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Instructor of Statistics

University of South Carolina
Richland, SC Full Time
POSTED ON 4/2/2025
AVAILABLE BEFORE 6/1/2025

Posting Number
FAC00046PO25

Advertised Title
Instructor of Statistics

Campus
Columbia

College/Division
College of Arts and Sciences

Department
CAS Statistics

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

Location of Vacancy

Part/Full Time
Full Time

Hours per Week
40

Position Category
Full-time Equivalent (FTE)

Basis
9 months

Work County
Richland

Tenure Information
Professional Track

Job Search Category
Faculty

About USC

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.

Benefits for FTE Positions

The University of South Carolina (USC), through the State of SC and Public Employee Benefit Authority (PEBA), offers state employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu.

Position Description

Advertised Job Summary
A successful applicant is expected to teach service courses to undergraduate students and courses for undergraduate majors in statistics. Additional opportunities to collaborate on research, both within and outside the department, are available and will be encouraged, but are not required for retention. This position is ideal for the candidate who is thinking about pursuing a career in academia with teaching as the primary focus. Aside from teaching responsibilities, the successful applicant is also expected to render some service to the department, college, or university.

Required Education and Experience
PhD or Master’s Degree in the Statistical and Data Sciences.

Preferred Qualifications
Strong preference will be given to applicants who have a PhD in the statistical and data sciences and are committed to excellence in teaching. Exceptionally strong candidates with a master’s degree in the statistical and data sciences will also be considered.

Posting Detail Information

Desired Start Date
08/15/2025

Job Open Date
03/31/2025

Job Close Date

Open Until Filled
Yes

Special Instructions to Applicant
Applications must include: (1) a cover letter and a teaching statement; (2) a curriculum vitae; and (3) names and contact information, including telephone number and email address, of three references. Applications are not complete until 3 signed letters are received. Review of applications will begin immediately and will continue until the position is filled.

Inquiries about the positions may be sent to Dr. Xiaoyan (Iris) Lin at lin@stat.sc.edu.

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/185004

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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