How to Apply
Follow the application procedures in the announcement. After screening by a search committee, successful candidates will complete an employment application, provided by the university or which can be downloaded as a (.pdf).
Department of Mathematics, Computer Science and Statistics
The Department of Mathematics, Computer Science and Statistics at Bloomsburg University of Pennsylvania invites applications for a full time tenure-track assistant professor to begin in the fall semester of 2012 (AA# 53-1-138).
An earned Ph.D. in Statistics or Mathematics from an accredited institution is required by August 27, 2012. Although candidates with expertise in statistics would better complement the current faculty, applicants in all areas of applied mathematics are also encouraged to apply. Demonstrated strong commitment to teaching, research and continuous scholarly activity is required for tenure. Finalists for the position must communicate well, successfully complete a teaching demonstration that incorporates their research and complete an interview process as judged by the department faculty. Demonstrated ability to work with diverse populations preferred. Recommendation for hiring is needed by the majority of the regular, full-time department faculty.
Review of applications begins January 16, 2012 and will continue until the position is filled.
Applicants should send a letter of application, teaching and research statements, curriculum vitae, unofficial graduate transcripts, and three letters of recommendation electronically to MathSearch@bloomu.edu or by regular mail to:
- Search Committee
- Department of Mathematics, Computer Science and Statistics
- Bloomsburg University of PA
- 400 East Second Street
- Bloomsburg, PA 17815
Prior to a final offer of employment, the selected candidate will be required to submit to a background check including, but not limited to, employment verification, educational and other credential verification, and criminal background check. The University encourages applications from historically under-represented individuals, women, veterans, and persons with disabilities and is an AA/EEO Employer.