Leveraging Smallsats to Improve Atmospheric Prediction
This grant funds research using small satellites & machine learning to improve weather forecasting through better data collection & uncertainty analysis.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: May 1, 2025 | August 1, 2025 | November 1, 2025 | February 1, 2026
Funding Amounts: $108,245 stipend plus $3,000 travel allowance; typical fellowship duration 2-3 years.
Summary: Supports postdoctoral research using small satellites and machine learning to enhance atmospheric prediction through adaptive sampling and uncertainty quantification.
Key Information: Open to U.S. citizens and permanent residents; requires Ph.D. earned within last 5 years; relocation and health insurance benefits included.
Description
This fellowship opportunity, offered by the NRC Research Associateship Programs in partnership with the Naval Research Laboratory (NRL), supports postdoctoral research focused on advancing atmospheric prediction by leveraging observations from small satellites (SmallSats). The research aims to develop innovative techniques to maximize information extraction from SmallSats data, addressing their unique characteristics. Key research areas include adaptive sampling strategies and dynamic uncertainty estimation, employing both statistical methods and machine learning approaches.
The project is situated within the Marine Meteorology division at NRL in Monterey, California, providing access to state-of-the-art facilities and expert mentorship. The research outcomes are expected to improve weather forecasting capabilities by enhancing data assimilation and uncertainty quantification processes.
