[Job-offers-cs] Postdoc Position in optimization and ML at Berkeley Lab

[Pekka Orponen]

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 m.rfer.us/LBLNMD4Bc 
<http://m.rfer.us/LBLNMD4Bc>

Berkeley Lab is committed to Inclusion, Diversity, Equity and 
Accountability (IDEA) and strives to continue buildingcommunitywith 
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 
globalcommunity, 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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