Modeling and Understanding the Observed Multidecadal to Century-Scale Trends at Regional-to-Global Scales
The Cooperative Institute for Modeling the Earth System (CIMES) at Princeton University, in cooperation with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior scientist for research related to modeling and understanding the causes of observed multi-decadal to century-scale trends of precipitation at regional-to-global scales. A prominent issue with simulated precipitation in current climate models is the inability of the models to reproduce observed strong rising trends in precipitation since 1900 over middle and higher latitude land regions around the globe. The position will be focused specifically on improved understanding of the physical mechanisms responsible for biases in NOAA/GFDL models. Analysis of existing and new numerical simulations will further document the biases and will focus on testing potential mechanisms for explaining them. Both recent graduates and more senior candidates will be considered for this position. The selected candidate will have a Ph.D. and one or more of the following attributes: (a) a strong background in climate/atmospheric dynamics (b) experience using and analyzing coupled climate models and (c) strong diagnostic skills in analyzing simulated and observed data sets.
This appointment is for one year subject to renewal for a second year based on satisfactory performance and funding. Successful candidates will be based at GFDL in Princeton, New Jersey. For further information, please contact (Tom.Knutson@noaa.gov ) or Elena Shevliakova (Elena.Shevliakova@noaa.gov).
Complete applications, including a CV, publication list, three references in order for CIMES/GFDL to solicit letters of recommendation if needed, and a one-to-two page statement of research interests should be submitted by May 1, 2021 11:59 p.m. EST to ensure full consideration; evaluation will be ongoing until the position is filled. Princeton is interested in candidates who, through their research, will contribute to the diversity and excellence of the academic community. Applicants should apply online https://www.princeton.edu/acad-positions/position/19942.
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.
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