Senior Research Analyst

Experience developing AI-based weather and climate forecasting models.

Experience with model inference optimization and deployment in production or research environments.

Experience in working with large, high-dimensional model output to evaluate model behavior and evaluate physics consistency.

Experience in analyzing and visualizing large datasets, and interpreting model outputs.

Experience with high-performance computing (HPC) and working with big data.

Experience with large-scale data processing and storage systems.

$72,000.00

The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the

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The AI for Climate Initiative, a joint initiative of the Data Science Institute and the Institute for Climate and Sustainable Growth, is seeking a Senior Research Analyst to lead and support the development, evaluation, and deployment of AI-based weather and climate models.

The Senior Analyst will report to Professor Pedram Hassanzadeh, Faculty Director of AI for Climate.

This role is integral to the research on training, running, and evaluating AI models; generating and analyzing datasets for model training and evaluation; and assessing model performance using process-level diagnostics to ensure predictions are physically consistent and representative of atmospheric processes.

The successful candidate should be capable of leading research projects with moderate guidance, working across teams to enhance workflows from data preparation to final model outputs, contributing to collaborative research efforts, and translating and communicating technical developments to multiple audiences.

Train and run AI weather and climate models.

Evaluate AI weather and climate models using process-level diagnostics to assess model performance and physical consistency.

The Data Science Institute at the University of Chicago was established to support the development of emerging data science efforts across the University. The staff in the Data Science Institute supports the University’s community of scholars, their shared ideals, and the core values that make the University a singular intellectual destination. Together with the University's deans and department chairs, the Data Science Institute provides the opportunities, infrastructure, and resources that encourage our faculty and other scholars to pursue their finest work.