The Department of Statistics at the University of Pittsburgh invites applications for one Teaching Assistant Professor position to begin in Fall 2025, pending budgetary approval. The position is outside the tenure stream, with the expectation of rolling multi-year contract renewals for the successful teaching faculty.
The normal teaching load is three courses each semester. Reductions in teaching may be possible depending on approved non-instructional activities supported by the teaching faculty. Additional information about the department is at www.stat.pitt.edu. For informal inquiries about this position, contact Dr. Yu Cheng at yucheng@pitt.edu.
Applicants should send a detailed cover letter, a curriculum vitae, a diversity statement, and a teaching portfolio (with a statement of teaching philosophy, sample course syllabi, assignments, and evaluations of teaching by students or supervisors) by applying to the Talent Center requisition. Applicants should also arrange for three letters of recommendation to be sent to pittstat@pitt.edu. A review of completed files will begin on December 1, 2024, and continue until the position is filled.
Applicants should arrange for three letters of recommendation to be sent to pittstat@pitt.edu.
The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.
Minimum qualifications are that candidates should have earned their Ph.D. in Statistics or a closely related discipline by Fall 2025, have demonstrated excellence in teaching undergraduate courses, be capable of teaching applied master’s courses, and have an interest in innovative instruction.
Our research strengths, aside from traditional interests in multivariate analysis, reliability, meta-analysis, and time series, are now in the areas of neurostatistics, statistics in psychiatry, and clinical trials methodology. We collaborate with departments in Pitt’s School of Arts and Sciences and throughout the University.
Resources include opportunities for interdisciplinary research and collaboration with other departments at Pitt and major scientific research centers such as the following.
-University of Pittsburgh Cancer Institute
-Center for Neuroscience at the University of Pittsburgh
-Pitt's Learning Research and Development Center
-The Western Psychiatric Institute and Clinic of UPMC
