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.

Minimum qualifications:

•  Ph.D. in climate science, engineering, applied math or physics, or a related field.

•  Experience with training and using neural networks for physical systems.

•  Excellent communication and collaboration skills.

Preferred qualifications:

• Experience with climate data and models.
• Experience with climate physics.

Application Process:

Interested candidates should submit a complete curriculum vitae that includes a list of publications and contact information of at least three references as well as a statement of past research and current interests (max 1 page) to pedramh@uchicago.edu. Please use the subject line "Postdoc application: Emulators". Applications will be accepted until February 1, 2024. The start date is flexible but should be before July 1, 2024.

Outstanding applicants with more than 3 years of postdoc experience will be considered for appointment as research scientists.

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We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual  challenge, engagement, and exchange. The University’s Statements on Diversity are at https://provost.uchicago.edu/statements-diversity

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