NRL Regional and Coupled Modeling Systems
Research grant for regional ocean, ice, and coupled atmosphere-ocean modeling to improve short-term sea and ice prediction using advanced computing.
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 (Application Deadline)
Funding Amounts: Stipend approximately $86,962 per year plus $3,000 travel allowance; relocation assistance available for eligible awardees.
Summary: Postdoctoral fellowship supporting research in regional ocean, ice, and coupled atmosphere-ocean modeling to advance short-term sea and ice circulation prediction using high-performance computing.
Key Information: Open to U.S. citizens and permanent residents; requires Ph.D. earned within 5 years; research conducted onsite at Naval Research Laboratory, Stennis Space Center, MS.
Description
This fellowship opportunity at the Naval Research Laboratory (NRL) focuses on advanced research in numerical regional ocean modeling, global and regional ice modeling, and coupled atmosphere-ocean-wave systems. The research aims to improve understanding and prediction of regional sea and sea ice circulation on timescales from hours to days and spatial scales of 1-10 km. Key research areas include geophysical fluid dynamics, ocean thermodynamics and dynamics, ice dynamics and thermodynamics, and numerical modeling techniques.
A major emphasis is on developing Earth System Modeling Framework (ESMF)-based coupling systems integrating atmosphere-ocean, ocean-wave, atmosphere-wave, ocean-atmosphere-ice, and ice-wave interactions. The laboratory offers access to state-of-the-art computing resources, including advanced LINUX clusters and high-performance scalable computers, alongside excellent facilities for data analysis and visualization.
This fellowship is designed for postdoctoral researchers to conduct self-directed research aligned with NRL's mission, contributing to real-time forecasting capabilities and model verification.
