PostDoc Associate

The Department of Mathematics at the University of Nebraska-Lincoln invites applications for a three-year non-tenure track NSF-funded RTG postdoctoral faculty position, starting in August 2026. The NSF requires RTG postdocs to be U.S. Cititzens or permanent residents. Responsibilities include research, teaching two courses per academic year, and running a year-long research seminar, with the help of a research mentor, during the second year in the position.

A competitive compensation package will be negotiated. UNL makes available reasonably priced life, health, and long-term disability insurance programs. To learn more about the department please visit  .

• Ph.D. (or equivalent) in Mathematics or a closely related field or anticipated degree by August 2026.
• Per NSF requirements, candidates must be U.S. citizens or permanent residents.

• Documented research activity and interests in commutative algebra, algebraic geometry, or related fields.
• Documented record of success in classroom instruction at the college level.

Click "Apply Now" and login or create an applicant profile. In addition, applicants must submit the following materials viawww.mathjobs.org :

• A letter of application
• Teaching statement
• Three letters of reference, at least one of which should address the applicant's teaching experience.

Please arrange for your references to submit their letters using (Use the "Apply for this Job" box below). . Failure to submit applications to both mathjobs.org and here will result in an incomplete application and cannot be reviewed. Questions should be directed to the Chair of the RTG Postdoctoral Search Committee, Mark Walker, ker .

Campus Name:
University of Nebraska Lincoln (UNL)

For questions or accommodations related to this position contact:
Carolyn Kollmann ckollmann2

Special Instructions to Applicant:
Click on "Apply Now". Create or login to account. If current employee, click on Employee login.

The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment.