Faculty Search

The Department of Statistics at Carnegie Mellon University 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. Current collaborative applied research projects are helping make fundamental advances in neuroscience, cosmology, networks, finance, genetics, and public policy.

Our faculty members are recognized around the world for their expertise and have garnered many prestigious awards and honors. (For example, three members of the faculty have been awarded the COPSS medal, the highest honor given by professional statistical societies.) 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. Talented graduate students join the department from around the world, and add a unique dimension to the department's intellectual life.

Assistant/Associate Teaching Professor:

Duties & Responsibilities:

This position emphasizes teaching, student advising, curriculum development, and supervising collaborative research projects. Rank (assistant/associate) to be determined. PhD in statistics, biostatistics or related area required.

Position Qualifications:

Ph.D. in statistics, biostatistics, machine learning or related area required.

Tenure-track/Visiting Professor:

Duties and Responsibilities:

Collegial environment emphasizing disciplinary and cross-disciplinary research and teaching. All statistics areas welcome. Joint appointments possible with other units in Pittsburgh area.

Position Qualifications:

Ph.D. in statistics, biostatistics, machine learning or related area required.

Applications and Questions:

Contact (email: hiring@stat.cmu.edu) Apply on-line: https://webapps.cs.cmu.edu/FacultyApplication/Statistics. Application screening begins immediately, continues until positions close. Carnegie Mellon 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.