Assistant Professor of Statistics at University of South Carolina in Columbia, South Carolina

Job Description:

Logo:

Posting Number:

FAC00194PO22

Advertised Title:

Assistant Professor 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.

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.

Inclusive Excellence Statement:

At the University of South Carolina, we strive to cultivate an inclusive environment that is open, welcoming, and supportive of individuals of all backgrounds. We recognize diversity in our workforce is essential to providing academic excellence and critical to our sustainability. The University is committed to eliminating barriers created by institutional discrimination through accountability and continuous process improvement. We celebrate the diverse voices, perspectives, and experiences of our employees.

Advertised Job Summary:

The Department of Statistics at the University of South Carolina, Columbia invites applications for an Assistant Professor position in statistics and data science. All research areas in statistics will be considered, and applicants with expertise in modern data science are especially encouraged to apply. Appointment will commence August 16, 2023.


The Department currently consists of twelve tenured/tenure-track faculty and five full-time instructors. Current research areas of the faculty include survival analysis, Bayesian statistics, latent variable methods, semiparametric and nonparametric modeling, highly structured data, deep learning, functional data, stochastic processes, and statistical genetics. The Department has about 40 full-time graduate students and offers PhD, MS, and BS degrees. For more information about the University and the Department, see www.sc.edu and www.stat.sc.edu, respectively.

Required Education and Experience:

Applicants must have a PhD in Statistics, Biostatistics, or a closely related field by the start date of employment, potential for outstanding research, and demonstrated evidence of excellence in teaching.

Preferred Qualifications:

None.

Desired Start Date:

08/16/2023

Job Open Date:

09/19/2022

Open Until Filled:

Yes

Special Instructions to Applicant:

Review of applications will begin October 15, 2022 and will continue until position is filled. Inquiries about the positions may be sent to FacultySearch@stat.sc.edu. Applicants must include a CV, a cover letter, research and teaching statements, and the names and contact information of three references.


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/129244

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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