The Earth and Environmental Sciences Area at Lawrence Berkeley National Laboratory (LBNL) seeks a postdoctoral researcher to develop and curate unique and cutting-edge AI-ready data for the U.S. Department of Energy’s ESS-DIVE repository.

The DOE Biological and Environmental Research (BER) program produces uniquely valuable datasets increasingly used in AI/ML, but many are not AI-ready due to inconsistent formatting, missing metadata, or incompatible file types.

The selected candidate will join …

We seek a Staff Scientist with expertise in extreme weather and subseasonal-to-decadal predictability, a strong leadership record in climate and atmospheric science, and experience applying AI/ML to forecasting challenges. The ideal candidate is an interdisciplinary researcher who will lead studies of extreme weather in the context of interannual variability and short-term predictability, using AI/ML to improve prediction and interpretation. Berkeley Lab and the University of California system value …