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The Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill has an opening for a tenure-track position in the area of statistics at the assistant professor level starting July 1, 2025.

 

Candidates are required to have a doctorate (or foreign equivalent) 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 statistics or machine learning. The successful candidate will be comfortable with teaching courses in theoretical and applied 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.

 

The University of North Carolina serves the full complement of citizens of this state, and beyond. We welcome candidates who will build a culture and community within the university to effectively and equitably engage students, faculty, staff, citizens, elected officials, and other stakeholders who hail from across the state and beyond.

 

We will begin considering candidates after November 1, 2024, 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 list of relevant graduate courses taken. Applicants should also 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 of recommendation must be submitted in electronic form only; click on https://unc.peopleadmin.com/postings/289069 to apply for this position.

Questions should be directed to the Statistics and Operations Research Faculty Search Committee at STOR-STAT@unc.edu.  Further information about the Department of Statistics and Operations Research is at http://stor.unc.edu.