Old Dominion University
Norfolk, Virginia, United States
(on-site)
Posted
23 hours ago
Job Type
Full-Time
Min Education
Ph.D.
Job Function
Education
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 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:
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Requirements
A Ph.D. or equivalent in Physics, Computer Science, Mathematics, Engineering, or a closely related field is required.
Interested candidates must complete the online application at https://jobs.odu.edu/postings/23811, including the following:
- A cover letter describing your relevant qualifications and indicating the rank you would like to be considered for.
- A curriculum vitae.
- A statement of teaching philosophy.
- A statement of research interests.
- Unofficial graduate transcripts.
- Contact information for 3 professional references. At the appropriate time in the Search process, these individuals will be contacted by the Search Committee.
The positions will remain open until filled.
Questions about these positions should be directed to Dr. Sebastian Kuhn (skuhn@odu.edu), Chair of the Applications of Physics, Data Science, and/or Engineering to Particle Accelerators" Cluster Hire.
Questions about these positions should be directed to Dr. Sebastian Kuhn (skuhn@odu.edu), Chair of the Applications of Physics, Data Science, and/or Engineering to Particle Accelerators" Cluster Hire.
Job ID: 85983120
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