18 big-data-machine-learning-phd Postdoctoral positions at National Aeronautics and Space Administration (NASA)

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

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours 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

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

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

observations and model-based data. Apply machine learning techniques to optimize factor weightings and reveal critical wildfire drivers. Validate models using multi-source wildfire data (MODIS, VIIRS, and NOAA

Data Science for Satellite Remote Sensing and Earth Science Research

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

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 | about 5 hours ago

. Description: Ocean worlds such as Europa, Enceladus, Titan and Ceres are exciting, potentially habitable worlds in our own solar system. A large mass fraction of these bodies could be composed of organic matter

Development of Inverse Heat Transfer Methods for Reconstructing Aerothermal Entry Environments

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

applied to both existing and new flight data. The applicant should have experience with materials modeling, uncertainty quantification, and heat transfer analysis. Field of Science: Engineering Advisors

Geologic sources of carbonaceous gasses and their impacts on terrestrial ecology

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

quantification of geologic CO2 and CH4 emissions on large scales are challenged by the remoteness of emission sites, inaccurate attribution of emission sources, emission variability, and insufficient monitoring

Instrument Design & Engineering for the Airborne Meteorological Measurement System

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

to scientific data analysis. Development of secondary projects which foster collaborations with other researchers both at NASA Ames and externally is also encouraged. Field of Science: Earth Science Advisors

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

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

Passive Sounding of Solar System Bodies Using Radio Astronomical Sources

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

Investigating Air Quality Challenges and Impacts in California’s Central Valley

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

status Questions about this opportunity? Please email npp@orau.org Qualifications PhD in atmospheric science, environmental engineering, public health, data science, or relevant disciplines. Experience