Assistant Professor and Open Rank Positions
Statistics/Data Science
The Department of Statistics at the University of South Carolina, Columbia invites applications for two faculty positions. One position will be at the tenure-track Assistant Professor rank, while the other position’s rank will be open (tenure-track Assistant Professor or Associate/Full Professor). These hires are part of a college and university-wide initiative to advance data science by using an interdisciplinary approach. All research areas in statistics will be considered, and applicants with expertise in modern data science are especially encouraged to apply. Appointments for both positions will commence August 16, 2023.
Applicants for the tenure-track Assistant Professor position 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. Applicants for Associate or Full Professor rank must have years of relevant experience commensurate with academic policy and an established record of excellence in research, teaching, and service to the profession.
Review of applications for the tenure-track Assistant Professor position will begin October 15, 2022; review for the open rank position will begin December 1, 2022. We will continue to review applications until both positions are filled. Inquiries about the positions may be sent to Dr. Joshua M. Tebbs (Department Chair; email: tebbs@stat.sc.edu). All applicants must submit an online application through the university’s employment system (USC Jobs) at https://uscjobs.sc.edu (Assistant Professor: https://uscjobs.sc.edu/postings/129244; Open Rank: https://uscjobs.sc.edu/postings/129240). Assistant Professor candidates are allowed and encouraged to apply for both positions. Applicants must include a CV, a cover letter, research and teaching statements, and the names and contact information of three references.
The Department currently consists of twelve tenured/tenure-track faculty and eight full-time instructors. Current research areas of the faculty include survival analysis, Bayesian statistics, latent variable methods, semiparametric and nonparametric modeling, highly structured data, statistical learning, functional data, and statistical genetics. The department has about 35 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.
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.
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.
The University of South Carolina is an affirmative action, equal opportunity employer. Minorities and women are encouraged to apply. The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth, or related medical conditions.