Assistant/ Associate/ Full (Open Rank) Professor – Information Systems

The Heinz College of Information Systems and Public Policy at Carnegie Mellon University is seeking outstanding candidates for an Open-Rank Tenure-Track position at the Assistant/ Associate/ Full Professor level in Information Systems. We are interested in candidates whose research and teaching are in the following areas (broadly defined):  1) Economics of Information Systems, Digitization and AI, 2) Managerial and Societal implications of Technologies (e.g., Information Technologies, AI), 3) Digital Privacy/ Information Security, 4) Technology and Policy, 5) Human-Centered AI,  and related topics. We welcome applications from candidates who will have earned their PhD by summer 2026, as well as from candidates currently in postdoctoral or tenure-line faculty positions. The position will start in the Fall of 2026.

The Heinz College

The Heinz College at Carnegie Mellon University is home to two top-ranked schools: the School of Information Systems and Management and the School of Public Policy and Management. The College was awarded the UPS George D. Smith Prize for educational excellence in Analytics and is the only academic institution that has won both the Von Neumann Theory Prize for research and the UPS Prize for educational excellence from INFORMS. The College is a center of excellence for research on issues that span people, policy, and technology, and has deep strengths in combining data science with decision science and social science. The Information Systems, Information Security, and Public Policy programs aim to educate individuals who take intelligent action, utilizing technology and analytics to address significant societal issues. Carnegie Mellon University’s Block Center for Technology and Society is also housed at Heinz College. The Block Center is dedicated to the interdisciplinary study of the societal consequences of technological change as well as innovative policy interventions that ensure the benefits of technological change are shared across society. We value collaboration and collegiality in all our endeavors and are committed to advancing the social good. 

The Position

A successful candidate will have strong application interests and conduct outstanding research in 1) Economics of Information Systems, Digitization and AI, 2) Societal implications of Information Technologies and AI, 3) Digital Privacy/ Information Security, 4) Technology and Policy, 5) Human-Centered AI,  and will contribute to our excellence in multi-disciplinary research at the intersection of data science, social science, and decision science. We welcome applications from candidates who will earn their PhD by the summer of 2026, as well as candidates currently in faculty or postdoctoral positions. We are seeking candidates with strong backgrounds in one or several related fields (including Information Systems, Economics, Management, Marketing, Computational Social Science, or Computer Science) who are interested in investigating topics in technology, social science, and policy. Empirical quantitative backgrounds are particularly desirable, and so is the ability to collaborate with other scholars and units on campus on interdisciplinary research. A successful candidate will publish in leading peer-reviewed academic journals and/or top conference proceedings; teach graduate and undergraduate courses and mentor students; secure extramural research federal funding; and contribute to school/college/university service. The college is home to multiple centers that support high-quality, funded research (https://www.heinz.cmu.edu/faculty-research/research-centers).  Heinz College is committed to fostering an academic community that draws strength from a wide range of perspectives and experiences. We welcome candidates whose teaching, research, and professional engagement reflect a commitment to collaboration, curiosity, and broad participation in academic and public life.

• Holds a Ph.D. in Information Systems, Economics,  Management, Marketing, Computer Science, Computational Social Science, or a related field.
• Strong research skills and focus on publishing in leading academic journals and/or top conference proceedings
• Commitment to high-quality education
• Strong interest in securing extramural funding

Applications will be processed on a rolling basis and accepted until March 31st, 2026. Initial review of applications will begin on October 20, 2025. Applications should include a cover letter, a CV, a research statement, a teaching statement, representative articles, and three letters of reference. 

If you have questions, please contact Ananya Sen at ananyase@andrew.cmu.edu.

Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

About Carnegie Mellon University

Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.

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