Coupled Bio-Optical-Physical Modeling, Data Assimilation, and Adaptive Sampling
This project models coastal processes by combining bio-optical and physical data to improve underwater light predictions through data assimilation and adaptive sampling.
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 (Next deadline)
Funding Amounts: Stipend approximately $86,962 per year with $3,000 travel allowance; typical fellowship duration 2-3 years.
Summary: Supports postdoctoral research modeling coupled bio-optical and physical coastal ocean processes using data assimilation and adaptive sampling to improve underwater light predictions.
Key Information: Open to U.S. citizens and permanent residents; requires contacting Research Adviser prior to applying; relocation and health insurance benefits included.
Description
This fellowship opportunity at the Naval Research Laboratory (NRL) focuses on advanced research in coupled bio-optical and physical modeling of coastal ocean processes. The research involves the use of nested, data-assimilating numerical models to integrate physical, biological, and optical data from both remote sensing and in-situ observations.
Key research topics include:
- Physical-biological-optical modeling of coastal environments.
- Joint data assimilation of physical and bio-optical datasets.
- Adaptive sampling strategies for physical and bio-optical coastal properties.
- Understanding the coupled processes that influence variability and predictability of the underwater light field.
- Developing methodologies to predict underwater light conditions on timescales of 1 to 5 days.
- Investigating the impact of two-way air-sea coupling on modeling coastal upwelling and relaxation events.
This research aims to enhance predictive capabilities relevant to marine science, oceanography, and optics, with applications in environmental monitoring and naval operations.
