PhD Positions in Mathematics, Deep Learning, and AI at Utah State University (Fall 2026) Utah State University in United States

Utah State University is recruiting new PhD students for Fall 2026 in the Department of Mathematics and Statistics. Research areas in the group include the mathematics of deep learning, guided representation learning for data visualization, manifold-based data alignment, explainable AI, automatic cell tracking, machine learning-based diagnosis of hearing loss, and AI4Science. This is an excellent opportunity for students interested in the intersection of mathematics, computer science, and statistics, with applications in scientific discovery and healthcare.

Applicants should have a strong background in mathematics or statistics, with a demonstrated interest in machine learning, deep learning, or related fields. The program encourages students with strong research potential to apply, regardless of GRE scores, as GRE is not required. Instead, applicants may submit a research portfolio. International applicants must provide recent English proficiency test scores unless exempt by prior study in an English-speaking country.

Required application materials include three letters of recommendation (at least two from former professors), transcripts (with a minimum overall GPA of 3.0 and a math/stat GPA of 3.5), a resume, and a statement of purpose. The application process involves submitting both the Utah State University School of Graduate Studies application and a departmental form. For full consideration for Fall 2026 admission and financial support, applications should be completed by January 15, 2025.

Financial support is available for PhD students, with initial offers made in March. While specific stipend and tuition details are not provided, the department offers financial aid as part of the admission process. The program is ideal for students seeking to advance research in mathematics, deep learning, AI, and their applications in science and medicine.

For more information and to apply, visit the department's graduate application page. Prospective students are encouraged to reach out to the Graduate Program Coordinator for any questions regarding the program or application process.