Faculty in Applications of Physics, Data Science and Engineering to Particle Accelerators
Old Dominion University🇺🇸In-Person$95K–$155K/yri1h ago
Role Snapshot
Tenured Associate or Full Professor position in Accelerator Science at Old Dominion University, leading interdisciplinary research combining physics, data science, and engineering with AI/ML applications to particle accelerator design, optimization, and control. The role includes collaboration with Jefferson Lab and contributions to accelerator education programs.
Key Responsibilities: Conduct externally funded research in accelerator science using AI/ML and physics-based approaches for accelerator design, performance optimization, and control systems. Teach undergraduate and graduate courses including the Virginia Innovative Traineeship in Accelerators (VITA) and US Particle Accelerator School (USPAS), advise graduate students, and provide departmental service.
Skills & Tools: Expertise in particle accelerator science, artificial intelligence/machine learning, physics simulation, and control optimization; strong research leadership, grant writing, and interdisciplinary collaboration capabilities; ability to teach advanced physics and accelerator-specific topics.
Qualifications: Ph.D. in Physics, Engineering, Data Science, or related field with substantial research experience in accelerator science, physics applications, or AI/ML; demonstrated track record of external funding and publication in accelerator physics or related disciplines.
Location: In-Person
Compensation: $95K–$155K/yr (estimated)
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:
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.