Postdoc in dengue modeling and remote sensing at Stanford University, USA


A postdoc position is available at Stanford University to use mathematical models, field data, and remote sensing to predict dengue transmission, and to apply the predictive models to improve vector control in Kenya and Ecuador. The postdoc will work with Erin Mordecai (, Desiree LaBeaud (, and Eric Lambin ( on a project funded by the Woods Institute for the Environment’s Environmental Ventures Program ( The appointment is for two years.

The postdoc will work to combine mechanistic, climate-driven models of dengue transmission with remote sensing data to predict dengue transmission in Ecuador and Kenya. The postdoc will collaborate with field researchers and policymakers in Ecuador and Kenya sites to integrate the predictive models into vector control policy. The position will be based at Stanford University, but the postdoc will have the opportunity to travel to Kenya and Ecuador for short periods to meet with policymakers.

Candidates with strong analytical and remote sensing data analysis skills, and backgrounds in ecology, evolution, or infectious disease biology are especially encouraged to apply. The successful candidate will be an independent, highly motivated problem solver who communicates well and enjoys working in a collaborative, interdisciplinary environment.

To apply, please send a cover letter that describes your interest in the project, a curriculum vitae, and the contact information for three references to Erin Mordecai at Please combine all components of the application into a single file and include “EVP postdoc” in the subject line. Review of applications will begin on September 12, 2016 and continue until the position is filled.