Open-Rank Tenured/Tenure-Track Faculty Positions

The University of Texas at Austin • Austin, TX

1d • Onsite

About The Position

The Department of Information (iSchool) at The University of Texas at Austin invites applications for open-rank, tenured and tenure-track faculty positions at the Assistant, Associate, or Full Professor level, beginning Fall 2027. This open-area search welcomes exceptional candidates from any field, particularly scholars whose expertise spans or connects areas such as archives and digital curation, AI and health, human-centered AI, human-centered data science, human-computer interaction and design, information behavior, and information security and privacy. The department is especially interested in research that bridges these areas or connects them to other parts of the information field and beyond.

Faculty are expected to conduct innovative and impactful research and teach at both graduate and undergraduate levels. The normal teaching load for tenured and tenure-track faculty is 2/1, with opportunities for course releases and buyouts. Salaries are competitive. Appointees will join a founding department of UT Austin’s School of Computing and may collaborate with colleagues across the university, including through joint appointments. The department is interdisciplinary and welcomes scholars from a broad range of academic disciplines.

The department and university provide research resources and collaborative opportunities in areas including AI, health, responsible AI, information behavior, human-computer interaction, human-centered data science, and archival research and education. Resources include the Information eXperience Lab and its eye-tracking, physiological-measurement, and usability facilities; the Department’s Conservation Lab; university-wide AI research initiatives and computing resources; and substantial health and archival research communities.

Applicants must hold a doctoral degree in a field relevant to their research and teaching, or convincingly demonstrate that they will complete it before the position begins. Candidates for tenured appointment at Associate or Full Professor rank must have a substantial record of research, teaching, and service commensurate with that rank at a leading research university. The department seeks candidates with outstanding records of research, teaching, mentoring, service, and leadership, and a commitment to shaping the future of the department and the information field. Applications should explain the intellectual contribution and merit of the candidate’s research agenda and identify relevant research communities.

Requirements

• Doctoral degree in a field relevant to the candidate’s research and teaching, or convincing evidence that the degree will be completed before the position begins.
• For appointment with tenure at Associate or Full Professor rank: substantial research, teaching, and service record commensurate with that rank at a leading research university.
• Outstanding record of research, teaching, mentoring, service, and leadership.
• A compelling research agenda demonstrating intellectual contribution and merit.

Nice To Haves

• Expertise spanning or connecting multiple areas of information research, such as archives and digital curation, AI and health, human-centered AI, human-centered data science, human-computer interaction and design, information behavior, and information security and privacy.
• Research that creates opportunities for collaboration with Computer Science, Statistics and Data Science, or other UT Austin units.
• Research interests aligned with the department’s interdisciplinary areas, including information science, computer science, data science, archival studies, library and information science, human-centered computing, science and technology studies, communication, psychology, design, computational linguistics, and electrical and computer engineering.

Responsibilities

• Conduct innovative and impactful research.
• Teach at both graduate and undergraduate levels.
• Contribute to research, teaching, mentoring, service, and leadership in the Department and the broader information field.
• Develop collaborations with colleagues in the School of Computing and elsewhere at UT Austin, as appropriate.

Benefits

• Competitive salaries
• Opportunities for course releases and buyouts
• Endowments available to support appointments, including the Governor Bill Daniel Professorship in Archival Enterprise

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree