CSSI-GW Project

The University of Chicago’s Climate Systems Engineering initiative (David Keith) and Climate Extremes Theory and Data Group (PI: Pedram Hassanzadeh) are looking for a highly motivated postdoctoral fellow to work on developing AI-based weather emulators and hybrid models for solar geoengineering including different climate conditions (CO2 levels, aerosol loading, etc.). A particular focus is on understanding changes in the characteristics of extreme weather events. The projects involves a multidisciplinary collaboration among experts in climate science, scientific ML, and climate modeling.

Please see https://geosci.uchicago.edu/people/pedram-hassanzadeh/ for more information.

The University of Chicago’s new Climate Extremes Theory and Data (CeTD) research group (PI: Pedram Hassanzadeh) has multiple positions for postdoctoral fellows and research scientists interested in working on multidisciplinary projects in the following general areas (and at their intersections):

1. Extreme weather events and climate change (with a focus on dynamics and the extratropical atmospheric circulation);
2. Scientific deep learning for multi-scale nonlinear dynamical systems (with a focus on developing general, rigorous frameworks);
3. Applications of deep learning to improve analysis, modeling, and prediction of climate variability, weather extremes, and geophysical turbulence (with a focus on subgrid-scale modeling and spatio-temporal forecast/emulation).

Please see https://geosci.uchicago.edu/people/pedram-hassanzadeh/ for more information.