Carnegie Mellon University, Tepper School of Business
The Tepper School of Business at Carnegie Mellon University seeks a professor in Information Systems for tenure-track appointment, starting September 2013. We invite applications from individuals who are involved in cutting edge research involving information technologies and who are interested in how information technology will transform businesses, markets, and economic processes.
Information Systems Tenure-Track Faculty Position
JOB QUALIFICATIONS: Applicants may hold a doctoral degree in information systems, any other business discipline, computer science, economics, or statistics. We are primarily seeking candidates at the Assistant Professor level. Applicants should have completed or be nearing completion of a Ph.D., and should demonstrate potential for excellence in research and teaching. Teaching assignments encompass BS, Masters, and Ph.D. programs.
Being an innovative technology expert in a leading business school brings unique opportunities for high-impact and highly visible work; collaboration across disciplines is an important part of the culture of the Tepper School and the wider Carnegie Mellon community. This open environment provides opportunities to work with our top-ranked economics and marketing groups and the school of computer science.
APPLICATION PROCEDURE: Applicants should submit a current curriculum vitae, a statement of research interests, a short statement of teaching philosophy, copies of up to four representative publications or preprints, and at least three references through: https://academicjobsonline.org/ajo/jobs/1744
If you have any questions about the application, please contact Mr. Phil Conley (email@example.com, 412-268-6212). Screening begins immediately and candidates are encouraged to submit their completed applications as soon as possible. In order to ensure full consideration, completed applications must be received by November 30, 2012.
Carnegie Mellon is an equal opportunity, affirmative action employer with particular interest in identifying women and minority applicants for faculty positions.