Assistant/Associate Professor of Applied Statistics

Job description

The Culverhouse College of Business at The University of Alabama invites applications for two tenure track or tenured Applied Statistics faculty positions at the assistant/associate professor level with an expected start date of August 16, 2019.


Candidates must hold a Doctorate in Statistics or a closely related field. Successful candidates are expected to conduct and lead independent research in statistics. Candidates with research interests in network analysis, machine learning, statistical learning, or computational and Bayesian methods are especially encouraged to apply. Applicants for the Associate Professor position should have an established record of publication in leading journals and a successful record of obtaining extramural funding. Rank will be commensurate with experience and achievements. Applicants for the Assistant Professor position should have at least three years of experience at the proposed start date of August 16, 2019. The position offers attractive benefits and a competitive business college salary.


Applicants must apply online at and include a one-page cover letter, curriculum vitae, research statement, teaching statement, and names and contact information for three references. Prior to hiring, the candidate must successfully pass a pre-employment background check. The review of applications begins immediately. Applications will be accepted until March 3, 2019. All inquiries should be directed to the search committee chair, Dr. Volodymyr Melnykov, at [email protected]


The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, genetic information, disability, or protected veteran status, and will not be discriminated against because of their protected status. Applicants to and employees of this institution are protected under Federal law from discrimination on several bases.




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Job No:
Posted: 2/4/2019
Application Due: 4/5/2019
Work Type: