Available Faculty Positions

October 3, 2022
Faculty Positions

The Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill has openings for two tenure-track positions at the assistant professor level in the areas of optimization and theoretical statistics starting July 1, 2023.

The department and university are committed to diversity, equity and inclusion, advancing the ideals espoused at https://diversity.unc.edu. We welcome applications from candidates who will add to the department’s diversity.

The University of North Carolina at Chapel Hill is an equal opportunity, affirmative action employer and welcomes all to apply without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation or veteran status.

We will begin considering candidates after November 1, 2022, and will continue accepting applications until the position is filled. The application package should include a cover letter, an up-to-date curriculum vitae, research and teaching statements, representative papers, and a graduate transcript. Applicants should arrange for four letters of recommendation. At least one of the letters should include an evaluation of the applicant’s teaching ability. Application materials and letters must be submitted in electronic form only.

Assistant Professorship in Optimization

The department is seeking candidates with a doctorate in a relevant field, strong training in mathematical optimization, and the potential to maintain a strong research program in this area. The successful candidates will be comfortable with teaching courses at both undergraduate and graduate levels in the department at the intersection of their expertise and the needs of the department. A commitment to application-oriented and interdisciplinary research, and to interaction with other groups in the department will be a positive factor in the consideration of candidates.

Assistant Professorship in Statistics

Candidates are required to have a doctorate in statistics or a related field by the start date of the appointment. The Department is seeking candidates who have strong training and an established research record in theoretical statistics or theoretical machine learning. The successful candidate will be comfortable with teaching courses in theoretical statistics at the undergraduate and graduate levels, as well as introductory courses in the department. The potential for interaction with other groups in the department and the university will be a positive factor in the consideration of candidates.