Marine Data Assimilation Scientist

27 May 2023

Job ID: 2305322


Date Posted: 2023-04-25

Category: Engineering and Sciences

Subcategory: Scientist

Schedule: Full-time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: No

Description SAIC is seeking a

Marine Data Assimilation Physical Scientist to support the Environmental Modeling Center (EMC) of the National Centers for Environmental Prediction (NCEP) in carrying out research and development work related to the future operational marine component of the Unified Forecast System (UFS). The

Marine Data Assimilation Physical Scientist's work will involve the development, execution, testing, and evaluation of several components of the marine data assimilation system in the framework of coupled assimilation and modeling. Note: The work location is at the NOAA Center for Weather and Climate Prediction (NCWCP) in College Park, MD. This hybrid role does offer the ability to work from home 2-3 days per week. The

Marine Data Assimilation Physical Scientist will perform the job duties in a high-quality, independent, and collaborative way, assisting in managing projects and developing and applying innovative methods for the primary work areas described below. The

Marine Data Assimilation Physical Scientist will work with EMC scientists and external collaborators to develop the marine and coupled data assimilation capabilities for use in the UFS. In particular, developments will leverage and contribute to the Joint Effort for Data assimilation Integration (JEDI) project. The primary focus will be the marine JEDI project with contributions to the development of the coupled model in support of the data assimilation development activities. Job responsibilities to include, but not limited to:
  • Advance the development of the marine (ocean and sea ice) DA development as well as to
  • evaluate the scientific quality of the ocean analysis for use in global medium range weather and subseasonal-to-seasonal prediction systems.
  • Investigate the coupled model setup and parameterizations at the interfaces between interacting components of coupled Earth system models.
  • Support and further develop UFS' subsystems and their communication among the model and data assimilation components
  • Evaluating the scientific quality of the ocean and sea-ice analyses produced by the JEDI-based coupled assimilation system.
Qualifications Required Minimum Education and Experience:
  • Master's Degree and equivalent experience in atmospheric sciences or meteorology, physical oceanography, or related physical science
  • Citizen or Green Card holder with the ability to obtain a Public Trust clearance. For the Green Card holder to qualify for the clearance they must have lived in the US for a minimum 3 years prior to application. Anis not accepted.
  • 2 years of experience in coupled forecast and analysis systems.
  • Expert knowledge of the physical and mathematical basis of geophysical modeling (oceanic and atmospheric).
  • Advance knowledge of ocean data assimilation with focus on the DA development and global applications
  • Experience in model development in various infrastructures
  • Advanced knowledge and experience of modern programming languages such as object-oriented FORTRAN, python, and/or C
  • Experience working in a UNIX environment with advanced scripting languages
  • Experience in working with HPC platforms (MPI, OpenMP, etc.)
  • Modern software engineering practices (requirements gathering, design, prototyping, version control, integration, testing, and documentation).
  • Experience in model testing and evaluation and/or knowledge of verification principles.
  • Ability to work independently and in a team environment on complex problems.
  • Good oral and written communication skills in English
  • Demonstrated skill in performing tasks requiring organization and attention to detail.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.