Postdoc opportunities working with Prof. Andrew Gelman in the Department of Statistics on problems related to hierarchical modeling and statistical computing, with projects including high-dimensional modeling, missing-data imputation, and parallel computing. Application areas include public opinion and voting, social networks, international development, dendrochronology, and models of cancer and drug abuse. Applicants should have experience with Bayesian methods, a willingness to program, and an interest in learning. Applications will be considered as they arrive. The application consisting of cover letter, cv and a selection of published or unpublished articles should be emailed to [email protected]. Please also arrange for three letters of recommendation to be sent to the same email address. This is an exciting place to work: our research group involves several faculty, postdocs, graduate students, and undergraduates working on a wide range of interesting applied problems. We also have strong links to the Earth Institute, the Center for Computational Learning Systems, and the Columbia Population Research Center, as well as to Statistics, Political Science, and other academic departments at Columbia. As a postdoc here, you will have an opportunity to work on collaborative projects on theory, application, computation, and graphics. You can talk to our current and former postdocs if you want to hear how great it is to work here. Positions are usually for two years. Columbia University is an Equal Opportunity/Affirmative Action employer.

Also, if you’re finishing up your Ph.D. in statistics, have interest in public health and international development, and would like to work with me, please contact me regarding the Earth Institute postdoc. Application deadline is 1 Dec, so time to get moving on this!