Assistant Professor of Statistics (Tenure Track)

Location
Collegeville, Pennsylvania
Posted
Sep 11, 2018
Position Type
Tenured & Tenure-Track
Institution Type
Four-Year Institution

The Mathematics and Computer Science Department at Ursinus College invites applications for a tenure-track position at the Assistant Professor level in the area of Statistics to begin fall 2019. Applicants are invited from all areas of statistics, including statistics education.  Teaching responsibilities will include 5 courses over two semesters (3/2 teaching load), including both introductory and higher-level statistics and probability courses for undergraduates, and the Common Intellectual Experience, a first-year interdisciplinary seminar.  Ability and interest in teaching mathematics and/or computer science is a plus.  The successful candidate will be expected to establish a research program, as well as show a commitment to fostering undergraduate research.  A Ph.D. in Statistics or a closely-related field is strongly preferred; ABD with anticipated completion in Fall 2019 will be considered.

Applications must be submitted online through https://apply.interfolio.com/54224. A complete application includes the cover letter, curriculum vitae, teaching and research statements, a statement detailing experience and/or commitment to supporting a diverse student body, transcripts, and three confidential letters of recommendation (at least one addressing teaching). Direct any questions to Dr. Nick Scoville at mathcs@ursinus.edu.  Review of completed applications will begin on November 15, 2018 and continue until the position is filled.

Ursinus College is a highly selective, independent, co-educational, residential liberal arts college of approximately 1500 students located about 25 miles northwest of center city Philadelphia. With a diverse community of students, it is an expectation of all faculty to contribute to the inclusion, engagement, and success of all students. Ursinus is an EO/AA employer.  Ursinus College does not discriminate on grounds of race, color, national origin, gender, sexual orientation, gender identity or expression, religion, age, creed, ancestry, veteran status, marital status, disability, or other classification protected by applicable law in the administration of any of its educational programs or activities or with respect to employment.

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