Postdoctoral Fellow: ML for autonomous materials discovery
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/) has an opening for a Postdoctoral Scholar to develop and apply machine learning, optimization, and sampling tools to autonomous materials discovery. You will be part of the Applied Computing for Scientific Discovery Group, which has a focus on enabling scientific discovery through the development of advanced software applications, tools, and libraries in key DOE mission areas, as well as the development of scientific computing applications and capabilities for the integration and analysis of complex data from simulation and experiment. In this position, you will play an integral role in a multidisciplinary team that includes scientists from energy technologies, physical sciences, and computational sciences. You will actively contribute to ACSD’s efforts in machine learning, optimization, and sampling to enable accelerated materials discovery and manufacturing scale-up.

This position is a research position combining elements of applied mathematics, optimization, statistics, machine learning, and computational science. The successful applicant will develop, test, and benchmark new optimization models, active learning and sampling strategies, and machine learning models that will close the feedback loop for automated materials discovery. A strong background in high performance computing and programming is a must.
RequirementsWhat is Required: • Ph.D. in Applied Mathematics, Statistics, Machine Learning, Computational Science or related areas within the last 3 years, with a strong research background in machine learning, numerical optimization, and programming. • Demonstrated research experience in the development and/or application of machine learning and computational optimization algorithms. • Excellent Python programming skills. • Demonstrated experience working on high performance computing. • Ability and desire to work as part of an energetic cross-disciplinary team. • Excellent oral and written communication skills. • Strong interpersonal communication skills.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) 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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2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
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