The Nuclear Data Group and the Bay Area Neutron Group in the Department of Nuclear Engineering at the University of California, Berkeley welcome applications for a postdoctoral scholar in the areas of nuclear reaction modeling, experimental data analysis, and translation and investigation of nuclear decay data. The goal of this work, in collaboration with US DOE National Laboratories, is the development of machine learning (ML) frameworks for expediting and enhancing data analyses from nuclear physics experiments to gain information about nuclear reaction and decay systematics.
Primary responsibilities for this position include the development of computational models to fit experimental data to reaction models, the development of software and application programming interfaces to make decay data accessible for ML tools, and the employment of modern ML methods to gain information about nuclear reactions and decay. Additional responsibilities include validating and verifying models, writing and publishing manuscripts, and communicating research at project review meetings and scientific conferences. The successful candidate will work at the forefront of computational and experimental nuclear physics in a collaborative environment with experimentalists and nuclear data experts at the 88-Inch Cyclotron at LBNL.
Basic qualifications (required at time of application):
Additional qualifications (required at time of start):
Preferred qualifications:
Document requirements:
Reference requirements:
Help contact: leisa@berkeley.edu
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