Research Opportunities

For Faculty: Recruit Statistics Student Researchers

Enrich your research by collaborating with our talented and motivated undergraduate statistics students! This platform is designed to connect you with junior researchers in statistics eager to contribute to your data-oriented research projects. By mentoring a statistics undergraduate student, you not only advance your own work but also help shape the next generation of statisticians and data scientists.

To list your research opportunity, please submit the details through our faculty forum.

For Students: Find Research Opportunities

Are you ready to apply your classroom knowledge to solve real-world data science and statistics problems? Getting involved in undergraduate research is a fantastic opportunity to strengthen your analytical skills, explore your academic interests, and work closely with faculty at the University of Minnesota.

Research Opportunities
Project Title	Project Description	Funding Status	Department or Center	Required Skills	Application Window	Timeframe	Contact
Physics + Statistics research project	Applications of statistical methods to astrophysical data analysis, modeling of complex time series, and related physics projects. The final project will be tailored to the student’s interests and will be supervised by Dr. Argyro Sasli and Prof. Michael Coughlin.	Unfunded	School of Physics & Astronomy	Python coding, statistical machine learning	Student must express their interest in this position by no later than September 7th, 2025	Approximately 120 of work during Fall 2025	Dr. Argyro Sasli, [email protected]

Funding Opportunities

Financial support can be crucial for enabling a deep and rewarding research experience. Several campus-wide programs offer stipends and grants specifically for undergraduate researchers. We encourage you to explore these options to support your work.

Below are key funding programs available to undergraduate students at the University of Minnesota. Please check each program's website for the most current information, eligibility requirements, and application deadlines for the next cycle.

Undergraduate Research Opportunities Program: The Undergraduate Research Opportunities Program (UROP) provides University of Minnesota undergraduates from every college, major, and discipline the opportunity to partner with a faculty member on research or creative projects.
Researcher-Initiated Student Employment (RISE): The RISE program provides University of Minnesota faculty, research staff, and post-doctoral scholars from every college, major, and discipline the opportunity to request funds for paid undergraduate positions in support of their research and/or creative scholarship.

The Lynn Y.S. Lin Support Funds for Undergraduate Research

The School of Statistics is pleased to announce the availability of the Lynn Y.S. Lin Undergraduate Student Research Support to support undergraduate research experiences during Fall 2025. The School of Statistics will be offering up to two scholarships of $1,800 each to support student research projects under faculty supervision.

Eligibility Requirements

Students must be declared majors or minors in Statistics within the College of Liberal Arts at the University of Minnesota
Students must be enrolled for the entire Fall 2025 semester
Projects must be supervised by a faculty member
Students who have other sources of support for Fall 2025 are not eligible for these funds

Application Process

Faculty members should submit applications directly to the Director of Undergraduate Studies at [email protected] on behalf of their students. Each application must include:

Student's full name
Student's email address
A brief project proposal (maximum half-page) outlining the research project and expectations for the student
A paragraph describing how the student’s credentials support the applicant’s potential for future research productivity
A statement confirming that the student meets the eligibility requirements

The deadline for all applications is September 15, 2025.

More about Dr. Lynn Y.S. Lin

Lynn Lin was raised in Taiwan in humble circumstances, but excelled in his studies. His academic qualifications include a BS and MS degree in agricultural economics from National Chung-Hsing University in Taiwan, as well as an MS in statistics from Kansas State University. He moved to Minnesota and completed his PhD in the School of Statistics in 1975, and has since published more than 50 technical papers in the areas of statistics, economics, advertising research, and new product research in the U.S. and abroad. Dr. Lin was always dedicated to developing statistical solutions for real-world problems, so after school, he joined the Pillsbury Company and later worked at Booz Allen & Hamilton. He left to form his consulting company in 2002. He is best known for BASES, the new-product sales forecasting methodology he invented, which now has a 65-70% market share worldwide. Dr. Lin is a regular speaker at educational events for quantitative professionals and the author of several books. The School has benefited from his support of summer internships and consulting experiences, which have exposed many of our graduate students to the practical applications of statistics in the real world, and now from his support of undergraduate research experiences.

More information on CLA’s undergrad research opportunities

More information on Undergraduate Research Scholarships

More information on the Office of Undergraduate Research

Undergraduate Research Newsltter