Tenured​/Tenure-Track Fac in Lifetime Learning Sys, Learning Sci, AI in Education

Location

Atlanta, GA

The College of Lifetime Learning (CLL) at the Georgia Institute of Technology invites applications for open rank, tenure-track, and tenured faculty positions in Lifetime Learning Systems, Learning Sciences, and AI in Education. Lifetime Learning Systems are optimized environments that are effective, highly interactive, relevant to real-world contexts and support learning across the arc of one's life. This search directly supports CLL's Strategy 2035 goals to catalyze a learning society, empower communities through limitless learning, engage millions of learners across lifespans, lead the world in learning systems research, and build a learner‑first college for continuous adaptation.

The College prioritizes scholars who bridge learning sciences, AI and technology, systems thinking, and real‑world implementation. Candidates who move between theory, design, and evidence, and who translate research into scalable programs, tools, or partnerships in one or more of the following areas or in intersections of these areas are especially welcome:
Learning Sciences, Learning Technologies, and Educational Systems, Business Models, and Policy.

This opportunity is part of a cluster hire focused on lifetime learning systems. Applicants will be considered at all ranks. Any research and educational area should enable a contribution to the innovative re‑envisioning of higher education through credit‑bearing courses, degrees, professional and continuing education offerings as well as effective early learning (K‑12) methods.

• Conduct cutting‑edge research in learning systems; secure external funding through grants and partnerships; publish in high‑impact journals and present at leading conferences.
• Develop and teach undergraduate and graduate courses in areas such as learning sciences, learning technologies, AI in education, learning analytics, instructional design, learning systems, workforce learning, and lifetime learning.
• Contribute to governance and community engagement activities of CLL and Georgia Tech; participate in departmental, college, and university committees; provide leadership in advancing the field of learning sciences and learning analytics.
• Promote a welcoming educational/work environment, mentor and assist students pursuing graduate education, and adopt teaching strategies that support the learning and success of all students.

A Ph.D. or equivalent terminal degree in learning sciences, learning analytics, educational psychology, educational technology, computer science, educational policy and leadership, instructional design, or another learning systems related field.

• A demonstrated record of research excellence with a focus on learning sciences, AI in education, learning technologies, learning analytics, learning systems, or related areas.
• Experience in teaching and mentoring at the undergraduate and graduate levels.
• Evidence of securing external research funding.
• Ability to teach and mentor students from diverse backgrounds and learning pathways.
• Ability to mentor and assist students interested in pursuing graduate education.
• Ability to design and teach curricula responsive to students from diverse backgrounds and learning pathways.
• Ability to adopt teaching strategies that support the learning and success of all students.
• Ability to engage in high‑impact practices that support deep learning for student success.

Requests for information may be directed to the Office of the Dean at (Use the "Apply for this Job" box below).

Applicants should submit a letter of application, curriculum vitae, a statement of research interests, a description of teaching interests as well as their advising/mentoring philosophy, and the names and contact information for at least three references. Application materials should be submitted as .PDF files via .

Applications must be submitted by October 30, 2026, to receive full consideration. The search will continue until the positions are filled.

A successful candidate must be able to pass a background…