31 phd-position-in-data-modeling-"UCL"-"UCL" Postdoctoral positions at National Aeronautics and Space Administration (NASA)

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 4 hours ago

-radiative (CR) modeling. The selected postdoctoral fellow will integrate these diagnostics into ongoing material testing campaigns and provide benchmark data for both material response modeling and plasma

Computational, Analytical and Experimental Thermodynamics to Investigate the Presence, Stability, and Implications of Organic Matter in Ocean Worlds

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 28 days ago

, based on recent geophysical and geochemical models, and experiments quantifying the stability of organic matter that was likely to be present in the building blocks of these worlds. Our group is

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 4 hours ago

. Integrate independent references for rigorous validation. Methods & Data Engineering Design generalizable, well-documented pipelines for data fusion and modeling using established geospatial and scientific

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

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

from 200 km orbital altitude and 140 m/pix resolution. Lunar Reconnaissance Orbiter (LRO) Lunar Orbiter Laser Altimeter (LOLA)- Kaguya/Selene combined digital elevation model (SLDEM) data with 60 m/pix

Passive Sounding of Solar System Bodies Using Radio Astronomical Sources

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

Astrodynamics Applications of Artificial Intelligence

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago

designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology. Description: The research for this position will focus

Remote Sensing from Space: NASA Biodiversity and Ecological Conservation Opportunity with the NASA Earth eXchange (NEX)

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 25 days ago

biodiversity trends, particularly in response to Earth system variability, land-use change, and other shifting environmental conditions and stressors. Integrating in situ data with remotely sensed observations

Stellar and Exoplanet science with the Star-Planet Activity Research CubeSat (SPARCS)

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

modeling. · Expertise in astronomical data reduction pipelines, high-reliability software systems, and detector calibration is strongly valued. · Excellent written and oral communication skills and the

Instrument Design & Engineering for the Airborne Meteorological Measurement System

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 25 days ago

opportunities to develop software (C, Python, Fortran) to modernize the legacy MMS instrument. This position will afford opportunities to participate in NASA-sponsored flight campaigns, and contribute

Geologic sources of carbonaceous gasses and their impacts on terrestrial ecology

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 25 days ago

enhancements. We seek candidates with backgrounds in Earth and environmental science, especially those with experience using remote sensing data to study ecological phenomena. Backgrounds in atmospheric