Postdoctoral Nuclear Data Nuclear Engineering Department
Listed on 2026-02-28
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Research/Development
Research Scientist, Data Scientist, Postdoctoral Research Fellow
Postdoctoral Employee
Postdoctoral Employee Nuclear Data Nuclear Engineering Department
Position overviewPosition title:
Postdoc Employee
The UC postdoc salary scales set the minimum pay determined by experience level the following table for the current salary scale for this position: https://(Use the "Apply for this Job" box below). A reasonable estimate for this position is between $75,000 and $85,000.
Percent time100%
Anticipated startSpring 2026
Position durationTwo years with the possibility of renewal depending on performance and availability of funding
Application WindowOpen date:
January 9, 2026
Most recent review date:
Friday, Jan 23, 2026 at 11:59pm (Pacific Time). Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date:
Saturday, Feb 28, 2026 at 11:59pm (Pacific Time). Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
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.
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Qualifications Basic qualificationsPhD or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program.
Additional Qualifications- Ph.D. or equivalent international degree
- The candidate should have no more than three years of post‑degree research experience.
- Demonstrated proficiency with computational tools for nuclear science applications, e.g., ROOT, GEANT4, TALYS
- Familiarity with nuclear data libraries, including ENDF, ENSDF, and EXFOR
- Skills in C++ and/or Python programming
- Familiarity with machine learning methods and labeled data formats, e.g., JSON, XML
- Superior academic performance
- Ability to be self‑directed within broadly defined limits
- Excellent communication skills, both oral and written
- Curriculum Vitae - Your most recently updated C.V.
- Cover Letter
- 3 required (contact information only)
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