Multiple Open Rank Tenured/Tenure-Track Faculty Positions in Lifetime Learning Systems, Learnin...

Multiple Open Rank Tenured/Tenure-Track Faculty Positions in Lifetime Learning Systems, Learning Sciences and AI in Education Location: Atlanta, Georgia Job Summary The College of Lifetime Learning 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. The search supports the College’s Strategy 2035 goals to catalyze a learning society, empower communities through limitless learning, engage millions of learners, lead the world in learning systems research, and build a learner‑first college for continuous adaptation. Applicants are expected to bridge learning sciences, AI and technology, systems thinking, and real‑world implementation. Ideal candidates move between theory, design, and evidence and translate research into scalable programs, tools, or partnerships in one or more of the following areas or intersections: learning sciences, learning technologies, AI in education, educational systems, business models, policy, and leadership. Responsibilities Conduct cutting‑edge research in learning systems, secure external funding through grants and partnerships, and publish in high‑impact journals. 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 at the College of Lifetime Learning and Georgia Tech, participate in departmental, college, and university committees, and provide leadership in advancing the field of learning sciences and learning analytics. Meet student success criteria including promoting a welcoming environment, mentoring and supporting students, adopting inclusive teaching strategies, and engaging in high‑impact practices that support deep learning. Required Qualifications 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. Preferred Qualifications A demonstrated record of research excellence with a focus on learning sciences, AI in education, learning technologies, learning analytics, or related areas. Experience in teaching and mentoring at the undergraduate and graduate levels. Evidence of securing external research funding. Student Success Criteria Ability to teach and mentor students from diverse backgrounds and learning pathways. 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. Applicant Instructions Applicants should submit a letter of application, curriculum vitae, statement of research interests, description of teaching interests and advising/mentoring philosophy, and the names and contact information for at least three references. Application materials must be in PDF format and submitted via Applications must be submitted by October 30, 2026. The search will continue until the positions are filled. Background Check A successful candidate must be able to pass a background check. Please visit Equal Employment Opportunity The Georgia Institute of Technology is an Equal Employment Opportunity Employer. Georgia Tech is committed to maintaining a fair and respectful environment for all and provides equal opportunity to all faculty, staff, students, and other members of the Georgia Tech community, including applicants for employment. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Contact Information Requests for information may be directed to the Office of the Dean at View email address on click.appcast.io. #J-18808-Ljbffr Georgia Institute of Technology