The Environmental Science Division at Argonne National Laboratory seeks a highly motivated postdoctoral researcher to advance the understanding and prediction of severe weather using both physics-based and AI/ML approaches. This position focuses on high-resolution Earth system modeling and the analysis of convective storms and weather and hydrological hazards to improve predictability, particularly at subseasonal and seasonal lead times. The successful candidate will lead simulations of convective systems using high-resolution regional and global models, evaluate model performance, and develop innovative approaches to enhance predictive skill. The role also involves integrating AI/ML techniques to advance physical parameterizations and improve severe weather prediction skills.

Key responsibilities include:

+ Conducting high-resolution model simulations of convective storms
+ Contributing to model development using AI/ML approaches in areas such as clouds, turbulenc...