Overview
On Site
Full Time
Skills
Academic Administration
FLSA
Recruiting
Performance Tuning
Optimization
Artificial Intelligence
Machine Learning (ML)
Collaboration
Data Science
Science
Research
Energy
Physics
Visualization
Job Details
Title: Faculty in Applications of Physics, Data Science and/or Engineering to Particle Accelerators (Tenured, F1117A
Agency: ACADEMIC AFFAIRS
Location: Norfolk, VA
FLSA:
Hiring Range:
Full Time or Part Time:
Additional Detail
Job Description:
The 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/or related scientific approaches to study topics such as accelerator design and development, advanced performance optimization and analysis of accelerators, large-scale simulations of accelerator performance, and control optimization of accelerators using advanced AI/ML techniques. Collaboration with other faculty in Physics, Engineering, and the School of Data Science at ODU as well as accelerator scientists at the nearby Thomas Jefferson National Accelerator Facility (Jefferson Lab) will be encouraged.
Other Responsibilities:
Additional Considerations:
Agency: ACADEMIC AFFAIRS
Location: Norfolk, VA
FLSA:
Hiring Range:
Full Time or Part Time:
Additional Detail
Job Description:
The 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/or related scientific approaches to study topics such as accelerator design and development, advanced performance optimization and analysis of accelerators, large-scale simulations of accelerator performance, and control optimization of accelerators using advanced AI/ML techniques. Collaboration with other faculty in Physics, Engineering, and the School of Data Science at ODU as well as accelerator scientists at the nearby Thomas Jefferson National Accelerator Facility (Jefferson Lab) will be encouraged.
Other Responsibilities:
- 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.
Additional Considerations:
- Postdoctoral experience in Accelerator Science or a related field
- A strong publication record and/or experience with grant-funded research.
- Research relating 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 and other applications, or visualization and control of accelerators.
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