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Assistant or Associate Professor of Data Science
William and Mary in Williamsburg, Virginia
Date Posted 10/16/2021
Faculty-Science-Other Science
Employment Type
Application Deadline Open until filled

Position Information
Present Position Number F0423W
Role Title Assistant Professor/9-Mth
Position Title Assistant or Associate Professor of Data Science
Position Summary
The Data Science Program at William & Mary, a public university of the Commonwealth of Virginia, seeks applications for a tenure track position at the Assistant or Associate Professor level in Data Science. Appointment will begin August 10, 2022. We are interested in an individual with research and teaching expertise in i) Artificial Intelligence (AI)/Machine Learning (ML) techniques or ii) applications of data science in support of large-scale experiments and simulations performed at Jefferson Lab, a Department of Energy national laboratory.  
The successful applicant is expected to establish and maintain a vibrant externally funded research program with a focus on data science issues in support of the research portfolio undertaken at Jefferson Lab. The successful applicant will inspire a highly motivated graduate and undergraduate student body. Teaching expectation is one course per semester. The successful applicant must be able to teach lecture and seminar-style courses in data science, and contribute to expanding the strong connection between W&M and Jefferson Lab. 
The successful applicant is also expected to contribute to a Data Science unit that builds on the diverse expertise of William & Mary to establish a nationwide leading program. Depending on the particular expertise of the candidate, this Data Science position may carry a joint appointment with Computer Science or Physics as appropriate.
Required Qualifications
Applicants must hold a Ph.D. in Data Science, Information Science, Computer Science, Physics (with extensive experience in Data Science), or a related field by the time of appointment (August 10, 2022). Consideration for the higher rank of Associate Professor requires additional commensurate experience.
Preferred Qualifications
Involvement in teaching or mentoring student research, postdoctoral research experience, familiarity with large scale experiments in Physics.
Conditions of Employment
All staff and faculty must be fully vaccinated against COVID-19. Proof of vaccination must be provided on the employee’s first day of employment. If an accommodation is needed, please contact Human Resources.
Department 3KEA10 Data Science
Location William & Mary
Job Open Date 10/15/2021
Review Begin Date 12/01/2021
Job Close Date
Open Until Filled Yes
Job Category Instructional Faculty
Special Application Instructions
Applicants must apply online at . Submit a curriculum vitae, a cover letter, a statement of research and teaching interests, a statement describing previous professional experience or future plans (or both) that demonstrate a commitment to diversity and inclusion. You will be prompted to submit online the names and email addresses of three references who will be contacted by the system with instructions for how to submit a letter of reference.
For full consideration, submit application materials by the review date, December 1, 2022. Applications received after the review date will be considered if needed.
Background Check Statement
William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check.
EEO Statement
William & Mary values diversity and invites applications from underrepresented groups who will enrich the research, teaching and service missions of the university. The university is an Equal Opportunity/Affirmative Action employer and encourages applications from women, minorities, protected veterans, and individuals with disabilities.
Benefits Summary Statement
William & Mary offers our employees a full array of benefits including retirement, health insurance with options for expanded dental and vision along with group and optional life insurance with coverage for spouse and children, flexible spending accounts, and an EAP (Employee Assistance Program).
Our employees enjoy additional university benefits such as educational assistance, professional development, wellness benefits, and a robust holiday schedule. All employees have access to fitness facilities on campus. Staff members also have access to the university libraries, and much more. To learn more, go to:

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