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Job Category: Postdocs

Post Doctoral Research Position - Urban Flood Forecasting

We seek a highly motivated postdoctoral research associate to conduct innovative research on urban flood forecasting and disaster recovery modeling as part of the C-ACCEL project funded by NSF. The interest is to develop multi-time scales (daily, weekly, subseasonal and seasonal) urban flood forecasts using products such as Multi-radar/Multi-Sensor System.  Applicants with experience in modeling critical infrastructure failure and recovery are also strongly encouraged to apply.  Ideal candidate should have a Ph.D. degree in civil engineering or in a related field with a strong background in hydrological forecasting, systems modeling and applied statistics.  Interested candidates should submit their application (see below) with the following information: (1) curriculum vita, (2) a letter describing research interests and experience, (3) recent publications (not more than three) and (4) names and contact information for three references. For full consideration, please apply before October 25, 2019.

Postdoctoral Scholar - Modeling Nitrogen Saturation in Xeric Watersheds

The Fire & Dryland Ecosystems Lab led by Dr. Erin Hanan in the Department of Natural Resources and Environmental Science at the University of Nevada, Reno invites applications for a Postdoctoral Scholar position starting in the Spring of 2020. The researcher will work on an NSF funded project to improve N saturation theory in xeric systems and to examine how watershed responses to N pollution are influenced by global change. This will involve expanding and improving the ecohydrologic–biogeochemical model RHESSys to better account for the effects pulsed rainfall regimes on watershed-scale N fluxes during seasonal transitions. The postdoc will work in close collaboration with the Homyak Lab at in the Department of Environmental Sciences at University of California, Riverside to synthesize empirical data for parameterization, evaluating uncertainty, and improving the representation of various mechanisms in RHESSys. Empirical data collected at UCR will include atmospheric N inputs, soil N cycling processes, soil microbial community and C limitation dynamics, and pathways of gaseous and hydrologic N outputs.