Assistant Professor in Analytics

University of North Carolina at Chapel Hill, Department of Statistics and Operations Research | Chapel Hill, NC, United States

Classification: Analysis and its Applications

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 Analytics at the assistant professor level starting July 1, 2024. Candidates are required to have a doctorate (or foreign equivalent) in statistics, operations research, industrial and systems engineering or a related field, with a focus on data-driven decision making, machine learning or other areas related to analytics. The Department is seeking candidates who have the potential to maintain a strong research program in analytics. A commitment to data-driven, application-oriented and interdisciplinary research will be a positive factor in the consideration of candidates. Duties of this position include teaching, research, and service. 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. We will begin considering candidates after November 3, 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 to apply for this position. For inquiries, please contact Further information about the Department of Statistics and Operations Research is at The University 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.

Last updated: 17 November 2023

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