Open Rank Tenure-Track Faculty Position in Library & Information Science Focus

Open Rank Tenure-Track Faculty Position in Library & Information Science Focus on AI

Join to apply for the Open Rank Tenure-Track Faculty Position in Library & Information Science Focus on AI role at Inside Higher Ed

The library and information science profession is rapidly changing, and future information professionals will need expertise in data science, machine learning, and application of Artificial Intelligence (AI) technologies. The School of Information Science (iSchool) is expanding its faculty to address the growing need for information professionals trained to understand and apply AI technologies in various information organizations including libraries, museums, government organizations, and private corporations.

We Seek Scholars Whose Research, Teaching, And Impact In The Field Will Advance One Or More Dimensions Of AI In Libraries And Information Organizations, Including But Not Limited To

• Design: Conceptualizing, creating, and evaluating AI-based designs, such as innovative tools or curricula used in libraries, government, and other information organizations
• Practice: Analyzing the potential and complexities of AI as it relates to libraries, librarianship, and teaching and learning.
• Ethical and Societal Implications: Interrogating the ethical, historical, and cultural impacts of AI including considerations of privacy and bias.

The successful candidate will join a team of faculty and will be expected to: (1) establish/continue a strong and ongoing agenda for research; (2) teach in both face-to-face and online environments, primarily at the graduate level, with opportunities to teach in the undergraduate program; (3) develop courses focused on AI, especially AI and libraries; and (4) mentor graduate students.

Required Education And Experience

• Ph.D. in library and information studies or related field, plus relevant experience consistent with academic policy by the start date of employment (at least 5 years for Associate Professor rank or at least 9 years for Full Professor rank).
• Evidence of a focused/established scholarly agenda (for assistant professor candidates, demonstrate the potential of building a scholarly agenda).
• A record of research on AI (for assistant professor candidates, demonstrate the potential in this area), that explores design, practice, and ethical/societal implications of AI.
• Evidence/potential to develop extramural funding.
• Demonstrated commitment to interdisciplinary research.

Preferred Qualifications

• Ability to teach online courses at graduate level.
• Ability to advise graduate students at the Master’s and Doctoral levels.

EEO Statement

The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.