UC San Diego · 13 hours ago
Numerical Weather Prediction Scientist - 132555
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Responsibilities
Supports the development, evaluation, verification, and improvement of mesoscale weather prediction models.
Analyzes large data sets including model output 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 sensitivity studies involving model physics and dynamics.
Supports the analysis and dissemination of experimental results via conference presentations, manuscripts, technical reports, and other publications.
Contributes to and leads research assignments that are of moderate diversity in scope.
Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.
Qualification
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Required
Bachelor’s degree in Atmospheric Science or related fields.
Thorough knowledge of research function.
Ability to work with large datasets with different formats and components, including NetCDF, GRIB, and binary.
Experience and proficiency in independently setting up, running, and analyzing output from numerical weather prediction models, such as WRF, MPAS, or similar.
Experience running numerical weather prediction models on high-performance computing (HPC) platforms.
Expertise in scientific and mathematical concepts of numerical weather prediction, including model parameterization schemes.
Thorough skills associated with statistical analysis and systems programming.
Proven expertise in programming to include Python, Fortran, Perl, NCL, and shell scripting, amongst other programming languages.
Must be proficient in Linux environments on HPC systems.
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.
Research skills at a level to evaluate alternate solutions and develop recommendations.
Excellent interpersonal skills including thoughtfulness, diplomacy and flexibility.
Ability to work independently or within a team framework.
Knowledge of ensemble prediction concepts, applications, and verification strategies.
Must pass a background check.
Preferred
Masters degree or Ph.D in Atmospheric Science or related fields.
Company
UC San Diego
UC San Diego Extension is an online research university for community leaders and professionals.
H1B Sponsorship
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Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2023 (171)
2022 (216)
2021 (175)
2020 (193)
Funding
Current Stage
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