10 machine-learning-postdoc Postdoctoral positions at National Aeronautics and Space Administration (NASA)
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 4 hours ago
such as electrical power. Recent advances in machine learning present new opportunities to enhance the level of fault management and control in NASA's future power system applications. This work aims to
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
on the principle that by integrating high-resolution Earth observation (EO) data from NASA with state-of-the-art machine learning, we can produce a more accurate, dynamic, and actionable measure of wildfire risk
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
, repeatable coverage of fire-prone regions. When combined with modern statistical and machine-learning approaches, these data enable robust mapping of fuels, assessment of burn severity, estimation of biomass
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
soluble components useful to, and usable by, potential life in the ocean? What observational signatures of evolution would be expressed by that organic matter? The Postdoc would use a suite of experimental
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
on the application of artificial intelligence and machine learning to solving complex trajectory design problems. Specific applications will focus on tour design strategies and trajectory design within other multi
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 27 days ago
, machine learning and statistical methods to elevate impacts research. There is also opportunity to work at the nexus of water and agriculture, as well as in risk management for suburban landscapes. Location
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 27 days ago
://doi.org/10.3389/fenvs.2025.1473890 Madani, N., et al., & Miller, C. E. (2024). A machine learning approach to produce a continuous solar-induced chlorophyll fluorescence dataset for understanding Arctic
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 29 days ago
. Description: The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 29 days ago
for detection, auto-correlation, and depth retrieval; validating signal reflection models through analysis of radar data; and evaluating the performance and limitations of passive sounding in realistic mission
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Geological Evolution of Major Shield Volcanoes on the Moon Using Contemporary Lunar Mission Datasets
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 29 days agoevolution combined with composition. The candidate will be an independent researcher. As part of their stay at the Jet Propulsion Laboratory, they will learn about mission formulation and mission development