Duke University, Statistical Science
*** this position has been closed and new applications are no longer accepted. ***
Position Description
This position will focus on the development and application of novel statistical methods motivated by problems in assessing health effects of environmental contaminants. The ideal candidate would be finished or close to finishing their PhD in Statistics or a closely-related field. A successful track record in statistical theory and methodology development is a prerequisite, and it is desirable to have experience in Bayesian modeling of high-dimensional data with non-linear and/or nonparametric methods, as well as in associated theory and computation.The position will be supervised by Professor David Dunson (dunson@duke.edu), and will start as soon as possible. Interested candidates should submit a CV and informal statement of interest to Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/25471). Applications will be reviewed as they are submitted.
Duke is an 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, (including pregnancy and pregnancy related conditions), sexual orientation, or military 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.
Application Materials Required:
- Curriculum Vitae
- Statement of background and research interests
- Three references (no actual letters, just names and email addresses
)
Further Info: