NYU Stern

Positions in the Statistics Group:


The Statistics Group in the Department of Information, Operations & Management Sciences at the Stern School of Business, New York University, invites applications for a tenure-track position at the assistant professor level starting in the 2016-2017 academic year.

Statistics is a multidisciplinary program at the Stern School.  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 Data Mining, Marketing, Economics, Finance, and Operations. The Statistics Group includes 9 full-time Statistics faculty members and a number of faculty affiliates, and has diverse interests and expertise, including Actuarial Science, Categorical Data, Computationally Intensive Methodology, High-Dimensional Statistics, Econometrics, Multivariate Statistics, Network Data, Stochastic Processes, and Time Series Analysis.

A candidate should have a Ph.D. or be assured of its completion within one year of the 2016-17 academic year, and is expected to be a productive researcher and effective teacher at both the undergraduate and graduate levels.  Experience in classroom teaching is highly desirable.  Candidates with significant experience in teaching may also be considered for a one-year contract appointment as visiting faculty at the assistant professor level.

Please submit all application materials by December 15, 2015, to assure full consideration.

Please go to apply.interfolio.com/30831, to apply.  For questions, please send an e-mail to ioms@stern.nyu.edu.

For information about the Statistics program at the NYU Stern School of Business, visit our website at http://www.stern.nyu.edu/ioms.

New York University is an equal opportunity/affirmative action employer and committed to building a culturally diverse educational environment.  In keeping with this commitment, NYU invites applications from women, people with disabilities and members of minority groups.