Postdoctoral Associate - Duke University

Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Duties and Responsibilities
The Department of Statistical Science at Duke University in Durham, NC, is inviting applications for a Postdoctoral Associate in statistical science. The Associate will work on methodological research related to one or more of the following topics, depending on the candidate's interests: (1) generating and assessing disclosure risks of synthetic data in complex surveys, (2) designing and obtaining valid inferences from differentially private algorithms, and (3) handling missing values in large-scale social science data. The Associate will be supervised by Jerry Reiter, professor in the Department of Statistical Science. The appointment will be for a one-year contract with potential for renewal.

Position Qualifications
The ideal candidate will hold a Ph.D. in statistical science or a related field and will have strong background in Bayesian modeling and computation, and an interest in social science/government applications. No previous experience in data confidentiality or missing data methods is necessary, although such experience is viewed favorably. The Associate will be expected to participate in methodological research leading to publications in top statistical and applied journals.

Application Instructions
Applicants should apply through Academic Jobs Online ( Materials to upload include a CV, a statement of background and interests in the particular research described above, and contact information only for three references. All applications received by November 15 will be fully considered. The position will remain open until filled.

Application Deadline