Postdoctoral Appointee - AI/ML for Particle Accelerators
Core
Develop and deploy advanced AI/ML methods for analysis, tuning, and control of particle beams and accelerator systems, including using agentic AI for intelligent system analysis and adaptive machine tuning.
Role type
Postdoctoral Researcher (AI/ML for Particle Accelerators)
Builds
AI/ML models and agentic AI workflows for accelerator operation and diagnostics
Domain
Particle Physics / Accelerator Physics / Machine Learning
Deliverable
production ML models
Required skills
Python programming, UNIX/Linux proficiency, machine learning, complex algorithms, accelerator physics or related physical sciences background
Preferred skills
accelerator operation experience, computing clusters for simulation, accelerator modeling and simulation codes (Elegant, Cheetah), SDDS, Tcl/Tk
Technologies
Python, UNIX, Linux, Elegant, Cheetah, SDDS, Tcl/Tk
Responsibilities
Develop AI/ML methods for beam analysis and system tuning; Deploy agentic AI to support operator decision-making and automate workflows; Conduct experimental work on APS injector and storage ring to test methods
Seniority
Postdoctoral, research-focused IC