Faculty in Applications of Data Science to Particle Accelerators (Tenure Track/Tenured)

The School of Data Science at Old Dominion University invites applicants for a tenure track/tenured position (depending on experience) in Data Science to begin in Fall 2025 as part of a multi-position hiring initiative for Applications of Data Science, Engineering, and/or Physics to Particle Accelerators. This position is expected to be made at the rank of Assistant Professor, but an appointment at a higher level will be considered for exceptionally qualified candidates. We seek faculty that will lead the development of data science/artificial intelligence (AI)/machine learning (ML) theory and applications to the broad accelerator science areas including improving existing and future accelerators, particle colliders, and light sources for fundamental research and applications in industry and medicine.

The appointee will develop and maintain a vibrant, externally funded interdisciplinary research program in artificial intelligence AI/ML and data science with focused application area to accelerator science research topics, including inverse problems in accelerator design and development, control of complex systems, uncertainty quantification in accelerator science, digital twins of accelerators, data reduction and representation learning, learning in extremely high-dimensional data, and other closely related advanced AI/ML and data science areas. Collaboration with other faculty in the School of Data Science, Physics, Engineering, as well as data scientists and accelerator scientists at the nearby Thomas Jefferson National Accelerator Facility (Jefferson Lab) is expected.

Other Responsibilities: