The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior scientist for research related to seasonal to decadal climate variability, predictability and change. The research will make extensive use of both observations and a variety of modeling tools, including the latest generation of GFDL climate models. The selected candidate will engage in research in one or more of the following areas: (1) research to explore predictability of the climate system on seasonal to decadal time scales, including climate extremes with an emphasis on hydroclimate; (2) research to better understand the mechanisms of climate variability and predictability, including interactions among the ocean, land, and atmosphere, the role of the stratosphere, and the impact of radiatively forced climate change on variability and predictability; (3) research to improve initialization systems for climate prediction and to assess the connection between initialization systems and skill on seasonal to decadal time scales. Candidates wishing to focus on a specific timescale (seasonal, multiannual, decadal) will also be considered.The selected candidate will have one or more of the following attributes: (a) a strong background in climate dynamics or a closely related field, (b) experience using and analyzing climate models, and (c) strong diagnostic skills in analyzing large data sets.Candidates must have a Ph.D. in Atmospheric Science, Oceanography, or a closely related field. The initial appointment is for one year with the possibility of renewal subject to satisfactory performance and available funding. Complete applications, including a CV, publication list, and 3 letters of recommendation should be submitted by September 30, 2019 for full consideration. Applicants should apply online to http://jobs.princeton.edu/acad-positions/position/xxxxx. For additional information, contact Tom Delworth (firstname.lastname@example.org) or Sarah Kapnick (email@example.com).This position is subject to the University's background check policy.Princeton University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by
Internal Number: 119093871
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