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Postdoctoral Research in Data Science for Spatial Ecology

Stanford CA or Hilo HI

A postdoctoral research position is available for a scientist interested in the application of quantitative data science approaches to regional and global ecological applications.

The postdoctoral researcher will apply theoretically and methodologically rigorous data science approaches in studies of spatial ecology in terrestrial and marine environments. Specific projects will use advanced data science techniques to integrate information from satellite, aircraft (Carnegie Airborne Observatory; http:cao.carnegiescience.edu), and models to study forest and coral reef ecosystems.

A Ph.D. in a computational data science or closely related field is required. A mastery of one or more analytical approaches including deep learning and machine learning, Bayesian statistics, and geospatial modeling is essential to this position. Strong computer programming, scientific writing, and English communication skills are required.

The position could either be based at the Carnegie Institution’s Department of Global Ecology in Stanford, California, or in the Carnegie Airborne Observatory’s laboratory in Hilo, Hawaii, depending upon the applicant’s interests. The successful applicant will work closely with Carnegie Staff Scientist Greg Asner.


Please submit a cover letter, CV, and contact information for three recommendations.


Posted November 24, 2017

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