The Earth and Environmental Sciences Area (EESA) at Lawrence Berkeley National Laboratory is seeking a Research Director to lead the research program for the National Alliance for Water Innovation (NAWI). NAWI is a DOE Energy Innovation Hub dedicated to securing America's water future through innovative water treatment technologies and regional water planning.

The Research Director (RD) for NAWI is the research leader of the organization, with responsibility for developing and leading substantive …

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 …

Postdoctoral Scholar

Job #106361

Lawrence Berkeley National Laboratory is hiring a Postdoctoral Scholar within the Energy Geosciences Division.

Talented and experienced PhD researchers are encouraged to apply for this competitive postdoctoral position utilizing universal potentials, machine learning interatomic potentials, atomistic simulations, and computational thermodynamics to understand phase behavior in ionic liquids, solids, and the interfaces between them. The candidate will join a diverse team of researchers from multiple …