Assistant Professor of Technology, Operations, and Statistics
New York University Department of Technology, Operations, and Statistics
United States


The Statistics Group in the Department of Technology, Operations and Statistics at the Stern School of Business, New York University, invites applications for a tenure-track position at the assistant professor level starting in the 2021-2022 academic year.

Statistics is a multidisciplinary program at the Stern School. The Statistics faculty at NYU Stern have diverse interests and expertise, and share a strong commitment to analytical and field-based research relating to statistical science. For more information about the Statistics program at the Stern School, please visit our website.

Appropriate candidates will have evidence of boundary-spanning interests across fields that reflect significant interfaces of Statistics with areas of relevance in a Business School, such as Information Technology, Operations Management, Marketing, Economics, and Finance. The Statistics Group includes 7 full-time Statistics faculty members and a number of faculty affiliates, and has diverse interests and expertise, including Actuarial Science, Biostatistics, Categorical Data, Computationally Intensive Methodology, Econometrics, High-Dimensional Statistics, Multivariate Statistics, Statistical Machine Learning, Stochastic Processes, and Time Series Analysis.


Candidates should have a PhD, or candidates must have successfully defended their doctoral dissertation prior to appointment, and are expected to be productive researchers and effective teachers at undergraduate, MBA and PhD levels. Experience in classroom teaching is highly desirable. The formal starting date is expected to be September 2021 and there will be no extension beyond this date.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity

Application Instructions

Please submit all application materials by December 15, 2020, to assure full consideration. Applications must include an up-to-date curriculum vitae, three letters of recommendation, and a personal statement describing research and teaching experience (if any) and future plans for both research and teaching. Representative research papers (at most three) should be included if available. 

For questions, please send an e-mail to

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