Post-Doc Research Associate

UNC-Chapel Hill • Chapel Hill, NC

19h

About The Position

The Department of Mathematics at the University of North Carolina at Chapel Hill invites applications for a postdoctoral position in geometric optimization and scientific computing, with connections to machine learning and data analysis. The appointment begins July 1, 2027, for an initial one-year term, with the possibility of renewal for a second year.

The postdoctoral scholar will work with the Principal Investigator on research at the intersection of optimization, geometry, scientific computing, and machine learning. Potential directions include optimization for machine learning, geometric methods for data analysis, and efficient algorithms for learning and inverse problems. Projects will be developed jointly according to the group’s interests and the scholar’s expertise, with opportunities to pursue independent research.

The position offers close research mentorship, regular meetings, and professional development support. The scholar will also be expected to teach, participate in the department’s applied mathematics community, and may collaborate with faculty and students across related disciplines within and outside the Department of Mathematics.

Requirements

• Demonstrate strong research potential.
• Have experience in one or more relevant areas, such as optimization, numerical analysis, scientific computing, geometry, or machine learning.

Nice To Haves

• A strong mathematical foundation.
• Experience developing and implementing computational methods.
• Teaching experience.

Responsibilities

• Conduct research with the Principal Investigator at the intersection of optimization, geometry, scientific computing, and machine learning.
• Contribute to research projects, potentially involving optimization for machine learning, geometric methods for data analysis, and algorithms for learning and inverse problems.
• Pursue independent research directions where appropriate.
• Teach.
• Participate in the department’s applied mathematics community.
• Collaborate with faculty and students across related disciplines as opportunities arise.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed