Postdoctoral Associate

The Department of Statistical Science at Duke University 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) methods for protecting data confidentiality, including methods for generating synthetic data in complex surveys and approaches for obtaining valid inferences from and algorithms for differentially private data, (2) methods for 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 ideal candidate will hold a Ph.D. in statistical science or a related field and will have strong background in complex Bayesian modeling, computation in high dimensions, and an interest in social science/government applications. No previous experience in data confidentiality or missing data methods is necessary, although such experience will be viewed favorably. The Associate will be expected to participate in methodological research leading to publications in top statistical and applied journals. The appointment will be for a one-year contract with potential for renewal. 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 January 15 will be fully considered, and the position will remain open until filled. 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. #J-18808-Ljbffr The International Society for Bayesian Analysis