Ocean Modeling & Data Assimilation Researcher

About Peraton Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure.

About The Role 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.

What You'll Do:

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

Qualifications 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

Details Target Salary Range: $80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.