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Assistant Professor-AI & Data Science
Assistant Professor-AI & Data ScienceInsideHigherEd • Columbia, South Carolina, United States
Assistant Professor-AI & Data Science

Assistant Professor-AI & Data Science

InsideHigherEd • Columbia, South Carolina, United States
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Logo : Posting Number :

FAC00163PO25

Advertised Title :

Assistant Professor-AI & Data Science

Campus : Columbia

College / Division :

College of Arts and Sciences

Department : CAS Sociology

Advertised Salary Range :

We offer a competitive salary and benefits package.

Part / Full Time : Full Time

Hours per Week : 40

Position Category :

Full-time Equivalent (FTE)

Basis : 9 months

Work County : Richland

Tenure Information :

Tenure-Track / Tenured

Job Search Category :

Faculty

About University of South Carolina :

From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.

Advertised Job Summary :

The faculty of the Department of Sociology at the University of South Carolina, Columbia campus, invites applications for a 9-month, full-time, tenure-track position at the rank of Assistant Professor to begin August 16, 2026. We seek candidates with expertise in the areas of socially informed artificial intelligence and / or data science. We view these areas each as broadly construed to range from things like their effects in society to their production and development, and correspondingly seek candidates from a full spectrum of methodological orientations. This position is part of a cluster of targeted hires supported by a broader presidential hiring initiative, which will offer a cohort of incoming scholars sharing focus on these broad themes, enhancing sociology’s contributions to this initiative.

Successful candidates will be expected to maintain an active program of research, teach, contribute to departmental service, and mentor graduate students in our Ph.D. program.

Required Education and Experience :

  • Applicants must have a PhD degree in sociology or a closely related field by the start date of employment.

Desired Start Date : 08 / 16 / 2026

Job Open Date : 09 / 08 / 2025

Open Until Filled : Yes

Special Instructions to Applicant :

Applications must include : (1) a cover letter that describes their research and teaching interests (2-3 pages), (2) a curriculum vitae, (3) a writing sample exemplar of their research germane to the position, and (4) the names and email addresses of 3 references, who will not be contacted until after the initial screening process.

We will begin reviewing applications on Oct 10, 2025. Inquiries about this position may be directed to Recruitment Chair jimi adams – jimi.adams@sc.edu.

Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This position is open until filled. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.

Quicklink for Posting :

https : / / uscjobs.sc.edu / postings / 194374

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 (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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Data Science • Columbia, South Carolina, United States

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