Candidates must possess a Ph.D. in statistics by August 2018. Candidates in closely related disciplines also will be considered, if their scholarship and professional involvement demonstrate commitment to and identification with the field of statistics. In addition, the successful candidate must have excellent communication skills and demonstrated teaching excellence or potential. The successful candidate must be engaged in a viable program of ongoing research. The successful candidate also must have an interest in developing curricula and supervising student research as part of a growing Master’s Degree Program in Applied Statistics. Responsibilities will include teaching up to four courses per semester including graduate courses in statistics, undergraduate courses in statistics, as well as other undergraduate mathematics courses. Preference will be given to individuals with background in Data Science and with the potential to develop curriculum in this area.
All offers of employment are subject to, and contingent upon, satisfactory completion of all pre-employment criminal background checks.
Applications must include a cover letter addressing the above requirements; a curriculum vitae; all graduate transcripts; a brief statement of teaching philosophy; a brief research prospectus and three recent letters of recommendation, at least one of which addresses communication skills and teaching potential. Finalists must successfully complete an interview process that includes a teaching demonstration and a research talk to the Department’s faculty and upper division students. Preference will be given to applicants whose materials are received by December 15. Applications will be reviewed until the position is filled. Rank and salary are negotiable.
Application materials must be submitted electronically to:
Include email addresses for three referees when applying in our system. Referee will automatically be sent an email with access to upload their letters of recommendation to our applicant tracking system. West Chester University is an Affirmative Action/Equal Opportunity Employer. Women, minorities, veterans and persons with disabilities are encouraged to apply.