Ocean Modeling & Data Assimilation Researcher

What You’ll Need:

• MS in Oceanography, Mathematics, Physics, or related field (PhD preferred)
• Proficiency in Fortran, Python, and MATLAB
• Experience with Linux, shell scripting, VSCode, and High-Performance Computing (HPC)
• Strong understanding of Numerical Methods, Ocean Modeling, and Data Assimilation
• Familiarity with U.S. Navy ocean modeling systems
• Must be eligible to obtain a DoD Secret Clearance
• Prior experience in a Department of Defense research environment is strongly preferred

Peraton is seeking a motivated Ocean Modeling and/or Data Assimilation Researcher to join our growing team at the Naval Research Laboratory (NRL) at Stennis Space Center. This role supports cutting‑edge research focused on improving ocean model capabilities and assimilating new, high‑resolution observational data to support the Navy’s Earth System Prediction Capability (ESPC) and global forecasting systems.

As new instruments deliver unprecedented ocean observations, we need experts to help process, integrate, and innovate—pushing the boundaries of coupled ocean‑atmosphere models and real‑time ocean prediction.

You’ll contribute to one or more advanced research projects, collaborating with a team of scientists and developers. Responsibilities may include:

• Writing and optimizing Fortran code for Navy Data Assimilation systems
• Developing code for ensemble‑based data assimilation frameworks
• Designing schema for processing remotely sensed ocean observations
• Creating and testing algorithms for operational and research‑grade ocean models
• Conducting evaluation and validation of model enhancements
• Publishing research in peer‑reviewed journals and presenting at scientific conferences