UGA Assistant Professor of Quantitative Methodology

The Quantitative Methodology (QM) Program in Department of Educational Psychology at the University of Georgia invites applications for a tenure-track Assistant Professor with expertise in Educational Data Mining and Learning Analytic Methodologies to begin the 2024-2025 academic year in August 2024.

The successful candidate will be part of the Data Science and Artificial Intelligence to Advance Teaching & Learning Cluster. This position is housed in the Mary Frances Early College of Education. Scholarship conducted by cluster faculty has the potential to enhance assessment and active learning in classrooms; illuminate previously unseen inequities in classrooms and educational systems; transform educational data into new insights that benefit students, teachers, and administrators; and improve data science education in K-12 and higher education. This cluster will strengthen and expand UGA’s position as a national leader in discipline-based education research and build on existing core strengths in data science and artificial intelligence for teaching and learning. The candidate will also join a growing community of 14+ discipline-based education researchers in biology, physics, chemistry, and engineering. The cluster faculty will be able to work closely with the Scientists Engaged in Education Research (SEER) Center, the Artificial Intelligence for STEM Education (AI4STEM Education) Center, the Digital Humanities Lab, and the Owens Institute for Behavioral Research. Additional information about the UGA President’s Initiative on Data Science and Artificial Intelligence may be found at this link: https://provost.uga.edu/data_science_ai/.

The successful applicant will also be expected to maintain a high-quality research program, seek external funding, serve as a mentor for students in research, teaching and service, direct theses and dissertations, participate in faculty governance, and contribute to the QM Program community and the Department of Educational Psychology. This position requires a) teaching the equivalent of two courses per semester in the program or department and b) the delivery of both face-to-face and online instruction. The candidate will contribute to teaching in high-demand social science research methodology courses for graduate students across the college and university, as well as educational data mining and learning analytics courses for students interested in advanced and extended topics within these methodologies.

Apply online here: https://www.ugajobsearch.com/postings/341715