Postdoctoral Appointee - AI/ML for Particle Accelerators

Develop and deploy AI and machine-learning methods for analysis, tuning and control of particle beams at the Advanced Photon Source, working in the Accelerator Operations and Physics Group on the APS injector and the upgraded storage ring. The project explores large language models and agentic AI to support system analysis and operator decisions, automate complex workflows and make machine tuning, diagnostics and fault response more adaptive, with experiments on the operating accelerators to test the methods.

A PhD in accelerator physics or a related field completed within five years (or soon) is strongly preferred; graduates in other physical sciences, mathematics, computer science or electrical engineering interested in accelerator physics are considered. Strong programming skills in Python and working knowledge of UNIX/Linux; experience with machine learning, accelerator operation, computing clusters and codes such as Elegant and Cheetah is preferred. Stated hiring range: USD 72,879–121,465.