Ocean Modeling & Data Assimilation Scientist

Peraton; Mississippi; On-site; USD 80,000 - 128,000; Full time

Job summary

Peraton is seeking an Ocean Modeling & Data Assimilation Researcher to join the Naval Research Laboratory at Stennis Space Center. The role focuses on improving ocean model capabilities and assimilating high-resolution observational data to support ESPC and global forecasts.

Responsibilities include developing ensemble-based assimilation frameworks, processing remote ocean observations, and validating model enhancements for research and operations.

Qualifications

• MS in Oceanography, Mathematics, Physics, or related field (PhD preferred).
• Proficiency in Fortran, Python, and MATLAB.
• Experience with Linux, shell scripting, VSCode, and 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.

Responsibilities

• 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

Skills

Fortran

Python

MATLAB

Linux

Shell scripting

VSCode

HPC

Numerical Methods

Ocean Modeling

Data Assimilation

Navy models

DoD clearance

Education

MS in Oceanography

PhD preferred

Tools

None

Job description

Peraton is seeking an Ocean Modeling & Data Assimilation Researcher to join the Naval Research Laboratory at Stennis Space Center. The role focuses on improving ocean model capabilities and assimilating high-resolution observational data to support ESPC and global forecasts.

Responsibilities include developing ensemble-based assimilation frameworks, processing remote ocean observations, and validating model enhancements for research and operations.