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<p class="MsoNormal">Hello: Can you please announce this postdoctoral research associate position at Oak Ridge National Laboratory in Oak Ridge, Tennessee?<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Title</b>: <b>Postdoctoral Research Associate – Computational Ecology / Ecohydrology<o:p></o:p></b></p>
<p class="MsoNormal"><b><o:p> </o:p></b></p>
<p class="MsoNormal"><b>Apply Link: <a href="http://bit.ly/2me7JyT">http://bit.ly/2me7JyT</a>
</b><o:p></o:p></p>
<p class="MsoNormal"> <o:p></o:p></p>
<p class="MsoNormal"><b>Purpose</b>: The Climate Change Science Institute within the Environmental Sciences Division at Oak Ridge National Laboratory (ORNL) seeks a postdoctoral researcher with experience in computational ecology and/or ecohydrology to support
a newly funded project aimed at exploring how plant traits and the hydrologic environment co-vary to form ecosystem function.
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Major Duties/Responsibilities</b>: Your primary responsibilities will be to develop, calibrate, and evaluate coupled models of trait-based ecosystem function and hydrology, and then use those models to advance the field’s understanding
of how plant traits and the abiotic environment interact and co-evolve. You will join a multi-disciplinary team of investigators including experts modeling and observing plant traits, plant hydraulics, and hydrology, who are developing and evaluating numerical
models coupling a fine-scale hydrologic model to a model of plant demography and competition. You will develop hypothesis-driven numerical experiments, bringing data and ecosystem process understanding together with models to evaluate these hypotheses, and
lead papers describing those findings. You will also have the opportunity to shape how ecosystem function is modeled in next generation Earth System Models, which play a critical role in science relevant to both society and policy.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Qualifications Required</b>: A Ph.D. in ecology, hydrology, applied mathematics, or a related field is required. Prior knowledge and demonstrated expertise in one or more of the following areas are required:
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="mso-list:l0 level1 lfo1">modeling plant community formation, function, and strategies for modeling competition
<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">modeling plant physiology including leaf- and canopy-level photosynthesis and biophysics, plant hydraulics, and/or recruitment/mortality
<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">modeling hydrology in natural systems
<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">coupled Earth system modeling
<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">high-performance computing<o:p></o:p></li></ul>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">A proven publication record, as well as excellent oral and written communication skills and the ability to work both independently and as a key contributor to a multidisciplinary team are required. Experience using these types of models
is required; experience developing them is a plus. Specifically, experience with ecosystem demography models is advantageous. 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.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">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. <o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Doug Cross<o:p></o:p></p>
<p class="MsoNormal">Recruiter<o:p></o:p></p>
<p class="MsoNormal"><b>Oak Ridge National Laboratory<o:p></o:p></b></p>
<p class="MsoNormal">Phone: (865) 574-7276<o:p></o:p></p>
<p class="MsoNormal"><a href="mailto:crossdr@ornl.gov">crossdr@ornl.gov</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><a href="http://www.facebook.com/home.php#!/Oak.Ridge.National.Laboratory"><span style="color:windowtext;text-decoration:none"><img border="0" width="32" height="32" id="Picture_x0020_1" src="cid:image001.png@01D35EBC.57CD6EE0" alt="Description: Facebook-icon"></span></a>
<a href="http://www.linkedin.com/company/7999?"><span style="color:windowtext;text-decoration:none"><img border="0" width="32" height="32" id="Picture_x0020_2" src="cid:image002.png@01D35EBC.57CD6EE0" alt="Description: linkedin-icon"></span></a> <a href="http://twitter.com/ornl_careers"><span style="color:windowtext;text-decoration:none"><img border="0" width="32" height="32" id="Picture_x0020_3" src="cid:image003.png@01D35EBC.57CD6EE0" alt="Description: Twitter-icon"></span></a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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