Postdoctoral Position in Climate Modeling and Fisheries at Princeton University

The Atmospheric and Oceanic Sciences Biogeochemistry group at Princeton University is seeking applicants for a postdoctoral position in the area of modeling climate impacts on global fisheries.  The position is part of a long-term multi-institutional effort, the Nereus Program, established in collaboration with the Nippon Foundation and University of British Columbia to improve multi-decadal scale predictions of global ocean fisheries.

The individual will join a vigorous interdisciplinary research group under the joint direction of Prof. Jorge Sarmiento of Princeton University and Dr. Charlie Stock of NOAA’s Geophysical Fluid Dynamics Laboratory.  He/she will also be able to take advantage of a wide range of related research at Princeton University and at Nereus partner institutions: The University of British Columbia, Duke University, University of Cambridge, Stockholm University and the University of Utrecht.  Areas of particular interest for this position include: improving biogeochemical climate-change projections, expanding these projections to improve their utility for fisheries and living marine resource impact assessments, and developing more mechanistic and integrated representations of climate-fisheries interactions.

Preferred candidates must possess a Ph.D. within three years of the starting date for the appointment, in biological oceanography, fisheries science and management, earth sciences, applied math, or the physical, biological, or chemical sciences.  An ability and interest to work across these disciplines is a must, as are strong modeling, quantitative, and statistical skills.

Applicants are asked to submit vitae, a statement of research experience and interests, and names of at least 3 references.  Review of applications will begin as soon as they are received, and continue until the position is filled.  This position is subject to the University’s background check policy.

https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=101

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