Job Title
Faculty in Applications of Physics, Data Science, and/or Engineering to Particle Accelerators (Tenured, F1117A)
OverviewThe Department of Physics and the Center for Accelerator Science at Old Dominion University invite applicants for a tenured Associate or Full Professor position (depending on experience) in Accelerator Science to begin in Fall 2026 as part of a multi‑position hiring initiative for Applications of Physics, Data Science, and/or Engineering to Particle Accelerators
. The appointee will maintain a vibrant, externally funded interdisciplinary research program in accelerator science using artificial intelligence (AI)/machine learning (ML), engineering, physics and related scientific approaches to study accelerator design and development, advanced performance optimization, large‑scale simulations, and control optimization of accelerators using advanced AI/ML techniques. Collaboration with other faculty in Physics, Engineering, the School of Data Science at ODU, and accelerator scientists at Jefferson Lab will be encouraged.
- Teach undergraduate and graduate courses, including for the Virginia Innovative Traineeship in Accelerators (VITA) program and the US Particle Accelerator School (USPAS).
- Advise graduate students.
- Provide service to their department and the University.
- Postdoctoral experience in Accelerator Science or a related field.
- A strong publication record and/or experience with grant‑funded research.
- Research related to understanding and improving the CEBAF accelerator at Jefferson Lab, designing and building the Electron‑Ion Collider (EIC), exploring future nuclear physics accelerators, improving the performance of light sources, developing new concepts for accelerators for nuclear and high‑energy physics, nuclear medicine, or visualization and control of accelerators.
Location:
Norfolk, VA
Open Until Filled:
Yes
Telework Friendly:
No
Submit by October 31, 2025 for full consideration. The position will remain open until filled.
Questions about these positions should be directed to Dr. Sebastian Kuhn (skuhn), Chair of the Applications of Physics, Data Science, and/or Engineering to Particle Accelerators Cluster Hire.
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