The Department of Statistical Science at Duke University is inviting applications for a Postdoctoral Associate in statistical science with strong skills in applied statistics and or machine learning. Priority will be given to statisticians/CS with expertise in the areas of record linkage, data privacy, and machine learning, and Bayesian methods. This position will be supervised by Assistant Professor (as of June 1) Rebecca C. Steorts, Department of Statistical Science at Duke University with affiliations in the information initiative at Duke (iiD) and the Social Science Research Institute (SSRI). The postdoctoral fellow will be expected to develop new methods and algorithms for record linkage and data privacy, where applications focus on human rights violations, official statistics, personalized medicine, among others. The fellow will be expected to collaborate with computer scientists, machine learners, and those in social science.
No previous experience in record linkage or data privacy methods is necessary. The fellow will be expected to participate in research leading to publications in top statistical and applied journals. The appointment will be for a one year contract with potential for up to two years renewal. Position Qualifications: Applicants must have completed their Ph.D. in Statistics, Biostatistics, Mathematics or Computer Science prior to the date of appointment. Applicant Information: Applicants should email their CV, a brief statement of their background and interests and contact information only for at least three references to Rebecca Steorts at beka[AT]cmu[DOT]edu. All applications received by April 30 will be fully considered, and the position will remain open until filled. Duke University is an Equal Opportunity/Affirmative Action Employer and Educator.