8 machine-learning Postdoctoral positions at National Aeronautics and Space Administration (NASA)

Physics Informed Machine Learning for Space Power System Diagnostics and Control

National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | 27 minutes 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

Pre-Fire Burnable Material Assessment and Post-Fire Damage Assessment from Multi-Sensor Remote Sensing

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 29 minutes 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

A Next-Generation Wildfire Risk Assessment System: Integrating Satellite Data, Deep Learning, and Advanced Statistical Analytics

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 25 minutes 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

Astrodynamics Applications of Artificial Intelligence

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 30 minutes 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

Earth Science: Impacts

National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 19 hours 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

Quantifying Arctic Ocean Tipping Points

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 19 hours 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

A Next-Generation Wildfire Risk Assessment System: Integrating Satellite Data with Deep Learning Insights

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 2 days ago

wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk

Data Science for Satellite Remote Sensing and Earth Science Research

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 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