The Department of Statistics at The Pennsylvania State University invites applications for one or more open-rank tenure-track positions. We are open to candidates in all specialties within statistics, theoretical or in any area of application. Applicants at the Assistant Professor level should have a PhD in Statistics or closely related field by appointment start date, demonstrate potential for excellence in research and teaching, and show a commitment to contributing to inclusivity in the statistics profession. Applicants at the Associate or Full Professor level should have a PhD in Statistics or closely related field, the equivalent of at least 4 years' experience in research (as evidenced by publication record and extramural funding), in teaching of both undergraduate and graduate courses, and in service to the profession. The successful candidate will be expected to teach graduate and undergraduate courses, have a promising research and publication agenda, and a commitment to university service and public outreach.
The Department is part of the Eberly College of Science at Penn State, which accounts for over one hundred million dollars of research expenditures annually. The Department of Statistics is a community of around 25 tenure-line faculty members and around 50 faculty members in total, with a strong commitment to fostering diversity, equality and inclusive excellence in a variety of research and teaching activities. Our research activity is both theoretical and applied, with collaborative ties to other departments in the College of Science (e.g., Biology and Astronomy) as well as other colleges across the university (e.g., Earth and Mineral Sciences, Engineering, Health and Human Development, and Medicine). We have strong ties with several Penn State Institutes (e.g., the Huck Institutes of Life Sciences, Penn State Institutes of Energy and the Environment, the Institute for Computational and Data Sciences, and the Institute for Cyberscience) that support and facilitate inter-disciplinary research. The University has also launched a multi-college data sciences degree program supporting positions in Statistics and other departments. Penn State is located in the center of Pennsylvania, in a valley surrounded by the Appalachian Mountains and state forestland. The adjoining town of State College combines many amenities typically found in large metropolitan areas with the benefits of a university town, boasting a highly educated population and excellent schools and services. Additional information about the Department of Statistics can be found at https://science.psu.edu/stat. Informal inquiries about and/or nominations for this search may be directed to Prof. Murali Haran, Department Head, at mharan@stat.psu.edu.
Interested individuals must (1) complete an online Penn State application at https://psu.wd1.myworkdayjobs.com/PSU_Academic/job/University-Park-Campus/Tenure-Track-Faculty_REQ_0000018806-2 and (2) apply online through Mathjobs.org at https://www.mathjobs.org/jobs/list/18044. Applications should include: a cover letter that highlights major areas of research interest, accomplishments, goals for future work and how those integrate with the department's current strengths or bring new directions to the department; curriculum vitae; statement of research interests, accomplishments, and future plans (maximum 3 pages); statement of teaching philosophy, experience, and major achievements (maximum 3 pages); diversity statement that describes any activities regarding contributions to equity, diversity, and inclusion (maximum 2 pages); names and contact information of at least three professional references.
We will begin reviewing applications on Sept. 1, 2021 and will continue to consider applications received after this date until the positions are filled.
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Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.