Assistant Professor (T/TE), Human-Centered AI and Data Literacy

The University of Arizona•Tucson, AZ

3d•Onsite

About The Position

The University of Arizona is hiring a tenure-track Assistant Professor in Human-Centered AI and Data Literacy through a joint appointment in the Department of Educational Psychology in the College of Education (51%) and the College of Information Science (49%). The position is part of the interdisciplinary cluster Developing the Human Intelligence Behind the Use of Artificial Intelligence, which brings together scholars in Educational Psychology, Information Science, Cognitive Science, Public Health, and the Humanities to examine how AI and data-intensive systems can support better decisions and practices in education and human development. Areas of interest include interpretability, trust, and real-world effectiveness, including in mental health, wellness, and learning. The successful candidate will connect the two academic communities and bring a learning-focused perspective to interdisciplinary research on AI, data, and educational systems. The role calls for a scholar working at the intersection of education and information science, with a sophisticated understanding of learning, information organization and access, rigorous research, and the use of AI to improve learning, decision-making, knowledge discovery, and human performance. The candidate will bridge theory and practice by translating advances in cognitive science, learning sciences, information systems, data analytics, and AI into practical, ethical, and measurable solutions. Each unit will provide a written position description covering its responsibilities and expectations. The position combines research, teaching, and service. The overall workload is approximately 40% teaching, 40% research, and 20% service, with an expected teaching load of four courses per academic year across both appointments. The position is full-time, 1.0 FTE, and is scheduled to begin August 16, 2027. Visa sponsorship is not available.

Requirements

Doctorate in Educational Psychology, Learning Sciences, Cognitive Psychology, Information Science, Human-Computer Interaction, Data Science, Statistics, Computer Science, or a closely related field, in hand by the start date in August 2027.
Evidence of a research program in AI, data science, or learning analytics applied to human learning, behavior, or decision-making, such as peer-reviewed publications, dissertation research, or manuscripts in preparation.
Experience teaching graduate or undergraduate courses, in person or online.
Ability to design, conduct, and contribute to research across disciplinary lines in education, information science, and the social sciences.
Ability to communicate AI and data concepts clearly to educators, practitioners, and technical audiences.
Ability to effectively teach and mentor students at the undergraduate and graduate levels.

Nice To Haves

Experience conducting research in educational or other real-world settings.
Experience teaching or mentoring students in varied educational settings, and/or conducting multilingual research or research across different educational contexts.
Experience designing and teaching online courses, both synchronous and asynchronous.
Experience designing curriculum or instruction for adult learners, such as practicing educators or other working professionals.
A record of seeking or securing external research funding, including grant proposals submitted as PI or co-PI.

Responsibilities

Establish and maintain an active, independent research program in human-centered AI, machine learning, causal inference, and/or learning analytics applied to education, health, or information systems.
Pursue external research funding through grant proposals.
Develop collaborations within and across disciplines, particularly through the cluster hire initiative, including with colleagues in Education, Information Science, Public Health, Cognitive Science, and the Humanities.
Disseminate research through peer-reviewed publications, conference presentations, and other scholarly activities.
Teach graduate and undergraduate courses in Educational Psychology and Information Science, potentially online and in person.
Advise and mentor master’s and doctoral students, supporting their research and professional development.
Build partnerships with P–16 schools, districts, and community colleges.
Participate in departmental, college, university, and interdisciplinary service.
Perform additional duties as assigned.

Benefits

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability programs
Sick leave
Holidays
Tuition reduction at U of A/ASU/NAU for the employee and qualified family members
Retirement plans
Access to U of A recreation and cultural activities
Innovative work-life programs