Lawrence Berkeley National Lab's (LBNL) Computational Research Division has an opening for a Postdoctoral Scholar in applying machine learning tools to optimization, sampling and uncertainty quantification in the Center for Computational Sciences and Engineering.
In this exciting role,you will be doing research with a combination of elements of applied mathematics, statistics, machine learning and computational science. The successful applicant will develop, test, and benchmark new algorithms for high-dimensional inference and data analysis, using machine learning models to accelerate computations. The postdoc will also tightly collaborate with Prof. Seljak's group at UC Berkeley.
For more information about the optimization effort in the Center for Computational Sciences and Engineering, please visit
https://optimization.lbl.gov/. More information about research in Prof. Seljak's group can be found at
http://bccp.berkeley.edu.
For full consideration, please apply at
http://m.rfer.us/LBLNMD4BcBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) 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.