. The numerical tools used will be SPARTA, an open source DSMC code developed by the U.S. Department of Energy, and NEQAIR, an excited state line-by-line radiation code developed at NASA Ames. The student will conduct preliminary simulation of a planar shockwave in SPARTA at conditions consistent with LDST experiments. Tools will then be developed to transfer the SPATA simulation data to NEQAIR for simulation of the emission spectroscopy diagnostic. These simulated results will then be compared to the LDST data to validate model predictions. | |
| 51 | Johnson Space Center | Mars Sample Return (MSR)-related research at JSC Astromaterials Research and Exploration Science (ARES) | Dr. Marc Fries | The intern will conduct novel Mars Sample Return (MSR)-related research at JSC Astromaterials Research and Exploration Science (ARES). Dr. Fries is a Raman spectroscopist and an expert on carbonaceous materials in natural systems, ranging from organic compounds, to macromolecular solids, to diamond. He currently performs advanced curation research to improve the care of current and future NASA collections. The intern will investigate the hypothesis that water evolved from hydrated sulfates will mobilize in the MSR cache tubes and interact with other minerals. They will use Raman spectroscopy at the Hliðskjálf Raman Laboratory at NASA ARES to interrogate the hydration state of sulfates and perchlorates under Mars cache-like conditions, including the temperature cycling that cached samples will experience. | |
| 52 | Ames Research Center Moffett Field, California |
Neuromorphic Technology | Dr. Michael Lowry | The intern will work closely with NASA scientists and engineers on spaceflight demonstrations of new neuromorphic chips: NASA is developing the capability of flying neuromorphic co-processors for expanding the autonomy capabilities of small spacecraft. During the internship, the student will work with NASA mentors and small companies in developing infrastructure for supporting a neuromorphic co-processor including electrical, mechanical, and computational interfaces and support and possibly Mems sensor integration. This research will support NASA’s future endeavors in autonomy and robotics as well as missions for the moon, Mars, and beyond. The student will expand their skills and knowledge while providing advancement towards spaceflight. | |
| 53 | Ames Research Center Moffett Field, California |
High Fidelity Computational Fluid Dynamics | Dr. Patricia Ventura-Diaz, Senior Research Scientist/Engineer | The intern will work with the high-fidelity Computational Fluid Dynamics (CFD) team at the computational physics branch within the NASA Advanced Supercomputing Division to assist in the study, design, and development of future advanced air mobility vehicles. Using NASA’s supercomputers, the intern will support geometry development, computational analysis, and post-processing for different multi-rotor vertical take-off and landing (VTOL) vehicles, including applications such as air taxis and planetary science vertical lift aircraft. Potential work may include efforts such as: assisting in high-fidelity CFD simulations for several vertical lift vehicles (i.e. quadcopters, tiltwing air taxi, vehicle-vertiport aerodynamic interactions, Dragonfly rotorcraft lander for Titan exploration mission, etc.), or laminar-turbulent flow transition modeling for rotorcraft. Programming in Python, C++, Fortran, Tcl/bash may be involved, although no previous experience is required. Computational analysis tools like Tecplot, Pointwise, OpenFOAM, and NASA’s codes will be utilized throughout the internship to model and study the vehicles. | Graduate Masters;Graduate Ph.D.; Programming in Python, C++, Fortran, Tcl/bash may be involved, although no previous experience is required. Computational analysis tools like Tecplot, Pointwise, OpenFOAM, and NASA’s codes will be utilized throughout the internship to model and study the vehicles. |
| 54 | Ames Research Center Moffett Field, California |
Aviations Operations | Mr. William Wade, Aviation Operationss Management Division Chief | The student will work closely with NASA scientists and engineers in the the NASA Ames Aviation Operations Management Division which provides flight support to various science missions using Uncrewed Aerial Systems (UAS). The student will collaborate with UAS pilots, maintainers, aviation engineers, scientists, payload engineers, and program managers to learn about safe, compliant, and effective UAS support to airborne science missions. The student will observe the processes required to take a scientific concept to flight by navigating the administrative processes required to ensure airworthiness and flight readiness requirements. The student will also participate in UAS operations at Ames or at various field operating locations. | |
| 55 | Ames Research Center Moffett Field, California |
Trajectory design with AI techniques | Andres Dono Perez | The Flight Dynamics (FD) team at NASA Ames Research Center works on the area of astrodynamics during the whole development lifecycle of a spacecraft mission. From mission design to performing the navigation during flight, the team provides support to compute orbit parameters, design trajectories and perform orbit determination. The FD team is seeking an internship to develop more techniques in trajectory design optimization by using artificial intelligence (AI) algorithms. In particular, the team is interested in studying lunar trajectories and low thrust. The student would work on designing techniques and writing algorithms that can enable such analysis. The internship would consists of an initial trade study or research phase where various techniques, such as reinforcement learning, are explored. After an evaluation process, the second stage would be to write a code that can compute several of these trajectories in an optimized and fast manner, as compared to traditional propagation methods. The code or tool would be able to compute relevant parameters such as delta-V and duration for various initial assumptions and orbit ephemeris. The results of this code may be later utilized for the Mission Design Center (MDC) group at NASA Ames, that may involve the intern in the development of concept studies. |
Astrodynamics tools (STK, ODTK, GMAT) Python or MATLAB programming languages |
| 56 | Ames Research Center Moffett Field, California |
Detecting the Ultra-faint "Outer Limits" of Galaxies | Dr. Pamela Marcum | We are seeking interns to join our research team in support of ongoing projects related to image-processing of publicly-available Hubble Space Telescope archival data and to preparations for future observations by the soon-to-be-launched Roman Space Telescope. Through a funded grant, we are developing a new data pipeline that models and then removes various sources of background emission to reveal the diffuse, faint light in the outskirts of galaxies. This light is generally undetected in images that are processed by standard mission pipelines. The interns will have the opportunity to design their own "module" of this pipeline. The intern-developed module would specifically assist with predicting and then accounting for background contamination caused by Solar System objects that are in close proximity to telescope pointings. The interns will be provided computers for conducting their work. As members of our team, interns will be encouraged to engage in frequent communication and coordination with the other members and support our teamwork values. Our research team is multi-cultural and international, and prioritizes the fostering of an inclusive environment. | Candidates should have coding experience, and preferably have familiarity with python. Experience in working with astronomical image data would be helpful but not essential. |
| 57 | Ames Research Center Moffett Field, California |
Safety and Mission Assurance | Jessica Vos | Student will go through limited training as a Vehicle Systems Engineer (VSE) and then work alongside another VSE in the Safety and Mission Assurance area for the Orion spacecraft. The specific tasks will be tailored to match the student's education, skills, and development interests as well as US Government access control limitations. | Good verbal and written communication skills, critical thinking, engineering knowledge from education (and work, if possible), ability to get along with others. |
| 58 | Johnson Space Center | Space Nutritional Biochemistry | Scott Smith | The intern will work in the Nutritional Biochemistry lab at the Johnson Space Center. While there may be other projects ongoing in Fall 2025, it is expected that the intern will analyze samples from existing ground analog studies (e.g., bed rest) for markers of nutritional status. Development and validation of non-invasive methods to determine muscle mass could also be included. In addition, the intern will observe and potentially assist with other ongoing activities in the Lab. | Graduate Ph.D.; The incumbent should have experience with human subjects clinical research, including spaceflight analogs (e.g., bed rest), and biochemical laboratory techniques (including but not limited to stable isotope tracer techniques, analysis, ICP, ELISA, LCMSMS). |
| Note: Project numbers are retired when a project is no longer available | |||||
| NASA International Internship Project List Ames Research Center 2024-2025 | |||||
| Project # | NASA Center | Project Title | Mentor | Project Description | Requirements |
| 1 | Ames Research Center Moffett Field, California |
Shockwave Radiation Testing | Brett Cruden | The Electric Arc Shock Tube (EAST) Facility is NASA's only remaining shock tube capable of obtaining hyperorbital velocities (Mach 10-50, velocities up to ~15 km/s). The EAST data is the primary source of data for informing NASA's radiation modeling practices and associated uncertainties. The intern will participate in planning and conducting tests in the EAST facility, operating the diagnostics, performing calibrations, and analyzing data. The exact tests being performed in EAST will depend on the term of the intern's residency. Current plans for 2018 are to study radiation from expanding flows in the newly refurbished 20º expansion nozzle. | Experience with spectroscopic techniques and/or hypersonic testing facility, esp. shock tubes/tunnels desired. Graduate level (MS or PhD) strongly preferred. |
| 2 | Ames Research Center Moffett Field, California |
Robotic Sample Transfer Automation | Dr. Brian Glass | The Atacama Rover Astrobiology Drilling Studies (ARADS) project is a Science Mission Directorate-sponsored project led at NASA-Ames. ARADS proposes a Mars rover analog mission as a field test of an integrated rover-drill system with prototype life-detection instruments that are flight mission candidates. The essential elements to ARADS are: 1) use of integrated drill and rover at sites in the Atacama Desert in Chile in unprepared "regolith"; 2) field use of instruments with the rover/drill that are flight prototypes comparable to those planned for ExoMars and Icebreaker; 3) acquire drilled cuttings and transfer to instruments onboard the rover; 4) on-board autonomy and monitoring to support drilling; mission and demonstrate science support (operations and control) for the rover/drill/instrument operations. This intern project will address the third element above: automated sample transfer between a drill (on one side of the KREX2 rover) and instrument intakes (on the other side of the rover). The ARADS sample transfer arm is mounted on a KREX2 rocker, which rotates relative to the central platform on which both the drill and instruments are mounted. Hence, as the rover moves, the trajectory between the drill and instruments will rotate relative to the sample arm’s origin point. The arm is powered by servo motors which respond to pulse width modulation signals from the arm interface – two extra servo control channels support the testing of end effectors with up to two actuators. The intern will assist an existing ARADS staff member in developing a dynamic transformation for arm trajectories that will automatically compensate for rocker rotation and for vertical drill movements. This will be coded and tested with the actual arm, drill and rover mechanisms. |
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| 3 | Ames Research Center Moffett Field, California |
Rover-Instrument Automation and Data Integration | Dr. Brian Glass | The Atacama Rover Astrobiology Drilling Studies (ARADS) project is a Science Mission Directorate-sponsored project led at NASA-Ames. ARADS proposes a Mars rover analog mission as a field test of an integrated rover-drill system with prototype life-detection instruments that are flight mission candidates. The essential elements to ARADS are: 1) use of integrated drill and rover at sites in the Atacama Desert in Chile in unprepared "regolith"; 2) field use of instruments with the rover/drill that are flight prototypes comparable to those planned for ExoMars and Icebreaker; 3) acquire drilled cuttings and transfer to instruments onboard the rover; 4) on-board autonomy and monitoring to support drilling; mission and demonstrate science support (operations and control) for the rover/drill/instrument operations. This student project will address the fourth element above: integrated remote rover and instrument control in science operations. The current ARADS rover (KREX-2) hosts three instruments, plus a drill and robot arm. The drill and arm are already partially integrated and hosted on the rover CPU. The instruments are controlled and return their data to two auxiliary laptops strapped to the rover. These communicate by wifi and trunk network connections with instrument team members. Intern will assist ARADS developers in developing system operating procedures, drill and arm control software, drilling system diagnosis and executive controls. The student with work with both the KREX2 rover team and the instrument leads and existing ARADS team members (Thomas Stucky, Antoine Tardy) to define the internal interfaces for commands and data to be relayed from the rover. A “data suitcase” of instrument results and images will be defined and a mechanism developed with the rover team to capture the “suitcase” and then forward it intact to a remote science server for offline parallel analysis by the science team. Likewise, a command dictionary to each instrument will be defined. |
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| 4 | Ames Research Center Moffett Field, California |
Synthetic Biomaterials: A Multi-Scale Approach | Dr. Diana Gentry | A small group of interns with backgrounds in bioscience, materials chemistry and science, and bioengineering will, with the guidance of senior researchers, design and fabricate a proof-of-concept hybrid biomaterial using the interactions between living and non-living components to control the material structure. The material proof-of-concept will use existing genetic parts, such as binding domains, and established synthetic biology techniques, such as fusion protein design. The fabrication will be done using current techniques such as 3D CAD modeling, microscale gel deposition, and stereolithography. The exact implementation will be chosen jointly by the interns and mentors after a literature survey. The interns will learn about the history and current state of biomaterials, materials science, and synthetic biology, how to perform basic bioengineering techniques, and how to perform basic biomaterials analyses. They will gain real-world experience with literature searches, proposing and defending research implementations, hands-on bioengineering lab work (including synthetic biology, rapid prototyping, and fluidics), preparing documentation of research work, and statistics and data analysis. Interns will have a chance to present their research at a poster symposium and/or workshop. Depending on the breadth of work covered by the interns, participation in writing a published research paper is a possibility. |
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| 5 | Ames Research Center Moffett Field, California |
Genomics of Single Cell Mechanostransduction in Mouse Embryonic Stem Cells | Dr. Eduardo Almeida, Cassandra Juran | Forces generated by gravity have a profound impact on the behavior of cells in tissues and can affect the course of the cell cycle and differentiation fate of progenitors in mammalian tissues, potentially impacting the course of normal tissue regenerative health and disease. In this context, to enable Human space exploration, it is increasingly important to understand the gene expression patterns associated with regenerative health and disease as they relate to space travel in microgravity. Until recently changes in gene expression of stem cell progenitors exposed to spaceflight factors have been difficult to interpret, primarily because cellular responses are often not homogeneous in tissue populations, and may occur only in a subset of those cells. In stem cells in particular, “cell decisions” made in response to stimulation may include proliferative self-renewal, progression to differentiation, or entry into a state of replicative quiescence, however the gene expression programs associated with each are not readily knowable in a mixed cell population. Recent developments however now allow us to isolate and separately barcode mRNAs from thousands of single cells and to sequence their expressomes, opening a new field of “quantum genomics” in which regulatory gene networks and stimulus responses are studied and understood with greater clarity at the single cell level. In this project the fellow will specifically culture mouse embryonic stem cells and model gravity by either mechanostimulating them with axial stretch and compression, or not, as they initiate development in vitro, then conduct single cell isolation and barcoding of mRNAs using the 10XGenomics Chromium Controller, followed by reverse transcription into cDNAs and preparation of sequencing libraries for Illumina NGS or Oxford Nanopore long read sequencing. The fellow will also utilize bioinformatic tools including Cell Ranger, Loupe, and GeneSpring to analyze results and attempt to identify common patterns of gravity mechanoresponses in stem cells. If conducted successfully, this research may enable the development of novel tissue regenerative approaches to tissue degeneration such as that induced by spaceflight in microgravity. | |
| 6 | Ames Research Center Moffett Field, California |
The Influence of Mechanical Unloading on Biological Function | Dr. Eduardo Almeida, Cassandra Juran | The spaceflight environment, including microgravity and space radiation, is known to negatively impact mammalian physiology, including somatic stem cell-based tissue regeneration. The degenerative effects of spaceflight that we understand best include rapid microgravity-adaptive bone and muscle loss, loss of cardiovascular capacity, defects in wound and bone fracture healing and impaired immune function. These implications pose a significant risk for long-term human space exploration. Our work focuses on the influence of mechanical unloading on stem cell proliferation, differentiation and regeneration and how alterations in stem cell function may be the cause of widespread tissue degeneration in space. In this opportunity, the selected candidate will work with research scientists to analyze the response of mouse bone and bone marrow stem cells to mechanical unloading using both spaceflight samples and mouse hindlimb unloading experiments. The intern will investigate stem cell responses to microgravity and mechanical unloading using gene expression and protein analysis and furthermore, will investigate the influence of stem cell function on whole bone tissue properties - including structural and molecular analysis. Furthermore, the intern will also work with scientists on optimizing conditions for an upcoming spaceflight experiment where we aim to identify key molecular mechanisms that cause degenerative effects in bone tissue through impaired differentiation of mesenchymal stem cells. The intern will conduct cell culture and gene expression/protein assays to characterize wildtype stem cells compared to the transgenic model. The intern will then work with research scientists to determine the optimal cell culture parameters to conduct the experiment in spaceflight hardware. | Laboratory experience is preferred |
| 7 | Ames Research Center Moffett Field, California |
Machine learning classification of transit-like signals | Hamed Valizadegan | Kepler and TESS are critical missions to increase our understanding of how common earth-like planets (in habitable zone) are. These telescopes work based on transit photometry and their pipelines return a list of threshold crossing events (TCEs) whose light signature resemble a planet. However, not all TCEs are planet orbiting a star and they could be due instrument noise or other astrophysical phenomena. We have been exploring deep learning technology for automatic classification of TCEs and finding planets from non-TCEs. Using our in house tools, we have been able to identify new planets (subject to confirmation). We also have identified multiple ways to improve the existing classifiers and we are looking for interns who can explore these new ways. This internship opportunity is very rewarding because the result will lead to the discovery of new exo-planets. We will also publish the results in prestigious journals. This is a great opportunity to get some visibility. A potential interns needs to know how to program in python and write deep learning codes. The intern is expected to help us developing parts of this project in Python. Tools we use for this project are scikit-learn and Keras (and TensorFlow). Specific Tasks and Responsibilities: Python Coding, Research on appropriate deep learning architectures for time series classification |
AI General knowledge, Bachelor (Masters or PhD is preferred). Python programming |
| 8 | Ames Research Center Moffett Field, California |
Deep Learning Binarization of Vascular images | Hamed Valizadegan | The Space Bioscience Research Branch (SCR) of NASA Ames has developed VESGEN, a software package for analyses and study of vascular images. A bottleneck in efficient application of VESGEN is the fact that it needs binary images as input in order to analyze the vascular images and provides insight about them. Currently, a VESGEN user needs to semi-manually binarize a vascular image using CAD software packages such as Adobe Photoshop before giving the image as input to VESGEN for analysis. Binarization aims to categorize the pixels of a vascular image into two categories, foreground or Vessel pixels and background pixels. We are investigating deep learning technologies to automate the binarization of vascular image. Our results with deep learning have been very encouraging and we are looking to hire an intern to help us further improve the existing technology! Specific Tasks and Responsibilities: Python Coding, Research on appropriate deep learning architectures for image segmentation |
AI General knowledge. Bachelor (Masters or PhD is preferred). Python programming |
| 9 | Ames Research Center Moffett Field, California |
Image analysis software based on neural nets and “deep learning” | James Bell | Image analysis software based on neural nets and “deep learning” has been successfully used to find and classify objects in images. This project investigates whether such software can be used to determine the orientation of an object. For example, it is commonly claimed that image recognition software can use deep learning to recognize the presence of some feature, such as a cat, in an image or video. (http://www.nec.com/en/global/ad/insite/article/bigdata07.html ) This is done by providing the software with a large training set of images in which a particular feature has been identified, and allowing the software to learn to recognize that feature in new images. The idea of this project is that if such software is trained with images of a wind tunnel model at different orientations, along with independent information about orientation of the model in each image, the software will be able to recognize the orientation of the model in new images. Currently, wind tunnel model orientation is found with a combination of onboard accelerometers to detect orientation with respect to the gravity vector, and encoders on the model support to detect rotations around the gravity vector (yaw). These methods are less accurate when the principle motion of the model is in yaw (eg wings-vertical orientation of the model in the wind tunnel) or the model is too small to accommodate an accelerometer package. Conventional photogrammetry can be used to measure model orientation but requires time-consuming setup and calibration, and is vulnerable to changes in illumination. The project would consist of three parts: 1) Set up a simple test apparatus consisting of a rigid body resembling a wind tunnel model, a multi-axis accelerometer, and a yaw meter, on a multi-axis rotation stage. Set up a camera to view the model. Take images at a variety of model orientations while recording the orientation measurements. 2) Feed the images and orientation data into open source deep learning software such as Keras. 3) Compare the accuracy of the resulting software against conventional sensors for determining model orientation. |
Computer science with a focus on data science/neural nets. Aerospace engineering with a strong background in software would also be acceptable. |
| 10 | Ames Research Center Moffett Field, California |
Biosensor Development | Dr. Jessica Koehne | Development of biosensors is an active field due to a wide range of applications in lab-on-a-chip, diagnostics of infectious diseases, cancer diagnostics, environment monitoring, biodetection and others. One of the strategies used for selective identification of a target is to /preselect/ a probe that has a unique affinity for the target or can uniquely interact or hybridize with the target: sort of a "lock and key" approach. In this approach, one then needs a platform to support the probe and a recognizing element that can recognize the said interaction between the probe and the target. The interaction result can manifest optically (by using dyes, quantum dots for example) or electrically. The platform design and configuration may vary depending on whether optical or electrical readout is used and what environment the sensor will be utilized. Recently, printed biosensors on paper substrates have gained much attention for their low cost of manufacture. Within NASA, such printed devices are being investigated because of our potential ability to manufacture in an in-space environment. Such a biosensor would be a print-on-demand device. The current project involves fabricating and validating a printed, electrical biosensor for cardiac health monitoring from a whole blood sample. The intended NASA application is point of care diagnostics for astronaut health monitoring. | |
| 11 | Ames Research Center Moffett Field, California |
Microbial Factories for Solar System Exploration | Dr. John Hogan | Long duration missions to distant bodies within our solar system will require significant resources to support astronauts. Microbial factories could help produce mission relevant products during such missions using in situ resources such as carbon dioxide and water. In terrestrial systems, microbial factories are already being used to produce a wide variety of materials, fuels, nutrients, and medicines. Typically, these microbial systems use high-energy carbon substrates such as sugars. In the extremes of space, however, obtaining sugar-like compounds will prove to be problematic, thus alternative low-energy carbon compounds may need to be employed. The main objective of this project is to evaluate the potential combination of substrates, microorganisms, and products in understanding how a microbial production system will function in the constraints of relevant space missions. The work entails performing microbiological studies and conducting an analysis to determine effective solutions for in-space microbial production systems. | |
| 12 | Ames Research Center Moffett Field, California |
NASA Ames Astrobee Facility | Mr. Jose Benavides | NASA Ames Astrobee Facility Brief description of duties: The successful applicant would be involved with software development and general support of the NASA Ames Astrobee Facility. (www.nasa.gov/astrobee) Specifically, the successful applicant would initially be validating and developing C++ and Java software for a Astrobee. Additional work may include ISS flight quality hardware and maintaining Astrobee Facility labs. The applicant should be familiar with C++ and Java software development and good coding practices. In general, we are looking for someone who is motivated, a self-starter, and capable of working independently on tasks. Other beneficial experience may include; - MATLAB, C/C++, Java, Python, Android Apps, and Linux scripting, Computer Networking - Spacecraft, Small Satellites, CubeSat's - Avionics, Embedded Hardware & Software - Software testing - experience building space flight hardware - Good writing and communications skills, along with the ability to work well both individually and within a multidisciplinary team. | C++ and Java; Good writing and communications skills, along with the ability to work well both individually and within a multidisciplinary team. Other beneficial experience may include: MATLAB, C/C++, Java, Python, Android Apps, and Linux scripting, Computer Networking - Spacecraft, Small Satellites, CubeSat's - Avionics, Embedded Hardware & Software - Software testing - experience building space flight hardware |
| 13 | Ames Research Center Moffett Field, California |
Space Structure Assembly Robotics - The Automated Reconfigurable Mission Adaptive Digital Assembly System (ARMADAS) Project | Dr. Kenny Cheung | The Coded Structures Laboratory at NASA Ames Research Center conducts research across material science, robotics, and algorithms, for application to aeronautics and space systems. The lab's current primary project is titled Automated Reconfigurable Mission Adaptive Digital Assembly System (ARMADAS), and it incorporates a building-block based approach to automated assembly of ultralight lattice-based structures for space infrastructure. Expected activities for this position can be both theoretical and experimental in nature. Advanced research using multidisciplinary analyses seeks to understand the mechanics of new mechatronic and structural strategies and to develop predictive analytical models for the design of systems with novel behavior. Experimental work seeks to obtain accurate data to validate these analyses. * Expected opportunity outcome (i.e. research, final report, poster presentation, etc.): At the conclusion of the internship, the intern will prepare a final report and either make a final presentation or participate in a poster day. The results of the research, if appropriate, can be considered for abstract submittal to a conference in the appropriate subject area for publication. Graduate students may consider more focused investigations leading to preparation of a technical journal article. |
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| 15 | Ames Research Center Moffett Field, California |
Hybrid Rocket Modeling and Experiments | Dr.Laura Simurda | This internship will have two primary focuses. The first will be using ANSYS Fluent to model a small-scale hybrid rocket motor that will be used in upcoming experiments. This problem is challenging as it involves using deforming meshes to model the regression of the solid fuel grain over time and the continued combustion as oxidizer is added. It should be noted that the only part of the motor that is ITAR restricted is the rocket injector. This part will not be modeled by the student and the student will not have access to any designs or models including the injector. The second will be aiding in physical experiments. This may include completing tests using an oxyacetylene torch with an optical setup to prove that the sodium line reversal technique works or helping to setup and run small-scale rocket motor tests. Again, the only component in these tests that is ITAR restricted is the injector and the student will not have access to this part. |
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| 16 | Ames Research Center Moffett Field, California |
Orbit Analysis for LEO CubeSats and Low Lunar Orbits | Marcus Murbach | The intern will fulfill assignments as a member of the orbital dynamics team in the Mission Design Division at NASA Ames Research Center. The Mission Design Division conducts early-stage concept development and technology maturation supporting the Center's space and aircraft mission proposals. Personnel have experience in mission planning, small spacecraft design, and engineering analysis. The Mission Design Division, or MDD, supports the full mission life cycle in the areas of: • Early Concept Development • Mission Design • Rapid Prototyping • Mission Implementation The candidate will work closely with flight dynamics engineers to expand existing innovative approaches to low altitude orbit design. This work includes the effects of differential drag in Low Earth Orbit (LEO), as well as, the effects of mascon perturbations in low lunar orbits. SmallSat and CubeSat missions are a specialty of Ames Research Center and current research addresses practical issues with small spacecraft missions in a LEO and an interplanetary environment. Another orbital mechanics specialty of ARC is low, equatorial lunar orbits and design tools for addressing lunar gravitational perturbations. For lunar orbits, we plan to expand the research on equatorial frozen orbits and the visualization displays for characterizing gravitational perturbations. For LEO, the characterization of the effects of drag in relative satellite disposition is in the scope of this position. The goals of this assignment include documentation and display tools that will reside as part of the Mission Design Division’s computational capability. Additional assignments as needed may involve CubeSat low thrust trajectory design, multiple CubeSat swarms, and CubeSat reentry calculations. |
Candidate’s Computer and/or special skills: GMAT or STK/Astrogator, Matlab or Visual Basic. Strong writing skills are expected, both for internal documentation of work accomplished and for publications resulting from this work. |
| 17 | Ames Research Center Moffett Field, California |
Astrobee Robot Software | Marion Smith/ Brian Coltin | The Astrobee robot will launch to the International Space Station in May 2018. It will fly freely and autonomously throughout the space station, where it will assist astronauts, provide a mobile telepresence platform for ground controllers, and be used as a research platform for a variety of experiments. See https://www.nasa.gov/astrobee for more information. Students of all levels are encouraged to apply to join the Astrobee Flight Software Team. Experience with C++, Linux, and git is preferred. The internship project will depend both on need and the student's interests. Ideally, the project will result in a research publication. Past student projects have included diverse topics such as path planning, obstacle mapping, depth camera calibration, simulator development, sensing and filtering, fault recovery, video streaming, mapping under changing light levels, and more. | Students of all levels are encouraged to apply to join the Astrobee Flight Software Team. Experience with C++, Linux, and git is preferred. The internship project will depend both on need and the student's interests. Ideally, the project will result in a research publication. Past student projects have included diverse topics such as path planning, obstacle mapping, depth camera calibration, simulator development, sensing and filtering, fault recovery, video streaming, mapping under changing light levels, and more. |
| 18 | Ames Research Center Moffett Field, California |
Analyzing satellite and drone imagery from the Atacama Desert, a Mars analog environment in Chile | Dr. Mary Beth Wilhelm Dr. Kim Warren-Rhodes (SETI) |
The project goal is to understand the impact of an extreme and rare rainfall event on the modification of soil and unltimately on the generation and preservation of molecular biosignatures from the largely inactive microbial community in the driest soils in the Atacama Desert, Chile. This work has implications for predicting if rapid shifts in water availability could impact a putative microbial population sufficiently to generate measurable biomarkers in modern Martian near-surface environments (e.g. RSL, gullies, northern plains ice-cemented soil), and inform where future missions should search for biomarkers that could have been preferentially preserved. More specifically, we would like to have a student (1) analyze nano-climate sensor data from hyperarid Atacama soils and map data onto regional gravimetric moisture data; (2) integrate and analyze historical satellite data, drone, and field imagery to understand the extant, patterns, and history of the water regime in the driest parts of the Atacama Desert; and (3) develop a fluvial map and construct a simple model of water transport and accumulation across surfaces and infiltration into the soil column at different spatial scales. | |
| 19 | Ames Research Center Moffett Field, California |
Experimental Visualization of Shock Structure in a Miniature Arc Jet | Dr. Megan Macdonald/ Mark McGlaughlin | The Thermophysics Facilities Branch has recently upgraded its 30 kW miniature arc jet (mARC II). These upgrades have resulted in a high-speed, high-temperature jet with a new shock structure. The intern will be integral in implementing and analyzing experimental diagnostics aimed at characterizing the flow physics and operational health of the upgraded facility. This may include visualization of the shock structure within the jet, measurements of the magnetic field around the arc heater, spectroscopic studies of the plasma within the column, and both standard and non-intrusive methods of measuring jet quantities such as heat flux, stagnation pressure, or electron density. The intern will work closely with the team that operates and maintains the mARC. Student will give a final presentation and compile a final report documenting the work completed at ARC. If the results support it, the work will be considered for submission to a conference or journal publication. |
Student should be a graduate student with a solid background in aerospace or mechanical engineering and familiarity with fluid flow, optical diagnostics, and experimental research. The student should be able to work as part of a team. Pursuing Masters Pursuing Doctorate Pursuing Post Doctorate Engineering - Aerospace Eng. Engineering - General Engineering - Instrumentation Eng. Engineering - Materials Eng. Engineering - Mechanical Eng. Engineering - Optical Eng. |
| 21 | Ames Research Center Moffett Field, California |
Novel Planetary Robotic Sensor Development | Michael Dille | Long-term wide-area measurement of dynamic environmental surface-level phenomena in hard-to-reach areas is of growing interest for atmospheric research in both planetary exploration and Earth science contexts. These may include flows or variations in moisture, gas composition or concentration, particulate density, or even simply temperature. Improved knowledge of these processes delivers a deeper understanding of exotic geologies and distributions or correlating indicators of trapped water or biological activity. However, such measurements must frequently be taken in unsafe areas such as caves, lava tubes, or steep ravines where neither human field teams nor robotic vehicles can easily reach. To provide such a capability, we have developed small expendable sensors which may be hand-placed, lobbed from a robotic vehicle, or dropped from aircraft. Deployed sensors form a mesh network, communicating wirelessly during flight and once anchored, to provide radio or optical beacons and monitoring using cameras, environmental sensors, and miniature chemical detectors. We seek students interested in refining the existing prototype system, developing new sensor payloads, and evaluating new deployment mechanisms. |
The ideal intern is a well-rounded student with interest in sensing instrument development. Depending on area of interest, relevant skills include electronics, mechanical design, embedded software development, RF, or optics. Opportunities in sensor data visualization and prediction of dynamic phenomena are also open. Project Area of Research: Sensors, embedded systems, electronics, mechanisms, RF, data visualization |
| 22 | Ames Research Center Moffett Field, California |
Advanced Life Support | Michael Flynn | Innovation a required skill. Our group focuses on training the next generation of NASA scientists on how to innovate and to develop the next generation of water recycling space flight systems that will enable the human exploration and colonization of the Solar System. Advanced life support systems include all systems and technologies required to keep astronauts alive in space: water recycling, air recycling and waste treatment. This Internship is primarily focused on water recycling but is cognizant that an optimized system will include integration with air and waste systems. Our research areas include: • Systems that can recover energy from waste. • In situ resource utilization in spacecraft and on planetary surfaces. • Application of space flight systems technologies to sustainable terrestrial development. The ideal candidate is an undergraduate or graduate student in the fields of: Engineering (Chemical, Environmental, Electrical, Industrial, Civil, Computer), Mathematics, Chemistry, Biology, Physics, and Environmental Science The participant must be a team player and comfortable working with professionals of different cultural and scientific background. At the end of the internship the participant will be required to submit a white paper. |
The ideal candidate is an undergraduate or graduate student in the fields of: Engineering (Chemical, Environmental, Electrical, Industrial, Civil, Computer), Mathematics, Chemistry, Biology, Physics, and Environmental Science The participant must be a team player and comfortable working with professionals of different cultural and scientific background. At the end of the internship the participant will be required to submit a white paper. |
| 23 | Ames Research Center Moffett Field, California |
Control Internship Position | Nhan Nguyen | Advances in material technologies have led to a new class of ultra-efficient transport aircraft that incorporate advanced high-aspect ratio flexible wing designs with novel control effectors. The NASA Performance Adaptive Aeroelastic Wing (PAAW) research element under the NASA Advanced Air Transport Technology (AATT) project seeks to develop control technologies and analysis capabilities to enable the implementation of these advanced future wing designs. Development of control systems for highly flexible wings is a critical component of this relevant and challenging field. This internship opportunity will support the NASA research team in developing disturbance estimation techniques for use in both adaptive and non-adaptive control designs for gust load alleviation. The intern will also help formulate design requirements for future hardware that facilitate successful estimation and control. Specific applications for the techniques developed include flight control, wing shaping, and load alleviation of flexible wing aircraft. Final deliverables for this internship include any research results such as report, presentation, or conference publication as well as simulations demonstrating operation of the disturbance observer in use with the control system. |
The intern should have theoretical and practical knowledge of control and estimation including adaptive control, as well as extensive experience simulating dynamic models within MATLAB/Simulink. |
| 24 | Ames Research Center Moffett Field, California |
Experimental Aero-Physics Engineering Intern | Rabi Mehta | The intern will help with a variety of experimental projects which investigate the fluid mechanic, aerodynamic, and/or aeroacoustic characteristics of manned and unmanned spacecraft, aircraft, rotorcraft, ground vehicles, ships, structures, sports balls, and other objects. The experimental projects will be conducted in conjunction with on-site research mentors, using NASA Ames wind tunnel, water channel, lab, and/or computer facilities. The intern will assist with many different phases of one or more test programs; these phases may include prior data review and test planning, test logistics, experimental design and setup, model construction and installation, instrumentation calibration, installation, and operation, test video/photo documentation, post-test data plotting and analysis, and report development. The intern may also assist with the development and execution of various computer programs used to analyze or simulate the results of experimental test programs. The main outcome of this internship will be experience with a variety of disciplines related to fluid mechanics, aerodynamics, and/or aeroacoustics. | Physics, Science, Math, Engineering backgrounds preferred |
| 25 | Ames Research Center Moffett Field, California |
Scott Murman | This project develops new methods for high-order finite-element schemes. Work involves all aspects of the simulation pipeline, from mesh generation, to flow visualization. Tasks are part of the eddy framework, and coordinated with other members of the eddy development group. The eddy solver is a novel code suite for scale-resolving simulations developed at NASA as part of the CFD Vision 2030 study. eddy is a public-domain software project, so there are no restrictions on access. Applications span many domains, from turbomachinery, to parachute fluid-structure interaction, to hypersonics. Software environments include c/c++, python, parallel processing, and GPU. |
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| 26 | Ames Research Center Moffett Field, California |
Lunar Topographic Products from Orbital Images | Ross Beyer | Digital terrain models are essential for cartography, science analysis, mission planning and operations. The NASA Ames Intelligent Robotics Group (IRG) has developed software to automatically generate high-quality topographic and albedo models from satellite images. Our software, the Ames Stereo Pipeline (ASP), uses stereo vision and photoclinometric techniques to produce 3D models of the Earth, Moon, and Mars with very high accuracy and resolution. The intern will assist IRG to improve the quality of topographic products from lunar orbital images. In particular, the intern will help develop multi-stage stereogrammetric methods to exploit the full potential of multiple, overlapping views of a planetary surface. The intern will work closely with NASA researchers and engineers throughout the internship. Very strong emphasis is placed on incorporating and integrating the intern's research into IRG's on-going projects. Research results may be published in one (or more) technical forums: as a NASA technical report, a conference paper, or journal article. | The intern must have a background in Computer Science or Mathematics. Practical experience with computer programming, Linux-based software development and open-source tools (gcc, git, etc) is required. Experience with C++ is strongly encouraged. |
| 28 | Ames Research Center Moffett Field, California |
Evaluation of Biomedical Devices for Exploration Missions | Tianna Shaw | The primary responsibility for this intern position is to support the development and testing of biosensor monitoring systems in support of the Human Research Program (HRP) Exploration Medical Capability (ExMC) Element. The Ames Research Center (ARC) team focuses on the integration of biomedical devices into a prototype medical data architecture (MDA), that will receive, store and display a wide variety of physiological parameters which include; electrocardiogram (ECG), heart rate, blood pressure, pulse oximetry, respiratory rate, and body temperature. The intern will work under the guidance of an ExMC project engineer and will also work with ExMC project system engineer. The intern will support human in the loop laboratory testing of biomedical devices and development of the medical data architecture system. The intern will also participate in data collection, processing and analysis of biosensor data and assist in report writing. He/She will support MDA operations in collaboration with CSA prototype wearable biosensor system and other systems. | |
| 29 | Ames Research Center Moffett Field, California |
Erosional Studies of Mars and Earth Using Digital Terrain Models | Dr. Virginia Gulick | Fluvial and hydrothermal studies using HiRISE images and Digital (Terrain) Elevation Models, combined with CTX, HRSC, CRISM, and other Mars or terrestrial data sets. These studies are focused mainly on the formation of gullies, channels, valleys and other fluvial landforms on Mars and Earth. Terrestrial analog sites or hydrologic or landform models will be used to illuminate the importance of various processes as well as understanding the implications for paleoclimatic change. Additional opportunities may also be available in assisting with HiRISE science planning and targeting support, submitting image requests, and analysing acquired image data. Geology, geography, or planetary science background is desired. | Experience working with ENVI, Matlab, Photoshop, USGS Integrated Software for Imagers and Spectrometers (ISIS), Geographic Information Systems GIS (e.g., ArcGIS, GRASS), SOCET SET, Ames Stereo Pipeline, and Python programming is helpful. Excellent communication and writing skills are desired. Enjoys working both individually and in teams, with creativity, positive energy, and determination. |
| 30 | Ames Research Center Moffett Field, California |
Rotorcraft Aeromechanics | Dr. William Warmbrodt, Branch Chief | The Aeromechanics Branch has numerous intern projects for aeromechanics technology solutions that will enable the development of vertical flight vehicles, both piloted and uninhabited, providing unlimited mobility in three dimensions for terrestrial and planetary science applications. Innovative and revolutionary ideas for vertical-flight vehicle technologies are developed, enhanced, analyzed, demonstrated, and assessed using advanced modeling, ground-based facilities, simulation, and flight as appropriate. Intern projects address all aspects of vertical lift aircraft and operations which directly influence the vehicle's performance, structural, and dynamic response, external acoustics, vibration, and aeroelastic stability. The span of research projects include civilian transport rotorcraft (helicopters, tilt rotors, and advance designs), urban air mobility personal air taxis, and unmanned aerial vehicle (UAV) platforms, including quadcopters and other advanced, small remotely piloted or autonomous vertical takeoff and landing (VTOL) aircraft, and planetary science vertical lift aircraft such as the Mars Helicopter. The programs are both theoretical and experimental in nature. Advanced computational methodology research using computational fluid dynamics and multidisciplinary comprehensive analyses seek to understand the complete aerial vehicle's operating environment and to develop analytical models to predict aerodynamic, aeroacoustic, and dynamic behavior. Experimental research seeks to obtain accurate data to validate these analyses, investigate phenomena currently beyond predictive capability, and to achieve rapid solutions to flight vehicle problems. Interdisciplinary technology projects for vertical flight vehicles span all aspects of atmospheric flight from vehicle synthesis, conceptual design, aerodynamic and dynamic verification, flight control, handling qualities and human integration (crewed and uncrewed platforms), ride quality investigations, and planetary science mission development. Specific attention is given to identifying and pursuing novel vertical flight vehicle concepts and technologies for emerging urban air mobility markets and planetary exploration. | Broad background in science and math classes typical of an upper division undergraduate/graduate in mechanical, aeronautical, aerospace, electrical engineering, and computer science. Knowledge of MatLab, CAD, Simulink, CREO ProE/SolidWorks/AutoCad, VSP, Rhino, C++, python, or other programming/software languages is desired, but not mandatory. |
| 31 | Ames Research Center Moffett Field, California |
Deep Learning for Satellite Imagery (DELTA) | Brian Coltin | NASA Ames is partnering with the USGS and NGA to develop DELTA, an open source toolkit for deep learning on satellite imagery. DELTA will empower Earth scientists to achieve state of the art classification results with little to no knowledge of machine learning or computer programming. Initially, DELTA will be trained and evaluated on mapping floods for disaster response and recovery. Potential later uses include studying other natural disasters, changing land use patterns, climate change, and more. Specific Tasks and Responsibilities: The intern will contribute a feature to the DELTA toolkit which will ideally result in a research publication. Potential projects include: incorporating various metadata into the learning algorithm; experimenting with new neural network architectures or training methods; incorporating multi-satellite sensor fusion; and more, depending on student interest. |
Experience with C++ and/or Python, Linux development, and machine learning are preferred. |
| 33 | Ames Research Center Moffett Field, California |
Thermal Mapping for River Measurement from a UAV | Uland Wong, Michael Dille | The Intelligent Robotics Group at Ames is designing a tightly-integrated UAV payload containing thermal and visible-light cameras to estimate flow rates in streams and rivers using novel optical techniques. In addition to cameras, onboard computing will perform real-time processing to provide live data streaming and vehicle path planning to deliver a complete survey across the water surface. The purpose of this payload is to automate and supplement a sparse and strained network of so-called stream gaging stations that provide the input dataset for US watershed monitoring. This data is critical to track water supplies, predict flood risks, preserve aquatic systems, and respond to natural disasters. This project is collaborative work with the United States Geological Survey (USGS) and presents a chance to engage in cross-cutting research and meet with a variety of scientists. | Interns should be familiar with Robot Operating System (ROS) and capable of developing functionality for a ROS system using C++ or Python programming. Familiarity with camera sensors and image processing (such as with OpenCV) is also desired. Skills for mechanism design (e.g. CAD), payload integration (e.g. electrical or shop skills), and testing are a plus. |
| 34 | Ames Research Center Moffett Field, California |
3D Microscopy and Novel Optical Sensing for Planetary Exploration | Michael Dille | We have recently developed a new type of miniaturized 3D microscope that uses just a single optical path (a single camera) and a solid-state means of controlling a moving aperture that allows imaging from multiple viewpoints. In conjunction with carefully controlled multi-directional illumination, this multi-view stereo imagery permits extraordinarily high fidelity 3D reconstruction at microscopic scale. This has incredible value in planetary exploration and terrestrial field applications to study surface composition and geometry, generating immersive graphical displays, detecting faint bio-signatures, and analyzing soil structure. Results with the device so far have been excellent, and we now seek to mature the design in either of two ways. First, we wish to further miniaturize and ruggedize the device, produce a compact fully self-contained version, and demonstrate its value for micro-rover or remote sensor pod applications. This includes work in optics design, CAD, and electronics. Second, we want to better characterize its performance under different conditions, extend and refine the 3D reconstruction algorithms, and implement new algorithmic techniques for material segmentation and bulk material property computation using reflectance modeling. This portion is primarily a software-side computer vision problem. We have unique access to a large array of planetary soil simulants to provide an immediately relevant dataset and a strong interest in publishing results in both the machine vision / optics and planetary applications communities. |
Some combination of experience is needed with theoretical optics design and/or optical design software such as Zemax, image processing concepts and algorithms, and 3D reconstruction algorithms. Reasonable programming experience is expected to support the task (e.g. matlab, python, or C++). For the interested student, this could provide an excellent senior project, a substantial portion of a Master's thesis, or an interesting direction and application for PhD thesis work in a related area. Project Area of Research: Microscopy, computer vision, optics, sensors, planetary science |
| 35 | Ames Research Center Moffett Field, California |
Novel Media Visualization | Michael Dille | Robotic planetary exploration is rapidly moving beyond simply taking pictures and detecting basic chemicals, instead now providing ever-larger bodies of data. At the small scale, advanced detectors and imagers now capture fine details of the structure of rocks, soils, dust, while at the larger scale seismographs and climate-scale weather monitoring offer insight into complex wide-area geology and atmospheric processes. The sheer volume of this data and the translation of raw numerical values into representations intuitive for human scientists create great difficulty. Presenting such data to the public in interesting, easily-understood ways is an even greater challenge. Recently developed forms of media including immersive virtual or augmented reality, multi-material 3D printing, and holographic displays offer new and powerful means to meet these challenges by expressing raw and derived data for clear and rapid interpretation. They also provide promise for enabling physically disabled individuals to experience and appreciate environments they could not otherwise reach. We invite a student interested in any or all of these technologies to explore with us such presentation concepts, to produce interactive graphic displays and/or 3D printed artifacts from remotely collected data. We can provide the student with access to our existing array of 3D printers, a rare and extensive collection of planetary soil simulants, low cost 3D displays, and some of the leading experts in planetary robotic sensing and geology. |
Some combination of experience in computer vision, computer graphics, display technologies, programming, human-computer interaction, or media arts is needed. Given the complex and high open-ended nature of this work, self-directed senior level students with strong algorithmic and linear algebra backgrounds are suggested. Project Area of Research: Data visualization, computer graphics, media arts, planetary science |
| 36 | Ames Research Center Moffett Field, California |
Mini Hyperspectral Camera for Planetary Surface Study | Michael Dille | Determining material composition or biological presence is an important task in remote robotic planetary missions and Earth science field studies. Point spectrometers and filter imagers are popular instruments to collect such data, however they are often bulky devices that provide either poor spatial or spectral resolution. Future mission concepts demand small, inexpensive, and rugged sensors that can be applied to micro-rovers, small unmanned aircraft, and distributed mesh networks. The Intelligent Robotics Group at NASA Ames has developed a concept for a focal plane imager (camera) built upon Micro Electro Mechanical (MEMS) and Liquid Crystal Display (LCD) technologies that is effectively solid state but can produce multi-spectral images in a small device. Crucially, using concepts of compressive sensing theory, the effective resolution of the image can be varied with the number of samples taken, allowing a trade-off between sampling time, desired data quality, computational demand, and data volume. We now seek to build, characterize, and demonstrate a bench prototype of this camera and explore directions for further ruggedization, miniaturization, and increased science applicability. |
Relevant research interest as a master's/PhD thesis or mature undergraduate thesis. Mainly, some combination of specific experience optics design theory and/or optical design software such as Zemax, and image processing in software. Electronics and/or mechanical experience would be helpful. Project Area of Research: Computer vision, optics, sensors, planetary exploration |
| 38 | Ames Research Center Moffett Field, California |
Automated Planning for in-Vehicle Robotics | Jeremy Frank | In-vehicle robotics are robots that operate inside large spacecraft such as the International Space Station and future vehicles such as the Gatway. For example, the Astrobee robot will launch to the International Space Station in May 2018. It will fly freely and autonomously throughout the space station, where it will assist astronauts, provide a mobile telepresence platform for ground controllers, and be used as a research platform for a variety of experiments. The internship project will be to conduct research and development of automated planning for such robots. The intern will work with ROSPlan, the automated planning technology plugin to the Robotic Operating System (ROS). The intern will develop enhancements to ROSPlan to perform robust planning and replanning in the presence of unexpected events, uncertain activity duration, and possibly faults. The intern will use robotics simulators written in Gazebo to evaluate different enhancements. The intern may also require familiarity with other technologies such as FlexBE (to implement lower level robot behaviors). The intern should have a good working knowledge of artificial intelligence planning techniques, have good software development skills, and be interested in research in the applications of AI technology to robotics. | |
| 42 | Ames Research Center Moffett Field, California |
Remote Sensing | Dr. Charles Gatebe, Branch Chief | NASA's Cloud Absorption Radiometer (CAR) measurements of the bidirectional reflectance-distribution function (BRDF) are unique and encompasses various natural surfaces that are representative of many land cover or ecosystem types found throughout the world. These observations are now becoming increasingly important when evaluating higher spatial resolution satellite products over different surfaces such as ocean, vegetation, snow, desert, wetlands, cloud decks, and smoke layers. In this project, we will process all the BRDF cases from the recent airborne campaign known as the Student Airborne Science Activation (SaSa) field campaign and make it publicly available and accessible for student research projects at: https://www-air.larc.nasa.gov/missions/sasa/index.html. | Experience with programming in Python and ENVI. |
| 43 | Ames Research Center Moffett Field, California |
Studying Chemical Inventory around Newly Forming Stars using SOFIA Infrared Observations | Dr. Naseem Rangwala, Branch Chief | The intern will work on the SOFIA observations of hot molecular cores to determine its chemical composition and to understand it astrochemistry. The intern will assist in analyzing a large set of high-resolution mid-infrared spectra of these astronomical objects by identifying the line frequencies, line widths and line peaks. They will use the experimental and theoretical catalogues for identifying the molecular species in these spectra. They will assist in developing tools to fit the spectral lines and use them to determine the chemical abundances of molecular species in these astronomical targets. They will compare these abundances to astrochemical models to investigate the chemistry in the regions surrounding these targets and how this chemistry is influenced by the local physical conditions. | |
| 44 | Ames Research Center Moffett Field, California |
Dr. William Warmbrodt, Branch Chief | Urban air taxi operations, also known as urban air mobility or on demand mobility applications, are enabled by vertical take-off and landing (VTOL) capability. Power and energy requirements are minimized by using low disk-loading rotors. Short range requirements permit consideration of non-traditional propulsion concepts. The community of innovation has recognized that technology advances in structures, automation and control, energy generation-storage-utilization, and tools for design and analysis, coupled with pressures of resource availability and population density, make this the right time to explore new ways to move people and goods. The objective of the on-going NASA research program is to identify concept vehicles that can be used to focus and guide NASA research activities in support of aircraft development for emerging aviation markets, in particular VTOL air taxi operations. To meet this objective, the designs are carried far enough to identify crucial technologies and research requirements, to explore a range of aircraft types, propulsion system types, and size, and to examine sensitivities to trades of requirements. While identifying relevant issues and major technical deficiencies is important, resolving all questions is not necessary, and component weight estimates and performance models can be the subject of future work. With this approach, the specific design choices made are not important, as long as primary and relevant research requirements are covered. Indeed, to these ends it is best that NASA concept vehicles be different in appearance and design detail from prominent industry arrangements. Recently two new NASA reference vehicles were investigated. Both aircraft are configured as conventional tiltrotors, but one is powered by turboshaft engines, and one is fully electric. The sizing and performance of the two aircraft are discussed, as well as how the performance and characteristics compare to a selection of other NASA reference vehicles. It is found that the tiltrotor configuration is capable of reaching speeds 43% to 51% faster than the other turboshaft designs, and 54% to 93% faster than the other electric designs. The proposed research is to further investigate the benefits and disadvantages of these NASA tiltrotor concept aircraft for UAM operations where performance and noise are critical operational aspects for successful usage in urban air taxi operations. NASA has developed a Conceptual Design Toolchain for predicting noise levels during UAM operation (Fig. 1). These tools will be exercised to refine the two UAM tiltrotor designs and assess the performance and noise characteristics of these aircraft in UAM operations and the sensitivity. The NASA Design and Analysis of Rotorcraft will be used to refine the concept vehicle designs to the specific UAM missions. The CAMRAD II rotorcraft comprehensive analysis tool will be used for defining vehicle trim, performance, dynamics, and airloads. AARON/ANOPP2 will then be used to calculate the radiated far field acoustics during UAM air taxi operations. A final report will be written summarizing all the findings of this study. Figure 1. NASA UAM Conceptual Design Toolchain |
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| 49 | Ames Research Center Moffett Field, California |
Small Satellite Requirements Matrix | Dr. Craig Burkhard (Civil Servant) | The State-of-the-Art of Small Spacecraft Technology Report, a publicly available collection on small satellite subsystems in: Integrated Spacecraft Platforms; Power; In-Space Propulsion; Guidance, Navigation and Control; Structures, Materials and Mechanisms; Thermal Control; Small Spacecraft Avionics; Communications; Integration, Launch and Deployment; Ground Data Systems and Mission Operations; Identification and Tracking; and Deorbit Systems. The student will devise a new web module for the report web app to utilize the subsystems information within the report, defining components matching users input requirements. The intern will develop a small satellite requirements matrix template for users to define requirement parameters for unique small satellite specifications and to search the information within the report to provide a list of recommended subsystem components to the user. The intern will lead the effort but collaborate and work with others on the team. The intern will gain knowledge of small satellite systems engineering processes, various components of designing a small spacecraft and web development coding platforms and applications. | |
| 50 | Ames Research Center Moffett Field, California |
Aerothermodynamics at Ames Entry Systems and Technology Division | Mr. Jeff Hill, Branch Chief | Interns on this project will use advanced modeling and simulation of highly excited gases at low densities by leveraging experimental data from the newly constructed Low Density Shock Tube (LDST) at NASA Ames Research Center. Specifically, this project will seek to model the LDST apparatus with state-of-the-art numerical simulation tools which will be subsequently compared against new emission spectroscopy measurements. The numerical tools used will be SPARTA, an open source DSMC code developed by the U.S. Department of Energy, and NEQAIR, an excited state line-by-line radiation code developed at NASA Ames. The student will conduct preliminary simulation of a planar shockwave in SPARTA at conditions consistent with LDST experiments. Tools will then be developed to transfer the SPATA simulation data to NEQAIR for simulation of the emission spectroscopy diagnostic. These simulated results will then be compared to the LDST data to validate model predictions. | |
| 52 | Ames Research Center Moffett Field, California |
Neuromorphic Technology | Dr. Michael Lowry | The intern will work closely with NASA scientists and engineers on spaceflight demonstrations of new neuromorphic chips: NASA is developing the capability of flying neuromorphic co-processors for expanding the autonomy capabilities of small spacecraft. During the internship, the student will work with NASA mentors and small companies in developing infrastructure for supporting a neuromorphic co-processor including electrical, mechanical, and computational interfaces and support and possibly Mems sensor integration. This research will support NASA’s future endeavors in autonomy and robotics as well as missions for the moon, Mars, and beyond. The student will expand their skills and knowledge while providing advancement towards spaceflight. | |
| 53 | Ames Research Center Moffett Field, California |
High Fidelity Computational Fluid Dynamics | Dr. Patricia Ventura-Diaz, Senior Research Scientist/Engineer | The intern will work with the high-fidelity Computational Fluid Dynamics (CFD) team at the computational physics branch within the NASA Advanced Supercomputing Division to assist in the study, design, and development of future advanced air mobility vehicles. Using NASA’s supercomputers, the intern will support geometry development, computational analysis, and post-processing for different multi-rotor vertical take-off and landing (VTOL) vehicles, including applications such as air taxis and planetary science vertical lift aircraft. Potential work may include efforts such as: assisting in high-fidelity CFD simulations for several vertical lift vehicles (i.e. quadcopters, tiltwing air taxi, vehicle-vertiport aerodynamic interactions, Dragonfly rotorcraft lander for Titan exploration mission, etc.), or laminar-turbulent flow transition modeling for rotorcraft. Programming in Python, C++, Fortran, Tcl/bash may be involved, although no previous experience is required. Computational analysis tools like Tecplot, Pointwise, OpenFOAM, and NASA’s codes will be utilized throughout the internship to model and study the vehicles. | Graduate Masters;Graduate Ph.D.; Programming in Python, C++, Fortran, Tcl/bash may be involved, although no previous experience is required. Computational analysis tools like Tecplot, Pointwise, OpenFOAM, and NASA’s codes will be utilized throughout the internship to model and study the vehicles. |
| 54 | Ames Research Center Moffett Field, California |
Aviations Operations | Mr. William Wade, Aviation Operationss Management Division Chief | The student will work closely with NASA scientists and engineers in the the NASA Ames Aviation Operations Management Division which provides flight support to various science missions using Uncrewed Aerial Systems (UAS). The student will collaborate with UAS pilots, maintainers, aviation engineers, scientists, payload engineers, and program managers to learn about safe, compliant, and effective UAS support to airborne science missions. The student will observe the processes required to take a scientific concept to flight by navigating the administrative processes required to ensure airworthiness and flight readiness requirements. The student will also participate in UAS operations at Ames or at various field operating locations. | |
| 55 | Ames Research Center Moffett Field, California |
Trajectory design with AI techniques | Andres Dono Perez | The Flight Dynamics (FD) team at NASA Ames Research Center works on the area of astrodynamics during the whole development lifecycle of a spacecraft mission. From mission design to performing the navigation during flight, the team provides support to compute orbit parameters, design trajectories and perform orbit determination. The FD team is seeking an internship to develop more techniques in trajectory design optimization by using artificial intelligence (AI) algorithms. In particular, the team is interested in studying lunar trajectories and low thrust. The student would work on designing techniques and writing algorithms that can enable such analysis. The internship would consists of an initial trade study or research phase where various techniques, such as reinforcement learning, are explored. After an evaluation process, the second stage would be to write a code that can compute several of these trajectories in an optimized and fast manner, as compared to traditional propagation methods. The code or tool would be able to compute relevant parameters such as delta-V and duration for various initial assumptions and orbit ephemeris. The results of this code may be later utilized for the Mission Design Center (MDC) group at NASA Ames, that may involve the intern in the development of concept studies. |
Astrodynamics tools (STK, ODTK, GMAT) Python or MATLAB programming languages |
| 56 | Ames Research Center Moffett Field, California |
Detecting the Ultra-faint "Outer Limits" of Galaxies | Dr. Pamela Marcum | We are seeking interns to join our research team in support of ongoing projects related to image-processing of publicly-available Hubble Space Telescope archival data and to preparations for future observations by the soon-to-be-launched Roman Space Telescope. Through a funded grant, we are developing a new data pipeline that models and then removes various sources of background emission to reveal the diffuse, faint light in the outskirts of galaxies. This light is generally undetected in images that are processed by standard mission pipelines. The interns will have the opportunity to design their own "module" of this pipeline. The intern-developed module would specifically assist with predicting and then accounting for background contamination caused by Solar System objects that are in close proximity to telescope pointings. The interns will be provided computers for conducting their work. As members of our team, interns will be encouraged to engage in frequent communication and coordination with the other members and support our teamwork values. Our research team is multi-cultural and international, and prioritizes the fostering of an inclusive environment. | Candidates should have coding experience, and preferably have familiarity with python. Experience in working with astronomical image data would be helpful but not essential. |
| 57 | Ames Research Center Moffett Field, California |
Safety and Mission Assurance | Jessica Vos | Student will go through limited training as a Vehicle Systems Engineer (VSE) and then work alongside another VSE in the Safety and Mission Assurance area for the Orion spacecraft. The specific tasks will be tailored to match the student's education, skills, and development interests as well as US Government access control limitations. | Good verbal and written communication skills, critical thinking, engineering knowledge from education (and work, if possible), ability to get along with others. |
| 40 | Ames Research Center,Moffett Field, California | Architecture Analysis tool for the Lunar Autonomous Positioning System | Kelley Hashemi | The Lunar Autonomous Positioning System (LAPS) concerns construction of an orbital and ground resource network that provides Position, Navigation, and Timing (PNT) services for lunar surface operations. While functionally similar to the Global Positioning System (GPS) for Earth, this system will instead build an automated PNT framework using a combination of participating lunar missions and supplementary PNT assets. The goal is to use distributed algorithms to autonomously achieve orbit determination and time synchronization of accuracy sufficient for lunar surface end-user localization. The focus of the intern’s effort will be to enhance a simulation-based tool that facilitates exploration of the many LAPS architecture choices and relate them to user localization accuracy. Tasks could include a portion of the following: 1. Implement functionality to generate realistic measurements among PNT assets including considerations such as line of sight, satellite attitude, noise, signal variation due to selected hardware or operational mode. 2. Implement localization algorithms for an end user on the lunar surface using position and time estimates from visible PNT assets, gauge accuracy for variable system design choices. 3. Develop new or implement other existing automated, distributed orbit determination and time synchronization algorithms that are usable within the confines of the system architecture. 4. Execute localization accuracy trade study using the tool considering hardware selection and operational choices, asset locations, algorithm choice, access to ground truth measurements; separately consider the impact of asset failure | Computer/Software Skills Required: MATLAB. Desired: GMAT or similar. Scientific and Technical Skills: Familiarity with topics such as Kalman filters, GPS, orbital dynamics, and numerical integration is desirable. Academic Level: College Seniors through PhD |
| Note: Project numbers are retired when a project is no longer available | |||||
