Ocean Light and Shadows
Naval Research Lab seeks a postdoc for ocean science research using laser remote sensing and data assimilation, focusing on ocean physics and optics.
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 and health insurance benefits included. Typical award duration 2-3 years.
Summary: Postdoctoral fellowship at the Naval Research Laboratory focused on advancing ocean sciences through laser remote sensing, data assimilation, and autonomous systems with emphasis on ocean transport physics and optics.
Key Information: Open to U.S. citizens and permanent residents holding a Ph.D. within the last 5 years; requires contacting a Research Adviser prior to application.
Description
The Naval Research Laboratory (NRL) invites applications for a postdoctoral research fellowship in ocean sciences, emphasizing the development and application of laser remote sensing and data assimilation techniques. The research will focus on understanding ocean transport and current physics, particularly within the photic zone (depths less than 200 meters). The Ocean Sensing and Processes Branch conducts both basic and applied research to develop advanced science and technology related to the physical and optical properties of littoral and offshore marine environments.
Research activities will include high-performance computing simulations, laboratory measurements, and field experiments. Experience with data assimilation or working with oceanographic instrumentation in laboratory or field settings is desirable but not mandatory.
This fellowship offers an opportunity to engage in cutting-edge research involving laser remote sensing, autonomous systems, and artificial intelligence applications for oceanographic sensing and navigation. The position also involves developing lidar systems for Uncrewed Aerial Systems (UAS) navigation, AI/ML algorithms for autonomous pathfinding and feature detection, and multi-sensor fusion techniques.
