Adjunct Faculty: Statistics & Data Science 2026-27

The Department of Mathematics, Statistics, and Computer Science at Augsburg University invites applications for adjunct faculty positions to teach Statistics & Data Science courses in 2026. Responsibilities include teaching one or two sections of introductory or intermediate statistics courses in the Statistics and Data Science programs, such as DST 164 Introduction to Statistics (with R) or DST 334 Statistical Modeling. This search will establish a “pool” of instructors if such openings occur during Fall of 2026 or Spring of 2027. Applicants may be selected from this pool on an as-needed basis throughout the year. Available courses vary by term.

Most classes are held during the day, 2-3 days per week. In addition to teaching the class and grading student work, instructors are expected to respond to student questions through email, hold regularly scheduled office hours, reach out to students with course progress information, and communicate regularly with the course coordinator. A course syllabus with calendar, textbook and homework selection, sample activities and exams, and shared office space are typically provided. Most classes are taught in-person on our Minneapolis campus. Each fall or spring semester course requires approximately 12-15 hours/week for 15-16 weeks.

Compensation & Benefits Subject to the collective bargaining agreement with SEIU, Local 284 $6,100 to $6,475 per undergraduate course* for the 2026-27 academic year Eligible for 2-4% retirement contribution match Eligible for 1-1.5% retirement contribution match Tuition discount for employees and dependents Transit pass discount Not eligible for healthcare benefits *Course refers to a typical 4-credit undergraduate course that has met minimum enrollment requirements. Please note that due to employment law and payroll regulations, we can only employ adjunct faculty who reside in Minnesota or Wisconsin. This restriction applies even to courses taught online.

Candidates should be committed to student engagement and student success with a diverse group of learners.

Preferred Qualifications

The ideal candidate will have some experience teaching at the post-secondary level or significant experience teaching at the secondary level.

Minimum Qualifications

Master's in Statistics or a related field. For full consideration, candidates must submit the following information at the time of application: Cover letter Curriculum vita or Resume Unofficial undergraduate and graduate transcripts Your cover letter should Highlight your experience or interest in teaching at the university level Identify your general availability during the day and/or evenings; and Indicate whether you are interested in in-person or synchronous online teaching (or either).

For specific inquiries about these adjunct opportunities, please email the Department Chair, John Zobitz ([email protected]) Among the distinctive features of the University are its deep dedication to civic and community engagement, robust…

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