Postdoctoral Research Associate
The Atmospheric and Oceanic Sciences Program at Princeton University in cooperation with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL) seeks a postdoctoral or more senior research scientist to conduct studies on the seasonal predictability of atmospheric rivers. The project aims (1) to improve our understanding of the processes that contribute to the seasonal predictability of atmospheric rivers and their associated precipitation extremes, particularly over North America, and (2) to identify pathways to improve the simulation of atmospheric river activity in state-of-the-art subseasonal-to-seasonal dynamical forecast models. Under the supervision of Dr. Nat Johnson, the selected candidate is expected to leverage available observational and global climate model data to develop diagnostics for seasonal atmospheric river and extreme precipitation predictability. A primary outcome will be an assessment of seasonal atmospheric river activity predictability (out to 12 months) in two NOAA seasonal prediction systems, GFDL's Seamless System for Prediction and EArth System Research (SPEAR) and NCEP's Unified Forecast System (UFS). Additional outcomes include one or more peer-reviewed publications led by the candidate and the development of process-oriented diagnostics for the simulation of atmospheric river statistics in dynamical forecast models, which may include diagnosing the roles of atmospheric resolution, model biases, and small-scale ocean-atmosphere interaction and boundary layer processes in coastal regions.
The selected candidate will have a Ph.D. in atmospheric science, hydrology, or a related field. Candidates with strong backgrounds in climate variability and the analysis of large datasets and with strong written and oral communication skills are preferred. Initial appointment is for one year with the possibility of renewal subject to satisfactory performance and available funding. This position is subject to the University's background check policy. Complete applications include a CV, publication list, research statement (no more than 2 pages including references), and 3 letters of recommendation. Princeton is interested in candidates who, through their research, will contribute to the diversity and excellence of the academic community. Applicants should apply online at https://www.princeton.edu/acad-positions/position/26521.
Review of applications will begin September 20, 2022, but applications received after that date may still be considered. 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.