Peraton is seeking a researcher to improve ocean model capabilities and assimilate new, high-resolution observational data for the Navy's Earth System Prediction Capability (ESPC) and global forecasting systems, pushing the boundaries of coupled ocean-atmosphere models and real-time ocean prediction.
Requirements
- 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
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
Other
- MS in Oceanography, Mathematics, Physics, or related field (PhD preferred)
- Must be eligible to obtain a DoD Secret Clearance
- Prior experience in a Department of Defense research environment is strongly preferred
