Postdoctoral Research Associate (Coastal Arctic Hydrology)
Purpose: The Climate Change Science Institute within the Environmental Sciences Division at Oak Ridge National Laboratory (ORNL) seeks a postdoctoral researcher with experience in permafrost hydrology and/or computational hydrology to support a newly funded project aimed at understanding how coastal Arctic watersheds are changing in a warming climate, how they interact with the Arctic ocean and ice, and what these changes mean for multisector dynamics including infrastructure, transportation, energy, and national security.
Major Duties/Responsibilities: Your primary responsibilities will be to develop, calibrate, and evaluate coupled models of permafrost hydrology in the coastal Arctic, and then use those models to advance the field’s understanding of how exports of water, sediment, and nutrients from rivers into the coastal ocean will change as permafrost warms. You will join a multi-disciplinary team of investigators, including experts in land surface, riverine, ocean, land and sea ice, and multisector dynamics modeling, who are developing and evaluating numerical models of the coupled Arctic coast. You will develop hypothesis-driven numerical experiments, bringing data and hydrologic process understanding together with models to evaluate these hypotheses, and lead papers describing those findings. You will also have the opportunity to shape how coupled coastal systems are modeled in next generation Earth System Models, which play a critical role in science relevant to both society and policy.
Qualifications Required: A Ph.D. in hydrology, geomorphology, geophysics, applied mathematics, or a related field is required. Prior knowledge and demonstrated expertise in one or more of the following areas are required: 1) watershed hydrology, 2) permafrost processes including cold region hydrology, geomorphology, and/or soil science, 3) land surface/Earth system modeling, 4) computational methods for mechanistic surface/subsurface modeling. Experience designing, executing, and publishing papers on hypothesis-driven numerical experiments is required. A proven publication record, as well as excellent oral and written communication skills and the ability to work both independently and in a multidisciplinary team are required. Experience using models is required; experience developing them is a plus. Experience in programming languages including C++ and Fortran (for model development) and python and R (for model evaluation and workflow) is advantageous. Experience processing and leveraging large, complex datasets of observations is advantageous. Experience working on or in Alaska’s North Slope and/or other Arctic tundra environments is advantageous.
Applicants cannot have received their Ph.D. degree more than five years prior to the date of application and must complete all degree requirements before starting their appointment. This position is a full-time assignment for a maximum of 24 months, contingent on successful performance and continued funding.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
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