Opportunities

Position Type: Hourly, Part-time

The DPI Climate Hub (https://www.climate-dpi.org/) is seeking a highly motivated graduate student with a background in atmospheric sciences, meteorology, environmental data science, remote sensing or engineering to support research and development for our AerisIQ weather forecasting system (https://aerisiq.climate-dpi.org/). The ideal candidate will contribute as a data analyst expert for extreme weather events.

This is an hourly, part-time research position, ideally suited for a graduate student seeking flexible work aligned with their academic background and interests.

Key Responsibilities

• Conduct retrospective analyses of extreme weather events (e.g., storms, high winds, heatwaves, extreme rainfall/flooding).
• Perform quantitative and qualitative comparisons between simulated forecasts and observational datasets.
• Analyze weather and climate data, including in-situ observations, reanalysis products, satellite data and weather radar outputs.
• Collaborate with software engineer to develop automated workflows for data ingestion, data pre- and post-processing, and analysis.

Qualifications

• Experience working with large-scale environmental datasets.
• Understanding of atmospheric processes and weather systems.
• Working knowledge with key data sources such as radar, in-situ observations, and reanalysis datasets
• Good programming and coding skills (e.g., Python, R, MATLAB, Java or similar).
• Familiarity with numerical weather prediction model outputs.
• Familiarity with geospatial data tools and background in statistical modeling is a plus.

Please reach out at dpiclimate@uillinois.edu with a copy of CV to apply. The position will be filled as soon as an ideal candidate is identified.