Assistant/Associate Professor Position in AI-Based Quantitative Research Method in Education

University of Florida • Gainesville, FL

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About The Position

The University of Florida has pioneered the effort to integrate AI education in every major and every college. The College of Education seeks a tenure track Assistant or Associate Professor in AI-based Quantitative Research Methods in Education . This faculty member will join a productive and collegial community of scholars committed to high quality teaching, research, and service. In addition, this faculty member will have the opportunity to collaborate with researchers in a variety of units centered around AI and technology-enhanced learning, such as the Institute for Advanced Learning Technologies ( https://ialt.education.ufl.edu ). Successful applicants for the tenure track Assistant or Associate Professor position are expected to develop and maintain a clear, systematic line of research; vigorously pursue external research funding; publish in top-tier scholarly journals; present research findings at meetings of professional associations; and contribute to advising and teaching graduate students. Additionally, candidates will engage in service to the program, school, college, university, and profession in general. The nine-month, tenure-accruing faculty appointment begins August 2026. Salary is negotiable, highly competitive, and commensurate with qualifications and experience. Potential areas of expertise and scholarship may include: AI-enhanced psychometrics, Computational Psychometrics, Digital-based assessment, and related areas Causal machine learning for designing and analyzing experimental and quasi-experimental studies Reinforcement Learning (RL) in educational research Natural Language Processing (NLP)-based methods in educational assessment, measurement, and quantitative analysis Issues of validity, reliability, and heterogeneous impacts in AI-enhanced quantitative methodology Advancements to educational quantitative research methodology through AI

Requirements

• Candidates for Assistant Professor shall hold the highest degree appropriate to their field or possess equivalent qualifications based on professional experience. A candidate shall be expected to demonstrate successful experience pertinent to the position they are being recommended and have demonstrated qualities relevant to the goals of the academic unit in which they will be employed.
• Candidates for Associate Professor shall hold the highest degree appropriate to their field or possess professional qualifications above those equivalent to the highest degree relevant to their field. They are expected to have produced creative work, professional writing, or research and successful teaching or professional experience. A candidate for this rank must have a distinguished record of achievement beyond the assistant professor level.
• Doctorate in relevant academic discipline. ABD candidates will be considered if the degree is conferred prior to August 15, 2026.
• Record of scholarship as demonstrated through publications and presentations at national conferences (commensurate with experience)

Nice To Haves

• Experience in teaching face-to-face classes as well as blended or online classes
• Evidence of success in proposing, securing, and managing externally-funded projects
• Evidence of commitment to collaboration with faculty and students
• Evidence of commitment to and experience in mentoring students
• Commitment to active engagement with and/or leadership in professional organizations of educational research methodology

Responsibilities

• Conduct scholarly activities commensurate with expectations of a tenure-track assistant or associate faculty member at a research-intensive university
• Build a collaborative and diverse community of scholars among colleagues within and outside of the college, especially within UF’s AI research community
• Vigorously pursue external funding opportunities with the support of the College’s Office of Educational Research
• Publish in top-tier refereed scholarly journals
• Advise, engage, and mentor graduate students in teaching, research, and outreach activities
• Design and teach courses (face-to-face, blended, and/or online) for graduate students and, optionally, undergraduate students
• Provide service to the university and the profession

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees