6 machine-learning-phd 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 | about 6 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

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 | about 5 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

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 | about 6 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

Astrodynamics Applications of Artificial Intelligence

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago

. Description: The research for this position will focus on the application of artificial intelligence and machine learning to solving complex trajectory design problems.  Specific applications will focus on tour

Fiber Modeling for Thermal Protection Materials

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago

Candidates with a PhD in engineering (chemical, mechanical, and/or aerospace), physics, materials science, and/or geology are encouraged. Experience in particle-based methods is required, methods such as

Uncertainty Quantification and Verification Planning for Space Systems

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago

@jpl.nasa.gov (818) 793-4606 Questions about this opportunity? Please email npp@orau.org Qualifications The selected candidate must have a PhD degree in aerospace engineering, or related field; must have