Job Summary
The College of Lifetime Learning (https://cll.gatech.edu/) at the Georgia Institute of Technology in Atlanta, Georgia 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 includes the design, study, and transformation of…
learning systems and ecosystems spanning schools, universities, workplaces, and beyond. 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 of Lifetime Learning prioritizes scholars who bridge learning sciences, AI and technology, systems thinking, and real-world implementation. We are particularly interested in 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:
- Learning Sciences - cognitive, developmental, motivational aspects across the lifespan
- Learning Technologies - AI, analytics, simulation, technology-enhanced learning
- Educational Systems, Business Models, and Policy - leadership, organizational learning, scalable models of lifelong learning
This opportunity is part of a cluster hire that is focused on lifetime learning systems. Applicants will be considered at all ranks. Any of the research and educational areas should enable one to contribute to the innovative re-envisioning of higher education through credit-bearing courses, degrees, professional and continuing education offerings as well as knowledge in effective early learning (K-12) methods. Candidates are expected to demonstrate an exceptional commitment to the teaching and mentoring of students.
Responsibilities
The College seeks individuals with outstanding potential for research achievement, and a strong aptitude and interest in undergraduate and graduate teaching, as well as interest and experience in translating curricula innovations into programs of study for both credit, and professional, and/executive programs.
Applicants should have earned a Ph.D. or equivalent terminal degree. Candidates will be considered at the ranks of Assistant and Associate Professor. Exceptional candidates will also be considered at the rank of full Professor.
- Research: Conduct cutting-edge research in learning systems. Secure external funding through grants and partnerships. Publish in high-impact journals and present at leading conferences.
- Teaching: 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.
- Service: Contribute to the governance and community engagement activities of the College of Lifetime Learning and Georgia Tech. Participate in departmental, college, and university committees. Provide leadership in advancing the field of learning sciences and learning analytics.
- Student Success: Candidates are also expected to meet student success criteria. Such criteria include the ability to promote a welcoming educational/work environment, the ability to mentor and assist students interested in pursuing graduate education and the ability to adopt teaching strategies that support the learning and success of all students.
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.
More information on the evaluation of faculty members as teachers and educators, and on expectations for promotion and tenure evaluation are available online in the GT Faculty Handbook in section 3.3.4 here.
Preferred Qualifications
For the ranks of Associate and Full Professorship, there will be further expectations of:
- 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.
Student Success Criteria
- The ability to teach and mentor students from diverse backgrounds and learning pathways.
- The ability to mentor and assist students interested in pursuing graduate education.
- The ability to design and teach curricula that are responsive to students from diverse backgrounds and learning pathways.
- The ability to adopt teaching strategies that support the learning and success of all students.
- The ability to engage in high-impact practices that support deep learning for student success.
Contact Information
Requests for information may be directed to Office of the Dean at dean@lifetimelearning.gatech.edu.
