Research and Development of -resolution Satellite- Data Products in of POWER p

Research and Development of High-resolution Satellite-based Data Products in Support of POWER program

National Aeronautics and Space Administration (NASA)

Reference Code: 0043-NPP-MAR
26-LRC-Earth Sci

Final date to receive applications: 3/1/2026 6:00:59 PM Eastern Time Zone

The NASA Postdoctoral Program (NPP) offers unique research opportunities for highly talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA‑affiliated research institute. These fellowships are one‑to‑three years, competitive, and designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.

NASA’s POWER (Prediction Of Worldwide renewable Energy Resources) Project provides customized data parameters from NASA’s CERES mission, GEWEX Surface Radiative Budget project and the GMAO atmospheric reanalysis assimilation projects for renewable energy, sustainable building/architecture, and agricultural societal benefit areas. Basic and applied research is carried out to continuously innovate in improving existing datasets and developing new relevant datasets.

This postdoctoral opportunity is for highly motivated candidates interested in the following areas of POWER’s research work:

• Applying innovative methods to satellite (e.g., CERES Cloud products, TEMPO) and model datasets for developing higher resolution data products and evaluating them using surface measurements and/or satellite‑based data products.
• Assessing the variability of these data products in space and time.
• Working with end users to identify and develop new on‑the‑fly data products for solar, wind energy, and buildings/infrastructure decision support.
Using modern technologies such as machine and deep learning methods, data fusion approaches, and cloud computing. Opportunities exist for applying these technologies for algorithm optimization to contribute to the above work.
• Candidates with experience in utilizing satellite and/or modeling datasets mentioned above and with advanced programming skills (e.g., Python, C, cloud computing) are strongly encouraged to apply.

Candidates must have a Ph.D. in Atmospheric science, Earth Science, physics, data science or a related field by the date of the appointment. A qualified candidate would have experience in the following:

• Working with time‑series data from multiple space‑based and model observations (e.g., NASA CERES, MODIS, GPM, SMAP, MERRA, CMIP).
• Statistical analyses.
• Machine and deep learning methods.
• Advanced programming (e.g., Python, C, cloud computing).
• Additional expertise in any of the following is beneficial:
  Atmospheric Radiative Transfer, High performance computing.

• Citizenship: LPR or U.S. Citizen.
• Degree:
  Doctoral Degree.

• Falguni Patadia – faguni.patadia – (256) 417‑9047.
• Paul Stackhouse – paul.w.stackhouse – (757) 864‑5368.
• Questions about this opportunity? Please email npp.

All applications must be submitted in Zintellect. Please visit the NASA Postdoctoral Program website for application instructions and requirements:

How to Apply

| NASA Postdoctoral Program.

A complete application to the NASA Postdoctoral Program includes:

• Research proposal.
• Three letters of recommendation.
• Official doctoral transcript documents.