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HomeCompaniesCareers Peraton Icims ComOcean Modeling & Data Assimilation Researcher

Ocean Modeling & Data Assimilation Researcher

Careers Peraton Icims Com · Stennis Space Center, MS, US · Active · $80,000–$128,000 / day · iCIMS

Job facts

FieldValue
CompanyCareers Peraton Icims Com
TitleOcean Modeling & Data Assimilation Researcher
Normalized title-
Department / teamScientific, Research & Analysis
LocationStennis Space Center, MS, United States
Work model-
Employment typeFull Time
Salary$80,000–$128,000 / day
Statusactive
ATS provideriCIMS
Posted / first seen2025-06-17 / 2026-05-31
Changed / last seen2026-06-01 / 2026-06-06

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City jobsActive postings in Stennis Space Center.Open
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Linked records

CompanyCareers Peraton Icims Com
Source944b3981-c90b-4379-a0d8-7cc8e4e36cf3
ATS provideriCIMS

Description

Responsibilities 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 Peraton Overview 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 do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. 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. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Full job record

Job ID6e74b2096f95412a8e677cc2c4a8690eb1110ff6
Org IDb88db125-2f81-4362-9897-a29d0e7de670
Source ID944b3981-c90b-4379-a0d8-7cc8e4e36cf3
Board ID944b3981-c90b-4379-a0d8-7cc8e4e36cf3
Providericims
Provider Job Key157707
TitleOcean Modeling & Data Assimilation Researcher
Normalized Title
Statusactive
Activeyes
Location TextStennis Space Center, MS, US
DepartmentScientific, Research & Analysis
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionMS
CityStennis Space Center
Salary RawResponsibilities 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 Peraton Overview 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 do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. 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. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Salary Min80,000
Salary Max128,000
Salary CurrencyUSD
Salary Periodday
Source URLhttps://careers-peraton.icims.com/jobs/157707/ocean-modeling-%26-data-assimilation-researcher/job
Apply URLhttps://careers-peraton.icims.com/jobs/157707/ocean-modeling-%26-data-assimilation-researcher/job
First Seen At2026-05-31 18:45:22Z
Last Seen At2026-06-06 08:30:31Z
Last Checked At2026-06-06 08:30:31Z
Last Changed At2026-06-01 13:53:09Z
Inactive At
Source Posted At2025-06-17 04:00:00Z
Source Updated At2026-05-11 18:49:07Z
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