Post-doctoral Research Associate - Department of Educational Leadership and Policy Studies - UTK

University of Tennessee • Knoxville, TN

1d • $60,000 - $70,000 • Onsite

About The Position

This postdoctoral fellowship at the University of Tennessee, Knoxville (UTK) will join a pilot project exploring how AI can support high quality teaching and learning in research methodology courses. The scholar will investigate student and instructor perceptions of AI-assisted learning, evaluate pedagogical frameworks for effective design and implementation, and analyze both computational and qualitative data to refine AI integration in higher education. The position emphasizes building scalable, ethical, and culturally conscious approaches to AI in teaching, while contributing to faculty development and institutional capacity. Outcomes will include evidence-based practices, publications, and positioning UTK for major external funding and industry collaborations. This position will be working in the AIRELab.

Requirements

• PhD in Education, Computer Science, Learning Sciences, Economics, Psychology, Public Policy, or a related field.
• Experience working across disciplines (education, tech, public policy, health, etc.)
• Strong training in quantitative methods (e.g. regression, causal inference, psychometrics, experimental & quasi-experimental designs)
• Demonstrated experience with mixed-methods research (integrating qualitative + quantitative data)
• Track record of peer-reviewed publications
• Interest in equity-centered, applied research at the intersection of AI, education, and the labor market
• Comfort translating research into scalable, real-world educational interventions
• Experience with grant writing.

Responsibilities

• Lead and co-author quantitative and mixed-methods studies based on the main project.
• Support experimental and pilot interventions in education and workforce training
• Design and evaluate AI-integrated curricula and learning tools
• Contribute to grant writing, IRB protocols, and peer-reviewed publications
• Support curriculum design and implementation.
• Facilitate professional development workshops for collaborators
• Mentor graduate and undergraduate researchers in quantitative methods
• Collaborate with domestic and international partners on program design and deployment
• Support design of data dashboard

Benefits

• Find more information on UT Benefits here

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree