The Department of Statistical Science at Duke University and the National Institute of Statistical Sciences invite applications for two Postdoctoral Associates in statistical science. The Associates will work on research related to (1) developing and implementing Bayesian approaches for record linkage in large-scale databases, including accounting for uncertainty in inference or data construction; and (2) developing and implementing flexible Bayesian modeling approches for large-scale social science data, with applications to missing data and protecting confidentiality of data subjects. The Associate will be supervised by Jerry Reiter at Duke and Alan Karr at NISS, and will have the opportunity to interact and collaborate with faculty in Statistical Science, Economics, Political Science, and the Information Initiative at Duke. The Associate will be funded by the NSF NCRN node at Duke/NISS and will be part of a nationwide network of similar research centers working to improve federal agencies'statistical methodology and practice (see http://sites.duke.edu/tcrn/ for more).
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 record linkage methods is necessary. The Associate 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 additional years renewal.
Salary is $80,000 per year.
Applicants should email their CV, a statement of their background and interests, and contact information only for at least three references to:
Jerry Reiter
Mrs. Alexander Hehmeyer Professor of Statistical Science Duke University Este enderezo de correo está a ser protexido dos robots de correo lixo. Precisa activar o JavaScript para velo.
All applications received by January 15 will be fully considered. The position will remain open until filled.