Assistant Professor – Statistics
The Department of Mathematical Sciences at the University of Cincinnati invites applications for a tenure-track Assistant Professorship in Statistics. The Department has a strong graduate program offering both MS and PhD degrees in statistics, and in pure and applied mathematics. The department is dedicated to excellence in both research and teaching.
Statistics faculty in the department is involved in both methodological and interdisciplinary research. Their research interests include Bayesian methods and statistical methods for massive data, in general, and computer experiments, high-dimensional data analysis, statistical machine learning, and graphical models, in particular.
The normal teaching load for research-active faculty is 6 credit hours per semester with a 25% reduction for new faculty in each of the first 2 years and a reduced service role. The job duties include maintaining an active research program In Statistics to constantly seek external funding, to mentor graduate students, and to teach both graduate and undergraduate courses in Statistics and related areas.
Completed applications consisting of a cover letter, CV, description of research program (if applicable), description of teaching experience (if applicable), and three letters of recommendation should be submitted on https://www.mathjobs.org/jobs/jobs/7689. Applicants must also complete an online application and submit a CV and cover letter on UC's recruitment system at https://jobs.uc.edu/job/Cincinnati-Assistant-Professor-Math-%28Statistics%29-OH-45201/298477200/.
Review of applicants will begin on December 1, 2015 and the position will remain open until filled. The appointment will begin on August 15, 2016. The position requires a PhD degree in the area of statistics or equivalent awarded by August 14, 2016. Inquiries concerning the position should be directed to, Dr. Siva Sivaganesan, the Search Committee Chair, or Dr. Shuang Zhang, Head, Department of Mathematical Sciences.
The University of Cincinnati is an equal opportunity/affirmative action employer with a strong commitment to diversity. We actively seek a broad spectrum of candidates including women, people of color, people with disabilities and veterans.
