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2027-2028 Assistant Professor of Technology, Operations, and Statistics (Statistics Group) (full-time, tenure-track)

New York University

New York, NYFull-time$145–235K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$145–235K/yr
Location
New York, NY
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

The Statistics Group in NYU Stern’s Department of Technology, Operations and Statistics invites applications for a tenure-track Assistant Professor position starting in the 2027–28 academic year. Candidates should have boundary-spanning interests connecting statistics with business-school fields. The role involves research and teaching at undergraduate, MBA, and PhD levels. A PhD or successful dissertation defense before appointment is required; classroom teaching experience is highly desirable.

Skills & qualifications

RequiredNice to have

Skills

ResearchTeachingClassroom TeachingBoundary-Spanning Interests

Qualifications

PhD or Dissertation DefenseClassroom Teaching Experience

Full job description

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 2027-28 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 8 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, Reinforcement Learning, Statistical Machine Learning, Stochastic Processes, and Time Series Analysis.

In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $145,000 - $235,000. This pay range represents base pay only (for 9 months) and excludes any additional items such as incentives, bonuses, clinical compensation, or other items. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.

Candidates should have a PhD, or 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 1, 2027. However, a 1-year delay may be considered for the purpose of a postdoctoral appointment.

Please submit all application materials by November 15, 2026, 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 as well as future plans for both research and teaching. Representative research papers (at most three) should be included if available.

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.

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