Postdoctoral Research Associate - Predicting & Projecting Hydroclimate Extremes on Seasonal to Multdecadal Time Scales
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 predicting and projecting changes in hydroclimate extremes on seasonal to multidecadal time scales, including extremes associated with tropical cyclones and extratropical storms. 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 analyze large data sets from multiple large ensembles conducted with high-resolution versions of the GFDL SPEAR model, with atmosphere-land horizontal resolutions as fine as 25 km. These ensembles span the period 1921-2100 and will be used to explore projected changes in hydroclimate extremes, especially on regional scales. The incumbent may also use real-time seasonal to decadal predictions and hindcasts with SPEAR to explore predictions of extremes on seasonal to decadal scales. The incumbent will be encouraged to use novel diagnostic techniques including but not limited to machine learning and neural networks, and new physical insights to explore these topics.The selected candidate will have one or more of the following attributes: (a) a strong background in climate dynamics, atmospheric science, environmental statistics 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, Computer Science, Environmental Engineering, or a closely related field. The initial appointment is for one year with the possibility of renewal subject to satisfactory performance and available funding. Applicants should apply online https://www.princeton.edu/acad-positions/position/16761. Complete applications include a cover letter, CV, publication list, a statement of research interests and 3 letters of recommendation. Review of applications will begin September 15, 2020 and continue until the position is filled. For additional information, contact Tom Delworth (email@example.com), Sarah Kapnick (firstname.lastname@example.org) or Hiro Murakami (email@example.com).This position is subject to Princeton 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.
Internal Number: 123520413
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