Tenure Track/Tenured Faculty in Applications to Particle Accelerators

Old Dominion University seeks candidates for three faculty positions as part of a multi-position hiring initiative for Applications of Data Science, Engineering, and Physics to Particle Accelerators. 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. Appointed faculty will be expected to develop/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.

Appointees are also expected to teach undergraduate and graduate courses, and to provide service to their department and the University. All appointments will be placed in the most appropriate academic department(s) at ODU, which might include Physics, Data Science, and/or Electrical and Computer Engineering, and can 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 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 positions, starting in Fall 2025:

• 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 and/or the School of Data Science. 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. Rank will be commensurate with experience and can be either at the Associate or Full Professor level, with tenure.
• Assistant Professor (Tenure Track) in Accelerator Science, Data Science, or Electrical/Computer Engineering. The successful candidate will develop a strong externally funded research program and should demonstrate experience indicative of their ability or interest to teach and/or mentor at the undergraduate and graduate levels. 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. Postdoctoral experience is strongly preferred.

How to Apply: Interested candidates must complete the online application for the field they are interested in at its corresponding webpage, listed below:

• Data Science: https://jobs.odu.edu/postings/21861
• Electrical & Computer Engineering: https://jobs.odu.edu/postings/21875
• Physics: https://jobs.odu.edu/postings/21837

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 December 18, 2024 for full consideration. The positions will remain open until filled. Note that final decisions for departmental affiliations can be negotiated at a later stage; any one of the three departments can serve as the initial application recipient. 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.

For the Electrical & Computer Engineering position: A Ph.D. or equivalent in Electrical Engineering, Computer Engineering, or a closely related field is required.

Candidates applying for a senior faculty appointment (Associate Professor or Professor) must also have the following:
Academic records that merit a tenured appointment in the Department of Electrical & Computer Engineering at ODU.
A successful record in research and externally funded grants.
Demonstrated ability to interact and communicate clearly with internal and external constituencies.

The preferred qualifications include:

• A strong publication record and/or experience with grant-funded research.
• Postdoctoral experience.
• Research including the engineering of particle accelerators and applications of accelerators and light sources for fundamental research and applications in industry and medicine, as well as other applications, or visualization and control of accelerators.
• Expertise in AI/machine learning, visualization, and control of accelerators.

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