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<b>Postdoctoral Fellow</b><br>
<br>
Assimilation of imaging spectroscopy data to improve the representation of<br>
vegetation dynamics in ecosystem models<br>
<br>
A post-doctoral position in ecosystem model-data synthesis, remote sensing,<br>
and ecological forecasting is available with Dr. Shawn Serbin in the<br>
Department of Sustainability Studies<br>
(<a href="http://www.stonybrook.edu/commcms/sustainability/">http://www.stonybrook.edu/commcms/sustainability/</a>) at Stony Brook<br>
University (<a href="http://www.stonybrook.edu/">http://www.stonybrook.edu/</a>), Stony Brook, New York.<br>
<br>
This NASA-funded project focuses on the integration of remote-sensing data,<br>
specifically high-spectral resolution field and imaging spectroscopy data,<br>
within an efficient model-data assimilation framework, to improve the<br>
characterization of vegetation dynamics in terrestrial ecosystem models. <br>
The project is part of the larger predictive ecosystem analyzer (PEcAn)<br>
scientific workflow system (<a href="http://pecanproject.org">http://pecanproject.org</a>), which aims to make<br>
ecosystem models, data assimilation, and forecasting more accessible,<br>
automated, and repeatable.<br>
<br>
The primary objective is to comprehensively examine the potential for direct<br>
assimilation of optical remote sensing observations into sophisticated<br>
ecosystem models, starting with the Ecosystem Demography 2.2 model, to<br>
better initialize and constrain projections of surface energy balance,<br>
vegetation composition, and carbon pools and fluxes. The project combines<br>
remote sensing, radiative transfer modeling, ecosystem modeling, and<br>
advanced statistical and computation approaches to diagnose the drivers of<br>
spatial and temporal variability in the terrestrial carbon cycle and the<br>
sources of uncertainty in these estimates. The initial focus of the project<br>
is the temperate/boreal transition zone in northern Wisconsin, a region that<br>
is expected to show large climate change responses and is one of the most<br>
data-rich regions in the country, but will expand in scope to sites around<br>
the continental U.S. in years 2 and 3. The results from this project will<br>
provide an important step toward the operational capacity to assimilate<br>
reflectance observations, uniformly, within sophisticated ecosystem models<br>
with the goal of constraining model projections of energy, water, and carbon<br>
pools and fluxes of terrestrial ecosystems.<br>
<br>
<br>
<b>Qualifications:</b><br>
<br>
Required qualifications are a doctoral degree in a relevant ecological,<br>
environmental, or computer science field. The ideal candidate would have<br>
experience with more than one of the following areas: ecosystem process<br>
models, remote sensing data, imaging spectroscopy (i.e. hyperspectral) data,<br>
radiative transfer modeling in the optical domain, open-source programming<br>
environments (e.g. R, Python), linux, data assimilation, scientific writing.<br>
<br>
<br>
<b>Application Process:</b><br>
<br>
The successful candidate will be hired through the Department of<br>
Sustainability Studies at Stony Brook University where Dr. Serbin holds an<br>
affiliate faculty position, but the candidate will be expected to spend<br>
their time within the Terrestrial Ecosystem Science & Technology (TEST;<br>
<a href="http://www.bnl.gov/test/">http://www.bnl.gov/test/</a>) group at Brookhaven National Laboratory (www.<br>
<a href="http://bnl.gov">bnl.gov</a>).<br>
<br>
Interested applicants are encouraged to submit a cover letter, CV, and<br>
contact info for 3 references to Dr. Shawn Serbin (<a href="mailto:sserbin@bnl.gov">sserbin@bnl.gov</a>). Review<br>
of applications will begin on October 15th but will remain open until<br>
filled. A competitive salary and benefits package is available.<br>
<br>
<br>
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------------------------------------------------------------------------<br>
Shawn P. Serbin<br>
Environmental & Climate Sciences Department<br>
Brookhaven National Laboratory<br>
Upton, NY 11973-5000<br>
<br>
Phone: +1-631-344-3165<br>
Fax: +1-631-344-2060<br>
Email: <a href="mailto:sserbin@bnl.gov">sserbin@bnl.gov</a><br>
Bio: <a href="http://www.bnl.gov/envsci/bio/serbin-shawn.php">http://www.bnl.gov/envsci/bio/serbin-shawn.php</a></div>
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TEST Group: <a href="http://www.bnl.gov/TEST/">http://www.bnl.gov/TEST/</a></div>
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Twitter: @doctorjackpine<br>
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