Postdoctoral Positions in Mathematics and Statistics

University of Minnesota • Duluth, MN

400d • $57,000 - $59,000

About The Position

The University of Minnesota Duluth (UMD) is seeking applications for postdoctoral positions in mathematics and statistics, focusing on candidates with research interests in applied math and statistics. These are two-year, non-tenure-track appointments starting from August 18, 2025, to August 22, 2027. The role involves teaching, research, and service, with an emphasis on engaging with a diverse student population and aligning research with UMD faculty.

Requirements

• Ph.D. in statistics, mathematics, or a related field awarded by the time of appointment from a regionally accredited institution.

Nice To Haves

• Previous teaching experience at the collegiate level, including teaching assistant experience.
• Evidence of effective teaching.
• Evidence of impactful scholarship in mathematics or statistics.
• Effective written and oral communication skills appropriate to the position.

Responsibilities

• Teach a range of different courses, with a load of three courses per year.
• Conduct research in mathematics or statistics.
• Participate in service activities, including meeting attendance and outreach.
• Assist with UMD's summer bridge program, which meets for approximately three weeks each summer.
• Perform in-class teaching, assessment, and hold office hours.

Benefits

• Competitive wages ranging from $57,000 to $59,000 depending on education/qualifications/experience.
• Paid holidays and generous time off.
• Continuous learning opportunities through professional training.
• Medical, dental, and pharmacy plans.
• Healthcare and dependent care flexible spending accounts.
• University HSA contributions.
• Disability and life insurance.
• Employee wellbeing program.
• Financial counseling services.
• Employee Assistance Program with eight sessions of counseling at no cost.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Educational Services
• Education Level: Ph.D. or professional degree