In this exciting role, you will work in the Climate and Ecosystem Sciences Division at Lawrence Berkeley National Laboratory (Berkeley Lab) developing statistical methods to enhance the understanding and predictability of extreme weather and climate processes. The research will connect the underlying physics of atmospheric processes to impactful weather events and quantify the uncertainty among different physical drivers. This work aims to clarify how natural variability and external forces interact using observations and climate model outputs. Expertise in statistical modeling, Bayesian analysis, machine learning, high-dimensional statistics, and computational statistics is essential. You will collaborate with interdisciplinary teams of physical scientists, climate scientists, and computer scientists to advance novel statistical methods in climate science.
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Berkeley Lab is committed to inclusion, diversity, equity and accessibility and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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