Position Description The Department of Statistics & Data Science at Carnegie Mellon University invites applicants to apply for tenure-track faculty positions, at all ranks, at its Pittsburgh, Pennsylvania campus. The Department of Statistics & Data Science at Carnegie Mellon University (www.stat.cmu.edu) is world-renowned for its contributions to statistical theory and practice. Research in the department runs the gamut from pure mathematics to the hottest frontiers of science. Our faculty members are recognized around the world for their expertise and have garnered many prestigious awards and honors. (For example, two current members of the faculty have been awarded the COPSS medal, the highest honor given by professional statistical societies.) Current collaborative research by our faculty is helping to make fundamental advances in neuroscience, cosmology, networks, finance, genetics, public policy, high-dimensional inference, and theory and methods at the intersection of statistics and machine learning. The Department augments all these strengths with a friendly, energetic working environment; exceptional computing resources; and strong research ties with other units on campus and across the nation. Talented graduate students join the department from around the world and add a unique dimension to the department's intellectual life. We welcome applicants from all areas of statistics. Joint appointments with other units in the Pittsburgh area are possible. Duties and Responsibilities: Tenure-track faculty are expected to develop an independent research program in statistics, with complete freedom to pursue all areas of statistical science. There are many opportunities to continue the department's tradition of cross-disciplinary collaboration. The department is looking for candidates who will develop to take leadership in their area and make a significant impact in their work. Tenure-track faculty are also expected to teach, and both junior and senior faculty teach classes at all levels, from introductory statistics to advanced graduate courses. While teaching loads cannot be guaranteed, they have typically been one course per semester for many years. New faculty are not expected to bring in grants or to advise Ph.D. dissertations during their first few years on the tenure track, though they are welcome to do so.
A Ph.D. is required, in statistics, biostatistics, machine learning, or a related area.
About Department of Statistics & Data Science, Carnegie Mellon University
The Department of Statistics & Data Science at Carnegie Mellon University is world-renowned for its contributions to statistical theory, practice and teaching. We have an active undergraduate program widely recognized for its excellence, with a large number of undergraduate majors and popular joint undergrad programs in statistics and economics, and statistics and machine learning. We also have tw...o successful Master's programs and a thriving Ph.D. program that attracts outstanding students from around the world.
Our faculty members are recognized internationally for their expertise and have garnered many prestigious awards and honors. At the same time, the faculty is firmly dedicated to undergraduate education. The entire faculty, junior and senior, teach courses at all levels. The faculty are accessible and are committed to involving undergraduates in research. The Department augments all these strengths with a friendly, energetic working environment and exceptional computing resources.