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Ocean Modeling Integration/Testing/Validation Specialist

2 months ago

Lanham, Maryland, United States Science Systems and Applications Full time
Job Summary

We are seeking a highly skilled Ocean Modeler to join our team at Science Systems and Applications, Inc. (SSAI). The successful candidate will be responsible for integrating scientific and engineering updates into our large and complex earth system model at NASA's Goddard Space Flight Center.

Key Responsibilities
  • Develop, implement, and validate numerical models of ocean circulation, waves, and other marine processes.
  • Simulate oceanic phenomena such as ocean currents, temperature, salinity, sea level rise, and interactions with the atmosphere.
  • Collaborate with researchers, scientists, and engineers to design and implement modeling experiments.
  • Implement high-performance computing techniques to optimize large-scale ocean models for efficiency and accuracy.
  • Analyze observational data and integrate it with models to improve forecasting and hindcasting.
  • Maintain and update model code, ensuring best practices in version control and software documentation.
  • Stay up to date with advancements in ocean modeling and incorporate new techniques and methods into our models.
  • Communicate complex modeling concepts and results to both technical and non-technical audiences.
  • Publish research findings in peer-reviewed journals and present at conferences.
Requirements
  • Ph.D. or equivalent in Oceanography, Physical Oceanography, or related field, with 2 years of relevant experience.
  • Experience with ocean modeling software (e.g. MOM6, ROMS, MITgcm, HYCOM).
  • Strong programming skills in languages such as Python, Fortran, or C++.
  • Experience with high-performance computing environments (HPC) and parallel processing (MPI, OpenMP).
  • Knowledge of oceanographic observational datasets (e.g., ARGO floats, satellite altimetry, etc.).
  • Proficiency with Linux shell scripting, and collaborative version control software such as Git.
  • Experience with data analysis and visualization tools (e.g. Python libraries).
  • Ability to work with large datasets, including satellite and in-situ observations, to validate and improve model performance.
  • Ability to work independently and within interdisciplinary teams.
  • Strong written and oral communication skills.
  • US Citizenship or Permanent Residency required.
Desired Qualifications
  • Experience with data assimilation techniques and machine learning applied to oceanographic modeling.
  • Familiarity with climate models and coupled ocean-atmosphere modeling systems.
  • Experience with cloud computing platforms (AWS, Google Cloud) for large-scale simulations.