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Assistant Professor of Statistics

Job in Columbia, Lexington County, South Carolina, 29228, USA
Listing for: Inside Higher Ed
Full Time position
Listed on 2026-01-02
Job specializations:
  • Education / Teaching
    University Professor, Academic
Job Description & How to Apply Below
Location: Columbia

Overview

Assistant Professor of Statistics — 9-month, full-time, tenure-track position at the rank of Assistant Professor. Begin August 16, 2026. Campus:
Columbia. College/Division:
College of Arts and Sciences. Department: CAS Statistics. Work County:
Richland. Tenure Information:
Tenure-Track/Tenured. Hours per Week: 40. Position Category:
Full-time Equivalent (FTE). Basis: 9 months. Open Until Filled:
Yes.

Posting Details

Posting Number: FAC
00140PO25

Advertised

Title:

Assistant Professor of Statistics

Advertised Salary Range:
We offer a competitive salary and benefits package.

About University Of South Carolina

From the Upstate to the Low country, 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 Statistics 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.

Required Education And Experience

The position requires a doctoral degree in Statistics, Biostatistics, or Computer Science or other related field with a strong background in Statistics by the starting date of the position.

Preferred Qualifications

Preferred applicants will have a research focus in Reinforcement Learning in Statistics, Causal Inference, Probabilistic Graphical Models, Precision Decision-Making, or Artificial Intelligence and have a strong record of or potential for publishing research in top-tier outlets, high potential to secure external research funding, the ability to develop effective research collaborations within and outside the department, and eagerness to teach a variety of statistics courses with excellence at the undergraduate and graduate levels.

Dates

Desired

Start Date:

08/16/2026

Job Open Date: 08/26/2025

Open Until Filled:
Yes

Special Instructions To Applicant

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

(Use the "Apply for this Job" box below)./193443

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.

Seniority

level
  • Entry level
Employment type
  • Full-time
Job function
  • Education and Training
Industries
  • Online Audio and Video Media

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