DEPARTMENT: Business Analytics
POSITION: Assistant Professor
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Junior Faculty
Tenure-Track Position in Business Analytics
The Tepper School of Business at Carnegie Mellon University seeks candidates for a tenure-track faculty position at the Assistant Professor level in Business Analytics. The ideal candidate will be a main player in the school's analytical approach to business, a long-standing differentiator of the Tepper business education. The ideal candidate will be substantially involved in new research and educational initiatives across disciplines that concern the use of data for decision making. Applicants are expected to have a doctoral degree at the time of appointment (Fall 2015) in Business, Computer Science, Information Systems, Operations Research, Statistics, or another related field. Applicants are also expected to have a strong commitment to and proven record of research excellence involving cutting-edge analytical methods in business.
The Tepper School and Carnegie Mellon University have a strong culture of collaboration across disciplines. This open environment provides unique opportunities for highly innovative work. We expect a “data for decision making” focus to have a large and synergistic overlap with other research areas such as marketing, service and supply-chain management, healthcare management, finance, etc.
Applicants should submit a vita, research statement, up to five publications or working papers, and three recommendation letters to: bapost@andrew.cmu.edu. Material may also be sent via the Postal Service to Ms. Rosanne Christy, Faculty Search Coordinator for Business Analytics, Carnegie Mellon University, Tepper School of Business, Posner 233, 5000 Forbes Avenue, Pittsburgh, PA 15213. If you have any questions about the application, please contact Ms. Christy at 412-268-1320. To ensure full consideration, applications must be received by December 15, 2014. Members of the recruiting committee will attend the INFORMS 2014 annual meeting in San Francisco.
Carnegie Mellon University
considers applicants for employment without regard to, and does not
discriminate on the basis of, gender, race, protected veteran status,
disability, or any other legally protected status.
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