Postdoctoral Employee - Nuclear Data - Nuclear Engineering Department

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.

Labor Contract: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/px/index.html

PhD or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program.

• 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

• 3 required (contact information only)

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
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• APM - 035: Affirmative Action and Nondiscrimination in Employment