[ES_JOBS_NET] Rutgers-New Brunswick – Postdoctoral Associate: Developing computational frameworks for analyzing sea-level change and projecting future sea-level rise and coastal flood risk

Robert Kopp robert.kopp at rutgers.edu
Mon May 21 19:58:14 MDT 2018


Rutgers University-New Brunswick
Postdoctoral Associate: Developing computational frameworks for analyzing sea-level change and projecting future sea-level rise and coastal flood risk

The Rutgers University Earth System Science & Policy lab is seeking a postdoctoral scientist or engineer with a strong computational background to join its work on interpreting the drivers of past and current sea-level rise and on assessing and managing future sea-level changes and coastal flood risks. The postdoctoral researcher will join a transdisciplinary, multi-institutional collaboration whose projections have been used by other researchers, by economic analysts, and by federal, state, and local stakeholders around the United States.

The postdoctoral researcher will work with scientists in the Earth System Science & Policy Lab to develop computational frameworks for integrating multiple lines of evidence statistically to interpret and attribute ongoing sea-level rise, for linking modern observations to geological reconstructions, and for projecting future sea-level change and coastal flood risk. The position will be in collaboration with the RADICAL Laboratory, in the Rutgers School of Engineering, and the Department of Data Driven Discovery at Brookhaven National Laboratory.

The postdoctoral researcher will work within the Rutgers Institute of Earth, Ocean, and Atmospheric Sciences as part of a new initiative linking together the Earth system sciences, statistics, and computer science/engineering, and will collaborate with sea-level scientists nationally through the NASA Sea Level Change Team.

A PhD in an Earth system science, computational science or engineering, or data science discipline is required. A strong computational background, including familiarity with high-performance computing environments, is essential. Familiarity with Bayesian statistical methods and spatio-temporal statistical methods are a plus, as are strong writing skills. Interest in climate modeling, sea-level physics and ice-sheet physics is essential, although past experience in these areas is not required.

For more information, and to apply: https://jobs.rutgers.edu/postings/66077


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