Position Title: Full Professor or Associate Professor Position in High-Dimensional Data Analysis

Duties & Responsibilities: The Department of Statistics at the University of South Carolina invites applications and/or nominations for a Full Professor/Associate Professor position in Statistics. The research focus for this position is in the theory, methodology, and computational aspects related to the analysis of high-dimensional data, such as those in bioinformatics, proteomics, and other “-omics” studies; brain imaging; remote sensing; astronomy, and statistical learning.

Position Qualifications: Applicants must have: an outstanding research record and an international reputation; an excellent teaching record at the graduate and undergraduate levels, including direction of doctoral students; a history of successful extramural research funding; and a willingness to collaborate and be involved in inter-disciplinary research. The appointment will commence August 2013. Review of applications will begin December 1, 2012, while closing date for receipt of applications will continue until the position is filled. A curriculum vitae highlighting research, teaching, and service credentials, and at least three letters of reference, are required. Applications and inquiries for the position should be directed to Edsel Pena, Chair, Faculty Search Committee, Department of Statistics, University of South Carolina, Columbia, SC 29208 USA. Contact e-mail address is pena@stat.sc.edu. The Department currently consists of thirteen tenured/tenure-track faculty and three full-time instructors. Current research areas of the faculty and graduate students include Bayesian inference, survival analysis and reliability, statistical shape analysis, latent variable and mixed effects models, highly structured and/or high-dimensional data, simultaneous inference, group and pooled sample inference, psychometrics and educational measurement, and biomedical and environmental applications. The Department has approximately 40 full-time graduate students each year and offers PhD, MS, Master of Applied Statistics (MAS), and BS degrees. For more information about the University and the Department see the websites www.sc.edu and www.stat.sc.edu. The University of South Carolina’s main campus is located in the state capital, close to mountains and coast. The Carnegie Foundation for the Advancement of Teaching has designated the University as one of only 73 public and 35 private academic institutions with “very high research activity”. The Carnegie Foundation also lists USC as having strong community engagement. The University has over 29,500 students on the main campus (and over 44,500 students system-wide), more than 350 degree programs, and a nationally-ranked library system that includes one of the nation’s largest public film archives. Columbia, the capital of South Carolina, is the center of an increasingly sophisticated greater metropolitan area with a population of over 750,000. 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 or decisions for qualified persons on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, or veteran status.

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Benefits:

Web Site: www.stat.sc.edu

Application Address: Edsel Pena, Chair, Faculty Search Committee, Department of Statistics, University of South Carolina, Columbia, SC 29208 USA.

Contact Email: pena@stat.sc.edu

Application Deadline: open until filled