Part-time Research Assistant in Meteorology - Tropical Cyclone Modeling and Data Analysis

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

This position in the Department of Meteorology and Atmospheric Science at Penn State supports a scientific researcher to work on projects at the intersection of tropical cyclones, natural hazards, and data science. The successful candidate will:

• Clean, organize, and manage tropical cyclone data for internal analysis and public release
• Apply state-of-the-art atmospheric models to better understand the seasonal predictability of tropical cyclones in the Eastern United States given forecasted large-scale environments
• Develop methods to compare overland precipitation as simulated by open-source tropical cyclone rainfall models with very-high-resolution weather model simulations and radar observations
• Write and contribute to peer-reviewed scientific publications
• Develop, document, and maintain clean, well-organized code for data processing and analysis workflows

Ideal candidates will have an M.S. degree (or higher) and prior experience with Python, tropical cyclone datasets, statistical-dynamical TC downscaling models, and working with gridded weather and climate data in NetCDF formats, along with strong scientific communication skills.

Interested candidates should submit a resume and cover lever online. Expected start date is 8/1/2026.

Employment with the University will require successful completion of background check(s) in accordance with University policies.

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The ASR is available for review here.

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact .

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