Job Opportunities API

Classification: Probability and Statistics 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 all areas of probability at the assistant professor level starting July 1, 2024. Candidates are required to have a doctorate (or foreign equivalent) in Mathematics, Statistics or a related field with a focus in the area of probability theory by the start date of the appointment. The Department is seeking candidates who have strong training and an established research record in probability. Duties of this position include teaching, research, and service. The successful candidate will be comfortable with teaching courses in probability and related areas 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. We will begin considering candidates after October 30, 2023, 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 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/266028. to apply for this position. Questions should be directed to the Statistics and Operations Research Faculty Search Committee at [email protected]. Further information about the Department of Statistics and Operations Research is at http://stor.unc.edu. 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.