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The Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a Postdoctoral Researcher – Scientific Machine Learning & Computational
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developing and running hydrologic and land model simulations and a working knowledge of high-performance computing environments. Specific responsibilities will involve the use of ATS-EcoSIM, a new version of
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computational backbone. You will then transition to PANDORA, an ARPA-E-funded closed-loop AI platform for catalyst discovery targeting CO2 conversion to fuels and chemicals, where the group leads
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Salary range: The posted UC system-wide salary scales set the minimum pay based on prior months of postdoc service (both domestic and international) before the start of appointment. See Table 23 and 23N
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. 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
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sick leave and paid holidays Eight weeks of Postdoctoral Paid Family Leave for qualifying family and parental needs Opportunities to connect, network, and grow through the Berkeley Lab Postdoc
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://academicjobsonline.org/ajo/jobs/31552 , or • Via email to: [email protected] with subject line ‘POSTDOC Position’ Applications will be considered until the position is filled. UC Davis is an Affirmative Action/Equal
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on their research background, interests, and project needs. This position will also provide opportunities to pursue complementary independent research aligned with the scientific priorities of either program in broad
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agencies. The postdoctoral scholar will work closely with the PI, Ranjit Deshmukh, as well as with emLab and CETlab graduate students, postdocs, and lab collaborators. The Environmental Markets Lab (emLab
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data and metadata for both experiments and simulations and store them in the Crucible data platform. Collaborate with experimental and computational researchers to define appropriate metadata, data