Postdoctoral Position in Historical Climate Extreme Events and Machine Learning Models University of Washington in United States

A new postdoctoral position is available in Professor Greg Hakim's group at the University of Washington, focusing on the investigation of extreme events in historical climate. The research aims to understand the range and variability of extreme weather events such as heatwaves, coldwaves, and tropical cyclones, using reconstructions of the climate over the last millennium. The project leverages machine-learning weather models to sample and analyze these extreme events, conditioned on the prevailing climate state.

This postdoc will join a larger collaborative team spanning three universities, all working towards a common goal of understanding weather events as constrained by historical climate variability. The position is fully funded by a grant from the Heising-Simons Foundation, providing a stable research environment and opportunities for interdisciplinary collaboration.

Applicants should have a PhD in atmospheric science, climate science, environmental science, or a related discipline. Experience with machine learning, weather modeling, or climate data analysis is highly desirable, along with strong programming skills and the ability to work effectively in a team setting. The announcement does not specify particular GPA or language test requirements.

To apply, candidates should submit their application through the Interfolio portal linked below. This is an excellent opportunity for researchers interested in climate science, extreme weather, and the application of machine learning to environmental data.