Atmospheric Data Scientist

The Atmospheric Research Modeler is responsible for supporting the development, evaluation, verification, and improvement of mesoscale weather prediction models. Job Reference # 116712


Date posted

Aug. 12, 2022 2:00 pm

Application deadline

Aug. 24, 2022 5:00 pm


The University of California San Diego


  • United States

Job description

The Atmospheric Research Modeler is responsible for supporting the development, evaluation, verification, and improvement of mesoscale weather prediction models. Analyzes large data sets including model data and observations from several platforms, and develops forecast models and decision support tools focused on atmospheric processes related to extreme events and their impacts. Calculates model verification statistics to assess the prediction skill of the CW3E weather forecast system. Contributes to a variety of modeling projects, including CW3E near-real time forecasting system, high-resolution reanalysis, dynamical ensembles, high-resolution simulations of landfalling atmospheric rivers, and the representation of the marine boundary layer. Supports the analysis and dissemination of experimental results via conference presentations, manuscripts, technical reports, and other publications.

Researches assignments that are of moderate diversity in scope. Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.


  • Thorough knowledge of research function. Ability to work with large datasets with different formats and components, including NetCDF, GRIB, and binary.
  • Thorough skills associated with statistical analysis and systems programming. Proven expertise in programming to include shell scripting, Matlab, IDL, Fortran, Perl, NCL, and Python, amongst other programming languages. Must be proficient in Linux environments.
  • Thorough skills in analysis and consultation. Strong time management skills. Ability to prioritize tasks appropriately and meet deadlines.
  • Skills to communicate complex information in a clear and concise manner both verbally and in writing. Skills in scientific visualization, scientific writing, and experience presenting at scientific conferences (poster and oral presentations).
  • Skills in project management. Strong time management skills. Can prioritize tasks. Meets deadlines.
  • Research skills at a level to evaluate alternate solutions and develop recommendations. This includes proposing new analyses, new conceptual ideas, or new workflow recommendations.
  • Experience and proficiency in setting up, running, and analyzing output from numerical weather prediction models, such as WRF, MPAS, or similar.
  • Excellent interpersonal skills including thoughtfulness, diplomacy and flexibility with the ability to work independently or within ateam framework in conjunction with principles of community with staff, faculty, researchers, and students.
  • Graduate degree in atmospheric sciences or related field.
  • Experience running numerical weather prediction models on high-performance computing (HPC) platforms.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation.

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