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

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

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

Preferred Qualifications

Equal Employment Opportunity 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 (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.

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