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The High Meadows Environmental Institute (HMEI; https://environment.princeton.edu) invites applications for a postdoctoral research associate(s) or a more senior research position to join Dr. Gabriele Villarini's research group (www.gabrielevillarini.com). The research will involve performing multi-decadal, continental-scale hydrologic simulations and flood-inundation mapping under current and future conditions. The outputs of the hydrologic/hydraulic modeling will be intersected with socio-demographic data to examine flood impacts on different segments of the population, particularly on disadvantaged and marginalized communities. The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/33861 and submit a cover letter, curriculum vitae, a brief statement of research interest, and names and contact information for three references. All materials must be submitted online. Required Qualifications: Ph.D. in a relevant science or engineering field is required. Candidates from subsets of fields including hydrology, scientific computing and applied mathematics are particularly encouraged to apply. Experience in hydrologic/hydraulic modeling and processing/analyzing large data sets and model outputs is required. Candidates with experience in hydrologic/hydraulic model development are particularly encouraged to apply. Expertise in computer programming in Python and high-performance computing is required. Knowledge of programming in C/C++ is desirable. This position is subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University Princeton University is an equal opportunity employer/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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