Assistant Professor Statistics One-Year Term (Start Fall 2025) - Grinnell College : Job Details

The Department of Statistics invites applications for a one-year term contract with the possibility of renewal appointment beginning Fall 2025. Assistant Professor (Ph.D. or terminal degree equivalent program) preferred; Instructor (ABD, or MS in Statistics) or Associate Professor possible. In this position, you will have the opportunity to work with five other statistics faculty as we continue to develop our curriculum in statistics and data science. Grinnell College also provides generous support for faculty research. The teaching load is five courses [OR EQUIVALENT] over two semesters and may include courses at all levels of our undergraduate statistics and data science curriculum. Candidates with experience involving data-driven courses, data science, or undergraduate research projects will receive strong consideration. Additional information about our curriculum and faculty can be found at Term contract renewals are subject to departmental and college priorities and budget availability.

Assistant Professor (Ph.D. or terminal degree equivalent program) preferred; Instructor (ABD, or MS in Statistics) or Associate Professor possible.

In letters of application, candidates should discuss their potential to contribute to a college community that maintains a diversity of people and perspectives as one of its core values. To be assured of full consideration, all application materials should be received by February 15, 2025. Please visit our application website at to find more details about the job and submit applications online. Candidates will need to upload a letter of application, curriculum vitae, transcripts (copies are acceptable), a teaching statement that addresses teaching statistics to students from a diverse range of backgrounds and academic interests and provide email addresses for three references. Questions about this search should be directed to the search chair, Professor Jeff Jonkman, at [email protected] or 641-###-####.