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<div>POSTDOCTORAL POSITION</div>
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<div>Campus/Location:</div>
<div>University Park Campus</div>
<div>Date Announced:</div>
<div>12/08/2016</div>
<div>Date Closing:</div>
<div>open until filled</div>
<div>Job Number:</div>
<div>68112</div>
<div>Work Unit:</div>
<div>College of Engineering</div>
<div>Department:</div>
<div>Civil and Environmental Engineering</div>
<div>DESCRIPTION</div>
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<div>Multi-scale Hydrology and Processes group (MHP), Department of
Civil and Environmental Engineering is seeking one postdoctoral
research associate in hydrologic modeling and data analysis. The
position will be based in PSU and will focus on hydrologic
responses under different forcing scenarios from regional climate
model datasets. The candidate will employ an existing coupling
framework between the Process-based Adaptive Watershed Simulator
(PAWS) and the Community Land Model (CLM). The data analysis
component will employ advanced statistical methods. We look for
highly-motivated candidates with strong backgrounds in numerical
modeling, hydrology and/or biogeochemistry, and analysis of
complex coupled terrestrial ecosystem processes. The applicants
should be willing to work across disciplines in a team
environment. Familiarity with physically-based hydrologic models,
climate forcing datasets, CLM, and/or high performance computing
is preferred. Due to the interdisciplinary nature of the project,
the scholars will have plenty of opportunities to interact with a
group of researchers from 9 institutions. The prospective research
associates will get further training and education in high
performance computing and land surface modeling. Interested
applicants should send their CVs, publications, a list of
references, a description of their PhD thesis research, and a
statement of research goals (2 pages maximum). Contact Dr.
Chaopeng Shen (<a href="mailto:cshen@engr.psu.edu" target="_blank">cshen@engr.psu.edu</a>,
<a href="http://water.engr.psu.edu/shen/" target="_blank">http://water.engr.psu.edu/<wbr>shen/</a>)
for further questions. The appointment will start preferably in
Spring and no later than September 2017. Applications will be
reviewed immediately and are accepted until position is filled.</div>
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