AI/ML Career Track Research Scientist

at  Lawrence Berkeley National Laboratory

In this exciting role, you will work in Berkeley Lab’s (LBNL) PHAX group in the Scientific Data Division. The PHAX group is a leader in computational physics research and software development across High-Energy and Nuclear Physics (HEP/NP)experiments. You will play a leading role in the development, adaptation, and deployment of Artificial Intelligence and Machine Learning (AI/ML) tools across HEP/NP experiments.

DESIRED QUALIFICATIONS:

• Experience with common HEP/NP software (Geant4, ROOT, etc).
• Experience with high-performance computing systems and software optimization.

WHAT YOU WILL DO:

• Collaborate with computer scientists, physicists, and mathematicians at LBNL on developing data science methods and software for HEP/NP.
• Contribute to one or more of the group’s ongoing projects, including developing methods for uncertainty-aware learning and building foundation models for HEP/NP.
• Contribute to the research and development of AI/ML tools for the next generation of HEP/NPexperiments.
• Mentor postdoctoral researchers and graduate students working on related projects.
• Stay abreast of new and emerging AI/ML trends, through R&D collaborations, literature, workshops and conferences; translate these into new directions for HEP/NP
• Excellent oral and written communication skills.
• Demonstrated ability to work effectively as part of a cross-disciplinary team.
• Develop solutions to complex problems that require regular use of ingenuity and creativity.
• Independently plan and complete small projects and contribute to large projects choosing appropriate methods.
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

ADDITIONAL RESPONSIBILITIES AS NEEDED:

• Identify and contribute to scientific projects that require significant computing and develop new workflows to assist these projects.
• Identify and propose new research projects aligned with the group’s priorities. Contribute to relevant research proposals.
• Assist in the coordination of these efforts within LBNL.