10 phd-numerical-analysis Postdoctoral positions at National Aeronautics and Space Administration (NASA)

Instrument Design & Engineering for the Airborne Meteorological Measurement System

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 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

Computational design for spacecraft applications

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

PhD in a relevant field such as structural mechanics, heat transfer, numerical optimization, topology optimization, or lattice design. The postdoctoral scholar will be responsible for vigorously

Passive Sounding of Solar System Bodies Using Radio Astronomical Sources

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

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

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

. The analysis of flare data and its contextualization to planet habitability is the primary science goal for SPARCS. However, as this is a small team, the researcher will have the opportunity to tailor

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

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

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 | 6 days ago

missions and other sources, models, analysis tools and research results through a centralized environment that fosters knowledge sharing, collaboration, and innovation. The NASA Biological Diversity program

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 4 hours ago

of fellowship appointment. Questions about this opportunity? Please email npp@orau.org Qualifications Strong background in remote sensing, satellite data analysis, and/or machine learning methods. Familiarity

High Fidelity Modeling of Heating during Entry to the Outer Planets

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

@orau.org Qualifications The successful applicant should have a PhD in science or engineering discipline with experience in running reacting fluid dynamics simulations. Experience with high fidelity, state

Data Science for Satellite Remote Sensing and Earth Science Research

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 17 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

New developments in polarimetric ground-based instrumentation for remote sensing and validation of aerosols and clouds

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

. The candidate must have hands-on instrumentation experience and ability to connect this to atmospheric radiative transfer through an understanding of data processing and analysis. A successful candidate will have