The Atmospheric and Oceanic Sciences Program at Princeton University in cooperation with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), National Ocean Service (NOS) National Centers for Coastal Ocean Science (NCCOS) and the Northeast Fisheries Science Center (NEFSC), seeks a postdoctoral or more senior research associate to develop predictions and projections of the response of coastal habitats and living marine resources (i.e. fish, corals, submerged aquatic vegetation, sea turtles, seabirds, mammals) to climate variability and change using downscaled global climate models for the U.S. Northeast Shelf Large Marine Ecosystem (U.S. NES LME). Projects would leverage recent advances in statistical downscaling for estuarine environments, dynamical downscaling for the Northeast US Shelf and estuaries, and could consider seasonal to century scales. The overarching objective is the development of innovative management-relevant applications that advance ecosystem-based marine resource management in the region.
PhD is required. Candidates with quantitative, interdisciplinary knowledge from subsets of fields including marine ecology/fisheries ecology, oceanography, geospatial modeling, and climate science are encouraged to apply. Experience conducting statistically rigorous uncertainty assessments, conducting spatio-temporal analyses of large data sets and/or model output, and developing habitat and/or population models for marine resources is highly desirable.
This is a one-year position (subject to renewal after the first year) based at NOAA GFDL in Princeton, New Jersey. Complete applications, including a CV, publication list, 3 references in order to solicit letters of recommendation, and a one-to-two page statement of research interests must be submitted to https://www.princeton.edu/acad-positions/position/1561 no later than June 15, 2017, for full consideration. This position is subject to the University's background check policy.
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.