Faculty Position in Artificial Intelligence in K-12 Education Open Rank – Tenure Track/Tenure Eligible
UNC-Chapel Hill
Full-time
On-site
Chapel Hill, North Carolina, United States
Artificial Intelligence (AI)
Position Summary
The School of Education at the University of North Carolina at Chapel Hill invites applications for a position at the rank of Assistant or Associate Professor in artificial intelligence in K-12 education starting July 1, 2026. This is a full-time, 9-month tenure-line or tenured appointment depending on rank at the time of hire. The purpose of this faculty search is to hire a dynamic scholar who is doing cutting-edge, theory-grounded research in how to leverage artificial intelligence techniques to design and implement tools and solutions that enhance K-12 learning, teaching, and/or administration. Candidates for this position must have expertise in the development of machine learning and/or learning analytics solutions as well as experience translating that expertise into practical, useful, and scalable solutions for enhancing teaching, learning, and/or the administrative structures that facilitate teaching and learning in K-12 settings.
Preferred Qualifications, Competencies, And Experience
Strong preference will be given to candidates with a research focus on developing tools and/or solutions that leverage large datasets and theory to improve learning, teaching, and/or administration in education.
The School of Education at the University of North Carolina at Chapel Hill invites applications for a position at the rank of Assistant or Associate Professor in artificial intelligence in K-12 education starting July 1, 2026. This is a full-time, 9-month tenure-line or tenured appointment depending on rank at the time of hire. The purpose of this faculty search is to hire a dynamic scholar who is doing cutting-edge, theory-grounded research in how to leverage artificial intelligence techniques to design and implement tools and solutions that enhance K-12 learning, teaching, and/or administration. Candidates for this position must have expertise in the development of machine learning and/or learning analytics solutions as well as experience translating that expertise into practical, useful, and scalable solutions for enhancing teaching, learning, and/or the administrative structures that facilitate teaching and learning in K-12 settings.
Preferred Qualifications, Competencies, And Experience
Strong preference will be given to candidates with a research focus on developing tools and/or solutions that leverage large datasets and theory to improve learning, teaching, and/or administration in education.