Postdoctoral Appointee - AI/ML for Particle Accelerators
$72,879–$121,465 year
On-siteLemont, Illinois, United States
Job Summary
Develop and deploy advanced AI/ML methods for analysis, tuning, and control of particle beams and accelerator systems, with applications to the APS injector and newly-upgraded APS storage ring. Explore applications of large language models and agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable adaptive approaches to machine tuning, diagnostics, and fault response. Conduct experimental work on the existing APS injector accelerator complex and the new APS storage ring to test methods and assess their usefulness for accelerator operation. This multi-year postdoctoral appointment within the Accelerator Operations and Physics Group focuses on translating science into innovation for clean energy and national security.
Required Qualifications
- PhD completed in the past 5 years or soon-to-be completed in accelerator physics or a related field
- Strong programming skills
- Proficiency in the Python programming language
- Working knowledge of UNIX or Linux
Desired Qualifications
- Experience with machine learning and accelerator operation
- Experience working with complex algorithms
- Experience using computing clusters for simulation and data analysis
- Experience with accelerator modeling and simulation codes, such as Elegant and Cheetah
- Experience with SDDS, Tcl/Tk, and scripting in Linux environment
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