Assistant/Associate Teaching Professor position at CMU Statistics

The Department of Statistics 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. 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.

Position Title: Assistant/Associate Teaching Professor

Duties and Responsibilities: This position emphasizes teaching, student advising, curriculum development, and supervising collaborative research projects. Rank (assistant/associate) to be determined.

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

Application Instructions: Apply on-line at https://webapps.cs.cmu.edu/FacultyApplication/Statistics. Applicants for this position MUST submit (in .pdf format): cover letter, curriculum vitae, statement of teaching, and names and email addresses of 3-5 individuals who have been asked to provide letters of reference, and are encouraged to also include 1-3 representative papers and a statement of research. Application screening beings immediately, continues until positions close. Women and minorities are encourage to apply. 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. Contact email: Este enderezo de correo está a ser protexido dos robots de correo lixo. Precisa activar o JavaScript para velo.

Application Deadline: December 11, 2015

Department of Statistics
Carnegie Mellon University
Pittsburgh, PA