Post-Doctoral Associate

University of Minnesota • Minneapolis, MN

34d • $61,008 - $65,000

About The Position

The School of Statistics at the University of Minnesota invites applications for a 100%-time, 12-month Post-Doctoral Associate, to begin between January 15, 2026 and August 31, 2026. The Post-Doctoral Associate will work with Dr. Eric Chi and his collaborators within and outside the University of Minnesota. The Post-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a one-year appointment with the potential to be extended contingent upon funding, satisfactory performance, and the needs of the school.

Requirements

• Ph.D. in statistics, applied mathematics, computer science, engineering, or a related data science field by the date of appointment is required.
• Demonstrated commitment to high-quality research in statistics or data science.

Nice To Haves

• Excellent verbal and written communication skills
• Organization and time management skills
• Strong experience in methodological development, independent research, and the ability to work professionally with minimal supervision and direction
• Strong computational background
• Methodological expertise in one or more of: numerical optimization, optimal transport, MCMC, machine learning

Responsibilities

• Maintain open-source software on GitHub
• Publish peer-reviewed journal and conference papers.
• Present work at conferences
• Assist with writing and developing grant proposals to obtain research funding from agencies.

Benefits

• Competitive wages, 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
• Industry: Educational Services
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees