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Tenure-Track Faculty Position in Library & Information Science – Focus Artificia.

Job in Columbia, Lexington County, South Carolina, 29228, USA
Listing for: Inside Higher Ed
Full Time position
Listed on 2025-12-30
Job specializations:
  • Education / Teaching
    University Professor, Academic
Job Description & How to Apply Below
Position: Open Rank Tenure-Track Faculty Position in Library & Information Science – Focus on Artificia...
Location: Columbia

Open Rank Tenure-Track Faculty Position in Library & Information Science – Focus on Artificial Intelligence

Posting Number: FAC
00192PO25

Campus:
Columbia

College:
College of Information and Communications

Department: CIC School of Information Science

Salary:
Commensurate with experience

Full Time, 37.5 hours per week, 9 months basis

Job Summary

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.

Recognizing the transformative potential of AI to society and the significant impact on libraries and information organizations, the iSchool at the University of South Carolina invites applications for a full‑time tenure‑track position at the rank of Assistant/Associate/Full Professor focused on AI related to library and information science to begin on August 16, 2026.

  • 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
Responsibilities

• Establish/continue a strong and ongoing agenda for research;

• Teach in both face‑to‑face and online environments, primarily at the graduate level, with opportunities to teach undergraduate courses;

• Develop courses focused on AI, especially AI and libraries;

• Mentor graduate students.

Required Qualifications
  • Ph.D. in library and information studies or related field, with at least 5 years of experience for Associate Professor rank or 9 years for Full Professor rank, at time of appointment
  • Evidence of a focused/established scholarly agenda centered on AI, exploring design, practice, and ethical/societal implications
  • Evidence of secured or potential extramural funding
  • Demonstrated commitment to interdisciplinary research
Preferred Qualifications
  • Ability to teach online graduate courses
  • Ability to advise graduate students at Master’s and doctoral levels
Desired Start Date

August 16, 2026

Application Documents
  • Letter of application including research statement focusing on AI
  • Curriculum vitae
  • Two sample publications or scholarly works
  • List of three references with contact information
  • Three letters of recommendation (only required for finalists) emailed directly to Rachel Rolli at rachelrolli; letters may be uploaded to USCJobs at initial application
Final date to receive applications

October 27, 2025 (position will remain open until filled)

Contact

Search Committee Chair:
Dr. Susan Rathbun‑Grubb – SRATHBUN.edu

Employment Details
  • Seniority level:
    Mid‑Senior level
  • Employment type:

    Full‑time
  • Job function:
    Education and Training
  • Industry: Online Audio and Video Media
EEO Statement

The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.

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