Faculty In Applications Of Physics, Data Science And/Or Engineering To Particle Accelerators (Tenured, F1117A

Commonwealth Of Virginia; Norwich; On-site; GBP 90,000 - 135,000; Full time

Job summary

Old Dominion University invites applications for a tenured Associate or Full Professor position in Accelerator Science as part of a multi-position initiative for Applications of Physics, Data Science, and/or Engineering to Particle Accelerators.

The appointee will lead an externally funded interdisciplinary research program in accelerator science using AI/ML, engineering, physics and related approaches to study accelerator design, performance optimization, simulations, and control.

Qualifications

• Postdoctoral experience in Accelerator Science or related field.
• Strong publication record and/or grant-funded research.
• Research related to accelerator design, performance optimization, or control using AI/ML.

Responsibilities

• Teach undergraduate and graduate courses related to accelerator science.
• Provide service to the department and the university.

Skills

AI/ML in accelerator science

Interdisciplinary research

Grant-funded research

Job description

Title: Faculty in Applications of Physics, Data Science and/or Engineering to Particle Accelerators (Tenured, F1117A

Agency: ACADEMIC AFFAIRS

Location: Norfolk, VA

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 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).
• Provide service to their department and the University.

Minimum Qualifications

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.