"Associate/Full Professor (Tenured) in Accelerator Science, Data Science, or Electrical/Computer Engineering"

Job Description

Old Dominion University seeks candidates for a senior faculty position as part of a multi-position hiring initiative for Applications of Data Science, Engineering, and/or Physics to Particle Accelerators. (Three junior faculty positions in this area have been filled during the previous year). We seek faculty that will complement ODU’s areas of strategic emphasis, including theory and applications of data science/artificial intelligence (AI)/machine learning (ML) to improving existing and future accelerators, particle colliders and light sources for fundamental research and industrial and medical applications. The appointee will be expected to maintain a vibrant, externally funded interdisciplinary research program in accelerator science using AI/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 data science and/or AI/ML techniques.

The appointee is also expected to teach undergraduate and graduate courses (including for the Virginia Innovative Traineeship in Accelerators [VITA] program and the US Particle Accelerator School [USPAS]) and to provide service to their department and the University. The appointment will be placed in the most appropriate academic department(s) at ODU, which include the Department of Physics, the School of Data Science, and the Department of Electrical and Computer Engineering, and will be affiliated with the Center for Accelerator Science at ODU. 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 strongly encouraged.

Candidates whose research relates 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 are especially encouraged to apply.

We are inviting applications for the following position, starting in Fall 2026:

• Associate/Full Professor (Tenured) in Accelerator Science, Data Science, or Electrical/Computer Engineering.

We are looking especially for a faculty member who can take on a leadership role within the Center for Accelerator Science. Rank will be commensurate with experience and can be either at the Associate or Full Professor level, with tenure.

Preferred and Required Qualifications

A Ph.D. or equivalent in Physics, Computer Science, Data Science, Mathematics, Engineering, or a closely related field, with expertise in the broad field of Accelerator Science, is required. The successful candidate will have a history of a strong, externally funded research program and should demonstrate ability for excellence in teaching and mentoring at the undergraduate and graduate levels. Previous faculty and/or national lab experience is strongly preferred.

Application Details

How to Apply: Interested candidates must complete the online application at https://jobs.odu.edu/postings/23811

All applications should include the following:

1. A cover letter describing your relevant qualifications and indicating the rank you would like to be considered for;
2. A curriculum vitae
3. A statement of teaching philosophy
4. A statement of research interests
5. Unofficial graduate transcripts
6. Contact information for 3 professional references. At the appropriate time within the Search process, these individuals will be contacted by the Search Committee.

Applications should be submitted by October 31, 2025, for full consideration. The positions will remain open until filled. Note that final decisions for departmental affiliations can be negotiated at a later stage; applicants may indicate any one of the three departments/school as their preference. Questions about these positions should be directed to Dr. Sebastian Kuhn (skuhn@odu.edu), Chair of the Applications of Data Science, Engineering, and/or Physics to Particle Accelerators Cluster Hire.

Application Deadline

October 31, 2025