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

Computational design for spacecraft applications

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

Computational design for spacecraft applications

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months 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

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

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

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 | about 6 hours 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

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

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago

2) I-485 or I-589 forms in pending status Questions about this opportunity? Please email npp@orau.org Qualifications PhD in atmospheric science, environmental engineering, public health, data science

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 | 3 months 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 6 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 | about 6 hours 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 | 6 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

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

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months 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