The Naval Research Laboratory (NRL) at Stennis Space Center is seeking a postdoctoral associate in applied math with a focus on physical oceanography. The subject of research involves developing machine learning (ML) algorithms for mixed layer depth forecasting in regional applications. The candidate is expected to have in-depth knowledge of the ML technique and demonstrate strong programming skills (MATLAB, Python, Fortran, Silk, Unix scripting). Experience with large data sets and numerical modeling is advantageous. In addition to developing and training neural networks, the role includes substantial experimentation with atmospheric and oceanic data from NRL’s data assimilation systems to evaluate the network’s forecasting capabilities. The Naval Research Laboratory provides an opportunity to work with a large group of internationally recognized researchers.  We have access to superb supercomputing and general computational resources.  A postdoctoral fellow will be hired with a stipend for 1 year with an excellent opportunity of renewal and future employment at the Lab. Applicant must be a U.S. citizen or permanent resident at the time of application. NRL is an equal opportunity employer. Interested applicants should send a resume to max.yaremchuk.civ@us.navy.mil.

Relevant publications: doi: 10.1029/2024GL110472,  10.1016/j.rsma.2024.103750, and 10.1038/s41586-023-06185-3.

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Additional Benefits

Awardees who reside more than 50 miles from their host laboratory and remain on tenure for at least six months are eligible for paid relocation to within the vicinity of their host laboratory.

A group health insurance program is available to awardees and their qualifying dependents in the United States.