Positions in the Information Systems Group
The Information Systems faculty 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 all levels starting in the 2018-2019 academic year.
The Information Systems faculty is a multidisciplinary group of computer and design scientists, economists, behavioral scientists, and data scientists. It has a vibrant PhD program with a history of successful placements at top schools. Our faculty, students and scientists have won numerous awards for their research and scholarship over the last decade.
We are especially interested in candidates with discipline-spanning interests whose work complements the research programs of our existing faculty in areas that include, but are not restricted to: Business Analytics, Computational Social Science, Crowdsourcing/Crowdfunding, Data Science, Digital Marketing, Digital Strategy, Labor Markets, Network Science, Online Marketplaces, Open Innovation, Predictive Modeling, Recommender Systems and the Sharing Economy.
A candidate should have a Ph.D. or be assured of its completion within one year of September 2018, and is expected to be an outstanding researcher and teacher at both the undergraduate and graduate levels.
Please go to apply.interfolio.com/45005, Stern’s faculty application system, to apply. For questions, please send email to email@example.com. You should submit all application materials by December 15, 2017 to assure full consideration. We encourage you to apply early. To participate in our INFORMS CIST 2017 screening interviews, you must apply by October 1, 2017. To participate in our ICIS 2017 and WISE 2017 screening interviews, you must apply by November 15, 2017.
New York University and the Stern School of Business is committed to building a diverse faculty and invites applications from women, people with disabilities and members of minority groups.
EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity