The Argonne National Laboratory at U.S. Department of Energy supported research programs invites applications for a Postdoctoral Research Associate position focused on understanding the relative role of land–atmosphere interactions in S2S predictability; impacts on boundary layer processes, aerosol-cloud interactions, precipitation, and hydrological extremes, including feedback mechanisms that influence the development, intensification, and persistence of extreme events, using observational datasets, machine learning, and Earth system modeling.

The successful candidate will work with observational and modeling teams using data from the Atmospheric Radiation Measurement (ARM) User Facility including the Bankhead National Forest (BNF) and Desert-Urban System Integrated Atmospheric Monsoon (DUSTIEAIM) observational datasets, together with advanced modeling frameworks such as Energy Exascale Earth System Model (E3SM) or data-driven AI models.

**Position Requirements**
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