31 information-theory Postdoctoral positions at National Aeronautics and Space Administration (NASA)

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

data inputs and linear models. Consequently, they struggle to capture the complex, non-linear interactions between fuel conditions, topography, weather dynamics, and anthropogenic activity

Physics Informed Machine Learning for Space Power System Diagnostics and Control

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

derive physics informed machine learning techniques to support fault diagnostics and control of space based power systems. Field of Science: Engineering Advisors: Marc Carbone marc.a.carbone@nasa.gov (330

Integration of remote sensing data and improved physical process representation in NASA modeling systems

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago

. Description: The Hydrological Sciences Laboratory at NASA‘s Goddard Space Flight Center is seeking a post-doc candidate to conduct research on the integration of remote sensing data and models to improve

Data Science for Satellite Remote Sensing and Earth Science Research

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

Optical Plasma Diagnostics for Inductively Coupled Plasma (ICP) Material Testing and MHD Jet Stability

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

facilities. The primary project is to design and implement several optical diagnostics to characterize plasma flow, plasma–material interactions, and the stability of the magnetized plasma jet. Applicants

Federated Communications Relays for Deep Space Exploration

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

these architectures through simulation (e.g. ns-3) and hardware test platforms (e.g. Software Defined Radio) will enable critical information for architecture selection of future planetary missions. Field of Science

Uncertainty Quantification and Verification Planning for Space Systems

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

. Description: Uncertainty quantification is a field with wide applicability to the design, development, and science return of space science missions. There is growing interest for the tools and practices

Asteroid observational studies

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

. Description: This opportunity is for observational studies of asteroids addressing their composition, thermal properties, origin, and/or evolution. New observations can be proposed; studies involving archival

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 5 hours ago

. Description: Wildfires pose increasing risks to ecosystems, infrastructure, and communities. To better anticipate impacts and support recovery, there is a pressing need to (1) characterize burnable material and

Geological Evolution of Major Shield Volcanoes on the Moon Using Contemporary Lunar Mission Datasets

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

will study these shield volcanoes and compare the geological differences among them, including Rümker, Gardner, Prinz, Aristarchus, Kepler, Hortensius, Marius Hills, and Cauchy features. Data sets