• Adjunct Faculty Position in Statistics (part-time,…

    New York University (NY)


    The Statistics Group in the Department of Technology, Operations, and Statistics at New York University’s Stern School of Business invites applications for adjunct faculty positions starting in the 2022-2023 academic year. The position requires teaching graduate or undergraduate courses that are held during the day or in the evening.

     

    Statistics is a multidisciplinary program at the Stern School. We are looking for faculty interested in teaching courses at the interfaces of Statistics with areas of relevance in a Business School, such as Information Technology, Operations Management, Marketing, Economics, and Finance. We are also looking for faculty to teach courses in Biostatistics, Categorical Data, Computationally Intensive Methodology, Econometrics, High-Dimensional Statistics, Multivariate Statistics, Statistical Machine Learning, Stochastic Processes, and Time Series Analysis. For more information about the Statistics program at the Stern School, please visit our website.

     

    In compliance with NYC’s Pay Transparency Act, the contact hour rate for this position is in the range of $350-$650. This rate is based on the collective bargaining agreement with Local 7902.

     

    Candidates with a Ph.D. are preferred, and candidates are expected to be effective teachers at undergraduate or MBA levels. Experience in classroom teaching is highly desirable.

     

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

     

    Please submit cover letter, CV and teaching evaluations, 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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