PhD opportunity in UAV remote sensing of forest canopy function:
The Chair of Geobotany at the University of Freiburg invites applications for a 
3-yr doctoral position 
focusing on tree diversity, canopy structure and forest ecosystem function. To 
date, next generation 
tools for canopy research that measure plant traits from a birds-eye-view 
perspective, such as near-
canopy Unmanned Aerial Vehicles (UAVs) equipped with hyperspectral imaging, 
have predominantly 
focused on crop monocultures. Focusing on two decade-old tree diversity 
experiments in Germany, 
the candidate will aid in the development of novel methods of measuring key 
canopy traits, and the 
assessment of their potential role in diversity-productivity relationships. We 
are looking for a highly 
motivated and co-operative person with a strong background in forest ecology, 
geography, 
environmental science or remote sensing. Previous experience with raster data, 
hyperspectral 
datasets or UAVs would be an asset. The ideal candidate will have demonstrated 
his/her ability to 
successfully carry out relevant research, data analyses and communicate the 
results. Experience in 
publishing in scientific journals is desirable. The applicant should be able to 
independently plan and 
undertake field sampling. A sound statistical background with experience with R 
is desirable and a 
strong command of English is indispensable. For international candidates 
knowledge of German (or a 
willingness to learn) would be beneficial during fieldwork and it enhances the 
experience of living 
and working in Germany. Your application will consist of a letter of 
motivation, CV, academic 
transcripts (non-official copies are acceptable), and contact details of at 
least two academic 
references. Please send your application as a single PDF by email with the 
subject “PhD position in 
UAV remote sensing of forest canopy function” by March 31, 2016 to Dr. Charles 
Nock 
([email protected]). Full details here: 
http://charlesnock.ca/wp-
content/uploads/2016/02/Doc-ad-remote-sensing-tree-diversity.pdf

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