Research and Development of -resolution Satellite- Data Products in of POWER p
Listed on 2026-04-17
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Engineering
Artificial Intelligence -
Research/Development
Data Scientist, Artificial Intelligence
Organization
National Aeronautics and Space Administration (NASA)
Reference Code0043-NPP-NOV
26-LRC-Earth Sci
NASA’s POWER (Prediction Of Worldwide Renewable Energy Resources) Project delivers customized data parameters from NASA’s CERES mission, GEWEX Surface Radiative Budget project, and the GMAO atmospheric reanalysis assimilation projects to support renewable energy, sustainable building, and agricultural benefit areas. This role focuses on innovating data accuracy and developing new datasets for end‑users.
The responsibilities include:
- Applying innovative methods to satellite (e.g., CERES Cloud products, TEMPO) and model datasets to create higher‑resolution products and evaluate them using surface measurements and satellite data.
- Assessing spatial and temporal variability of data products.
- Collaborating with end users to develop on‑the‑fly data products for solar, wind energy, and infrastructure decision support.
- Utilizing modern technologies such as machine/deep learning, data fusion, and cloud computing for algorithm optimization.
Earth Science
AdvisorsFalguni Patadia – falguni.patadia |
QualificationsPh.D. in Atmospheric Science, Earth Science, Physics, Data Science, or a related field required by the appointment date.
- Experience with time‑series data from space‑based and model observations (e.g., NASA CERES, MODIS, GPM, SMAP, MERRA, CMIP).
- Statistical analysis expertise.
- Machine & deep learning method experience.
- Advanced programming skills (e.g., Python, C, Cloud computing).
- Beneficial additional expertise:
Atmospheric Radiative Transfer, High performance computing.
- Citizenship: LPR or U.S. Citizen.
- Degree:
Doctoral Degree.
Point of Contact:
Mikeala
Questions about this opportunity? Please email npp.
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