Professional-Track Faculty Position School of Information Science BSIS

Overview

The School of Information Science (iSchool) at the University of South Carolina invites applications for a full‑time professional‑track faculty position to begin August 16, 2026. The appointment may be at the Teaching Assistant Professor or Instructor level, depending on qualifications and unit criteria. The successful candidate will teach courses related to user experience research and design; the social and ethical dimensions of AI and data analytics;

cybersecurity in organizational contexts; information integrity and media literacy; and the role of data and information in shaping policy, organizations, and society.

• Teach undergraduate courses, with opportunities to teach at the graduate level. Courses may be delivered in face‑to‑face, online, or hybrid formats.
• Participate in shared governance and service activities.

• Ph.D. or Master’s degree in Information Science or a closely related field by the start date of employment.
• Minimum of two years of professional or academic experience in a related area such as information integrity, user experience research/design, data ethics and policy, organizational communication, or the social impacts of AI and cybersecurity.

• Teaching experience is not required, but desired.

Applications must include:

• Cover letter
• Resume or Curriculum vitae
• List of three references (including name, phone number, and email)
• Three letters of recommendation signed and on letterhead (included only for candidates selected as finalists)

Applications should be submitted through the USCJobs portal at (Use the "Apply for this Job" box below). Inquiries about this posting should be directed to Search Committee Chair Darin Freeburg .

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 (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.