AI/ML Postdoc for Accelerator Tuning & Diagnostics

argonne; Lemont (IL); On-site; USD 72,879 - 121,465; Full time

Job summary

Argonne National Laboratory in Lemont, IL, invites applications for a Postdoctoral Researcher in artificial intelligence and machine learning for advanced tuning and diagnosis of particle accelerators. The position focuses on developing AI/ML methods to analyze, tune, and control beams, with applications to the APS injector and upgraded storage ring.

Candidates will explore agentic AI, test methods on the existing accelerator complex, and work toward autonomous workflows and fault response.

Qualifications

• PhD completed within 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.

Responsibilities

• Develop and deploy advanced AI/ML methods for analysis, tuning, and control of particle beams and accelerator systems.
• Apply AI/LLMs to accelerators, enabling intelligent system analysis and operator decision support.
• Test methods on the existing APS injector and the upgraded storage ring to assess usefulness.
• Explore autonomous workflows and fault response for accelerator operation.

Skills

Programming

Python

Unix/Linux

Machine learning

Accelerator operation

Algorithms

Cluster computing

Education

PhD in accelerator physics

PhD in related field (math/CS/EE)

Tools

Elegant

Cheetah

SDDS

Tcl/Tk

Linux scripting

Job description

Argonne National Laboratory in Lemont, IL, invites applications for a Postdoctoral Researcher in artificial intelligence and machine learning for advanced tuning and diagnosis of particle accelerators. The position focuses on developing AI/ML methods to analyze, tune, and control beams, with applications to the APS injector and upgraded storage ring.

Candidates will explore agentic AI, test methods on the existing accelerator complex, and work toward autonomous workflows and fault response.