University of Minnesota REU: Image Classification through 3D Reconstruction and Equivariant Neural Network

🚧 This page is under construction. Dates, funding details, and application information are to be determined.

Program Overview

The University of Minnesota REU on Image Classification through 3D Reconstruction and Equivariant Neural Network is a six-week undergraduate research program planned for Summer 2027. The program focuses on:

• image classification via 3D reconstruction and equivariant neural networks problems.

Students will collaborate with faculty and graduate mentors in a supportive research environment, with dedicated workspace in the School of Mathematics.

Program Benefits

• Stipend: To be determined
• Travel and Living Support:
  • Travel reimbursement: Up to a fixed amount (TBD) for non-local participants.
  • Housing and meals: Provided for non-local participants (TBD).

Eligibility

Open to undergraduate students who:

• Are pursuing an associate or bachelor’s degree.
• Are U.S. citizens, permanent residents, or U.S. nationals.

Application Deadline

To be announced.

Applicant Requirements

Ideal applicants should have:

• Basic knowledge of group theory.
• Ability to read and write Python code.
• (Preferred) Experience with TensorFlow or similar frameworks.

Required Documents

• A Statement of Interest
• One reference letter (submitted online)
• An unofficial transcript

Application Link

🚧 Application portal coming soon.
[Link will be posted here when available.]

Please check back soon for finalized details.