Assistant Professor

The School of Computing, Data Sciences, and Physics at William & Mary, a public university of the Commonwealth of Virginia, seeks applications for an Assistant Professor. We are primarily interested in individuals with experience in data visualization, data analytics (including artificial intelligence and machine learning, network analysis, natural language processing), data policy and ethics, data engineering (especially high velocity data acquisition), and large scale simulations and modeling in support of diverse applications. Exceptional applicants from other areas of data science may also be considered. Successful applicants will be expected to establish and maintain a vibrant externally funded research program that inspires a highly motivated graduate and undergraduate student body, and to take advantage of the collaboration opportunities that W&M is offering. Teaching expectation is one course per semester. Successful applicants should have a broad knowledge of data analytics, with a strong interest in teaching to multidisciplinary, liberal arts audiences, including students in disciplines both inside and outside of traditional STEM areas. They are expected to contribute to a data science unit that builds on the diverse expertise of William and Mary to establish a nationwide leading program. This position requires a PhD (or foreign equivalent) in data science, information science, computer science, or related field. Employer will consider applicants who will have completed the PhD by the time the appointment begins on 08/09/2026. To apply, submit CV to datascience@wm.edu.