Do you have a passion for combining cutting-edge AI/ML technologies with scientific discovery? Join Berkeley Lab’s prestigious PHAX Group, a leader in computational physics research within the Scientific Data Division, as an AI/ML Research Scientist. In this exciting role, you'll collaborate with experts across multiple disciplines to develop and deploy innovative AI/ML tools that power the next generation of High-Energy and Nuclear Physics (HEP/NP) experiments.
What You’ll Do:
Collaborate with computer scientists, physicists, and mathematicians to advance data science methods for HEP/NP.
Develop and enhance AI/ML tools for next-gen HEP/NP experiments, including uncertainty-aware learning and foundation models.
Mentor postdocs and students, fostering the next wave of scientific talent.
Lead research efforts to transform emerging AI/ML trends into impactful solutions for HEP/NP.
Drive independent projects and contribute to large-scale efforts that demand creativity, ingenuity, and problem-solving.
What’s Required:
Ph.D. in physics, computer science, statistics, or related fields (or equivalent experience).
Proven experience with AI/ML development and tools like TensorFlow, PyTorch, or JAX.
Deep understanding of anomaly detection, high-dimensional data analysis, and simulation models.
Track record of developing open-source AI/ML software and publishing research.
Ability to thrive in a cross-disciplinary team and communicate complex ideas clearly.
What’s Desired:
Experience with HEP/NP tools (e.g., Geant4, ROOT).
Familiarity with high-performance computing systems and optimization techniques.
Why Berkeley Lab?
Join a team that fosters innovation and professional growth in an environment that values diversity, inclusion, and excellence.
Competitive salary range: $92,701 – $222,474, with a targeted salary of $123,605 to $173,027.
Hybrid or on-site work at Berkeley Lab (Berkeley, CA).
Be part of a mission that drives world-leading scientific discovery!
About Berkeley Lab:As a proud Equal Opportunity and Affirmative Action Employer, we encourage applications from diverse candidates who can contribute to our mission. At Berkeley Lab, we support innovation, trust, respect, and collaboration to tackle the most pressing scientific challenges.
