Open-Rank Tenure Line Position in Artificial Intelligence in Education and Organizations

Overview

On Site
Full Time

Skills

Machine Learning (ML)
Forms
Analytics
Testing
Teamwork
Decision-making
Performance Improvement
Data Governance
Accountability
Policy Analysis
Modeling
Evaluation
Educational Technology
Human-computer Interaction
Science
Higher Education
Research and Development
Curriculum
Partnership
Open Source
Licensing
Training And Development
Organizational Development
Leadership
Psychology
Collaboration
Computer Science
Data Science
Generative Artificial Intelligence (AI)
Microsoft Exchange
Mentorship
Innovation
Research
Quest
Teaching
Publications
Management
Artificial Intelligence

Job Details

Description

Vanderbilt University invites applications for two open rank tenure-track faculty positions in the area of Artificial Intelligence and Education in Organizations with joint appointments in the College of Connected Computing and in the Peabody College of Education and Human Development. The faculty member will be a core participant in LIVE, Vanderbilt's interdisciplinary Learning Innovation Incubator.

We define the area of Artificial Intelligence in Education and Organizations broadly, with research foci that may include work with representational or generative AI, machine learning, and/or learning analytics in the context of K-12, higher education, and workplace learning. We seek candidates with a strong program of research that may include work in areas such as those listed below. These examples are not exhaustive, and we welcome innovative approaches at the intersection of AI, education, and organizational learning in all forms.

Sample Areas of Work:

  • Development of education-specific AI data, models, analytics, and evaluation benchmarks
  • Design, testing, deployment, and assessment of AI tools for teaching, learning, and learner support in ecologically valid environments
  • Creation and/or implementation of models to test, inform, and advance the real-world application of theories of learning, human development, teamwork, decision making, and organizational growth.
  • Creation and study of AI systems to support organizational decision-making, leadership, and improvement in education
  • Design and evaluation of AI systems for workforce learning, organizational knowledge-building, and continuous performance improvement
  • Development of human-AI collaboration, explainable AI, data governance, and accountability frameworks to support equitable and trustworthy use of AI in education
  • Development of data-driven policy analysis, readiness, assessment, and systemic modeling tools to guide effective and scalable AI adoption in education.

The search committee seeks a heterogenous applicant pool with candidates from a wide variety of disciplinary backgrounds. The departmental home within each college will be determined in accordance with the successful candidate's academic profile. The faculty member's administrative home and tenure line will be in Peabody College, with a 51% primary appointment. The faculty member will have a 49% primary appointment in the College of Connected Computing. Teaching responsibilities will be split evenly between the two colleges according to applicable workload policies.

Applicants must demonstrate a commitment to innovation, impact, and interdisciplinary collaboration with faculty across Vanderbilt that are committed to advancing research and practice in the design, development, and evaluation of innovative learning environments that promote human development and flourishing at individual, collective, organizational and societal levels.

Qualifications

A doctoral degree in Learning Sciences, Computer Science, Educational Psychology, Information Science, Cognitive Science, Educational Technology, Human-Computer Interaction, Data Science, Information Science, Leadership, Policy and Organizations or a related field by the time of appointment

  • A record of high-quality innovative research on the design, development, implementation and/or use of AI in educational and organizational settings including in schools, higher education, workplace, or informal learning contexts as evidenced through publications in peer-reviewed journals and conference proceedings.
  • Record of, or potential for, securing external funding to support research and development activities
  • Excellence in teaching and mentoring students at the graduate and undergraduate levels.
  • Ability to teach classes, mentor students, and develop curriculum in both Peabody College and the College of Connected Computing
  • Engagement with mechanisms to generate real-world impact with AI in educational and organizational settings such as community or corporate partnerships, open-source release or licensing agreements, or the development of educational technologies.
  • Capacity and enthusiasm for engaging thoughtfully with researchers and scholars from a wide range of cultural, disciplinary, and academic backgrounds

About Peabody College and its Departments: Peabody College strives to enhance the human condition by creating knowledge about learning and development in their social contexts, by translating discoveries into more effective practice and policy, and by preparing leaders who will generate positive change throughout the nation and the world. Peabody College has five departments with faculty opportunities in Human and Organizational Development, Leadership, Policy and Organizations, Psychology and Human Development, and Special Education.

About the College of Connected Computing: The College of Connected Computing (CCC) is Vanderbilt's groundbreaking interdisciplinary college, designed to foster radical collaboration at the intersection of computing and other disciplines. By uniting scholars, students, and industry, the CCC is committed to addressing society's most pressing problems through technology and collaboration. The CCC already encompasses the Department of Computer Science, the Data Science Institute, and the Center for Generative Artificial Intelligence, creating a rich ecosystem of intellectual exchange and resource sharing and is actively developing new centers of excellence that will provide opportunities for faculty to shape emerging fields, lead groundbreaking research initiatives, and mentor the next generation of interdisciplinary scholars.

About the LIVE Learning Innovation Incubator: LIVE is Vanderbilt's hub for research and practice at the forefront of learning innovation. LIVE brings together interdisciplinary teams of researchers and strategic partners to design and advance cutting-edge approaches that help individuals, communities, schools, workplaces and other organizations thrive in a rapidly changing world. Spanning all of Vanderbilt's colleges and schools, the LIVE community serves as a catalyst for new ideas, a connector of collaborators, and a driver of impactful models, tools, experiences and policies that turn bold visions for learning into reality.

About Vanderbilt: Vanderbilt University is a center for scholarly research, informed and creative teaching, and service to the community and society at large. Vanderbilt upholds the highest standards and is a leader in the quest for new knowledge through scholarship, the dissemination of knowledge through teaching and outreach, and the creative experimentation of ideas and concepts. In pursuit of these goals, Vanderbilt values most highly intellectual freedom that supports open inquiry, compassion, and excellence in all endeavors.

Application Instructions

Applications will be reviewed starting November 15, 2025, and will continue until the positions are filled. Applicants should submit: a letter of interest detailing qualifications for the position, current vita, up to three publications (or manuscripts in progress), and the names of three scholars who will write letters of recommendation. The committee will request three letters of recommendation from a small group of finalists. Please apply at the following link: ;br>
Questions should be directed to the search chair Dr. Scott Crossley with the subject line "Artificial Intelligence in Education and Organizations Faculty Search" at
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