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<p class="MsoNormal" style="text-indent:.5in">The Earth Systems Ecology Laboratory at the University of New Mexico is searching for a graduate student to investigate how temporally and spatially explicit microclimate models can inform next-generation wildfire
risk modeling. This project is funded by the Strategic Environmental Research and Development Program.
<o:p></o:p></p>
<p class="MsoNormal" style="text-indent:.5in">Climate change is increasing ecosystem stress and fire risk as well as changing ecosystem function. While we typically seek to measure and monitor changes in ecosystems that are indicative of functional processes
and ecosystem health, we commonly collect data at scales that are mismatched with the scale of the process or function of interest. Accounting for fine-scale variations in microclimate and fuel moisture is essential to understanding ecosystem stressor variability
at plant scales, as well as aggregating impacts at landscape scales. Yet, our current approach involves using weather data from sparsely deployed meteorological stations.<o:p></o:p></p>
<p class="MsoNormal" style="text-indent:.5in">This project will create spatially explicit, dynamic models of microclimate and validate these models against long-term meteorological sensor data, and, by using state-of-the-art fuel moisture sensors, create as
both training data and validation for models that predict fuel moisture as a dynamic product of fuel mass and modeled microclimatic environments.
<o:p></o:p></p>
<p class="MsoNormal" style="text-indent:.5in">The project will involve fieldwork that will include long days in adverse conditions across two sites in central and southern New Mexico. The methodological approach to the project will involve using data-logging
sensors, multi-spectral and LiDAR imagery from UAS (drone) flights, and satellite data. Applicants will be expected to learn to build, program, deploy, and maintain data loggers; plan, obtain, and process UAS imagery, and work with temporal, large-scale satellite
data. The applicant will be required to process and QA/QC data as well as perform advanced statistical analysis (e.g. machine learning).
<o:p></o:p></p>
<p class="MsoNormal" style="text-indent:.5in">This graduate position will be based at the Department of Biology at the University of New Mexico in Albuquerque, under the guidance of Drs. Matthew Hurteau and Chris Marsh. The applicant will ideally have some
quantitative experience (i.e. working with R and basic statistics) and should be familiar with core concepts in North American forest ecology. Experience carrying out fieldwork in remote conditions is desirable. We welcome applicants from a range of backgrounds,
who are keen to apply their skills to key issues in forest ecology, fire ecology, and climate change biology. In particular, the project is suitable for candidates with strong interests in multi-scale forest ecology and climate modeling.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The successful applicant should:<o:p></o:p></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="mso-list:l0 level1 lfo1">Have graduated, or be close to graduating from a bachelors in Ecology, Forestry, Remote Sensing, Computer Science, or Applied Mathematics.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Demonstrate strong academic performance in any of the above fields.
<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Be willing to learn analytical techniques applicable to microclimate modeling.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Must be a citizen, national, or permanent resident. <o:p></o:p></li></ul>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">For consideration, send a single pdf that includes a 1-page cover letter explaining your interest in this position, a 1-page statement of research goals, CV, and unofficial transcripts to
<a href="mailto:mhurteau@unm.edu">mhurteau@unm.edu</a> and <a href="mailto:chmarsh@unm.edu">
chmarsh@unm.edu</a>. Additional information about the lab <a href="http://www.hurteaulab.org">
www.hurteaulab.org</a> <o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Matthew Hurteau<o:p></o:p></p>
<p class="MsoNormal">Professor<o:p></o:p></p>
<p class="MsoNormal">Dept of Biology<o:p></o:p></p>
<p class="MsoNormal">University of New Mexico<o:p></o:p></p>
<p class="MsoNormal"><a href="http://www.hurteaulab.org/">http://www.hurteaulab.org/</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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