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    NRL Turbulence Modelling and Parameterization

    NRL-SSC seeks a postdoc to improve ocean circulation models by researching and parameterizing oceanic boundary layer turbulence, using observations and simulations.

    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: Annual stipend of $86,962 plus $3,000 travel allowance; typical postdoctoral fellowship duration 2-3 years.

    Summary: Postdoctoral fellowship at Naval Research Laboratory to advance oceanic boundary layer turbulence modeling and parameterization for improved ocean circulation models.

    Key Information: Applicants must be U.S. citizens or permanent residents; strong background in oceanic dynamics and turbulence modeling required; access to supercomputing and field data provided.


    Description

    The Naval Research Laboratory at Stennis Space Center, Mississippi (NRL-SSC) invites applications for a postdoctoral research fellowship focused on advancing the understanding of oceanic boundary layer turbulence and improving parameterizations of turbulent mixing in state-of-the-art ocean circulation models. The research involves:

    • Using observational data to evaluate and refine numerical simulations and empirical parameterizations.
    • Conducting novel research on the analysis and development of turbulence models.
    • Developing new turbulence modeling strategies.
    • Investigating interactions between boundary layer turbulence and submesoscale ocean features.

    Candidates should have a strong background in oceanic dynamics and expertise in turbulence modeling techniques such as mathematical analysis, Direct Numerical Simulations (DNS), and Large Eddy Simulations (LES). Programming experience in Fortran, Matlab, or Python is advantageous.

    NRL-SSC offers collaboration with internationally recognized oceanographers skilled in numerical modeling, observations, and data analysis. The postdoc will have direct access to field turbulence measurements and major supercomputing resources, alongside excellent local computing facilities.


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