Postdoctoral Scholar - Machine Learning for Extreme Weather Events

Job description

Description Professor Greg Hakim in the Department of Atmospheric and Climate Science at the University of Washington is seeking a full-time (100% FTE) postdoctoral scholar to investigate extreme events in historical climate. Building on reconstructions of the climate of the last millennium, we seek to understand the range of variability of extreme heatwaves, coldwaves, tropical cyclones and other weather events. This research involves the use of machine-learning weather models for sampling these extreme events conditioned on the climate state. This position is part of a larger team spread across three universities with the common goal of understanding weather events constrained by historical climate variability. This position is full-time (100% FTE) with an initial term appointment of one year (12 months), renewable depending on funding and/or satisfactory performance for a total period of up to 2 years. The salary for this position will be $6,681-$6,761 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. The position is available starting March 6, 2026. The review process will commence immediately...