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    NRL Hyperspectral Characterization of the Coastal Regime

    NRL's hyperspectral program studies coastal waters using remote sensing and radiative transfer models, validated with in-situ data and advanced instrumentation.

    This grant is no longer accepting proposals

    NRC Research Associateship Programs has archived this opportunity.

    Funder: NRC Research Associateship Programs

    Due Dates: February 1, 2025 | May 1, 2025 | August 1, 2025 | November 1, 2025

    Funding Amounts: Stipend approximately $99,200 per year plus $3,000 travel allowance; relocation assistance available for eligible awardees. Typical fellowship duration 2-3 years.

    Summary: Postdoctoral fellowship opportunity at the Naval Research Laboratory to conduct hyperspectral remote sensing research focused on coastal ocean waters using advanced airborne and satellite instrumentation.

    Key Information: Open to U.S. citizens and permanent residents holding a doctoral degree within the last 5 years; requires contacting a Research Adviser prior to application.


    Description

    This fellowship supports research within the Naval Research Laboratory's (NRL) Remote Sensing Division, focusing on hyperspectral optics and remote sensing of coastal and open ocean waters. The program aims to relate optical observations to underlying physical and biological processes, emphasizing radiative transfer modeling of oceanic hyperspectral signatures in both water and atmospheric environments. A key challenge addressed is the accurate compensation for atmospheric effects in complex coastal regimes.

    Research is conducted using a variety of airborne and satellite remote sensing systems, including an extensive suite of aircraft-based hyperspectral and multispectral sensors, field spectrometers for on-site measurements, in-water optical profiling systems, and state-of-the-art calibration facilities. The program validates radiative transfer models through both remote and in situ observations.

    This opportunity is ideal for postdoctoral researchers interested in oceanography, environmental science, remote sensing, and optical modeling, particularly those focused on coastal zone processes and satellite data interpretation.


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