Graduate opportunity in the Precision Forestry Cooperative 
University of Washington, School of Environmental and Forest Sciences (UW-
SEFS) 

The Precision Forestry Cooperative (PFC) in the School of Environmental and 
Forest Resources at the University of Washington is seeking a MS student 
who is enthusiastic about using state-of-the-art airborne remote sensing 
technologies and in situ data to study forest ecology and sustainable 
management.  This two-year funded position will be joining a collaboration 
between UW and the USDA Forest Service Pacific Northwest Research Station 
with strong collaborations with other Forest Service scientists and 
managers as well as other NASA and academic researchers.  

The research program will be centered around two projects:  1) Assess the 
spatial distribution and condition of woody shrub vegetation in the boreal 
ecosystems of interior Alaska. Alder and willow species in interior Alaska 
can grow to the size of small trees (≥10 cm DBH), and they are often the 
first colonizers of disturbed land, adding both carbon and nitrogen (in the 
case of N-fixing alder) to build soils for future forests. This study will 
investigate how airborne laser scanning and hyperspectral imaging data can 
be used in combination with a network of forest inventory measurements to 
quantify the biomass/carbon contained in woody shrubs over a large portion 
of Alaska. The scope of this thesis project includes the full research 
cycle, including several weeks of field data collection in south-central 
Alaska, data processing, data analysis and reporting the findings in a 
scientific journal.   2) Use remote sensing data, especially airborne 
lidar, to study forest conditions across substantial areas of one or more 
national forests to assess their resilience to disturbance processes such 
as fire and drought/insects and to develop management options for improving 
resilience.

Due to the intensive data processing and analytical requirements of the 
project, the applicant is expected to have demonstrated strong statistical 
skills and have experience with programming in R, Python, Java, or C++. 

The ideal candidate will have experience in several (but interest in all!) 
of the following areas: 

•       BS or MS degree in biology, ecology, forestry, environmental 
science, or engineering 
•       Ecological field work experience lasting several weeks including 
forestry measurements (e.g., tree size, diameter, allometrics, stem 
mapping) 
•       Forest remote sensing experience especially with airborne and 
terrestrial lidar and hyperspectral data
•       Demonstrated quantitative skills (e.g., general statistics, linear 
modeling, spatial statistics)
•       Demonstrated computer programming skills (Python, R, etc.)  
•       Botanical knowledge of major trees, shrubs, and herbs in interior 
Alaska
•       Two or more years of work experience following BS degree

***** This position will ideally start in the spring of 2019 to prep for 
the summer 2019 field season, but the student will need to start in the 
summer 2019  field season at the latest. 

For more information on Dr. Kane’s lab, UW’s Precision Forestry 
Cooperative, and the Pacific Northwest Research Station’s remote sensing 
lab, please visit:

https://sites.uw.edu/vkane
https://sites.uw.edu/uwpfc/
https://www.fs.fed.us/pnw/rma/

How to apply

Send an email to Dr. Van R. Kane at [email protected] no later than October 
30, 2018.  The subject must include the words, “PFC 2018 student search”.

The body of the email must include a short paragraph or bullet points 
summarizing your experience for each of these points: undergraduate and any 
additional degrees, forest ecology experience, field work experience, 
remote sensing experience, quantitative analysis experience, and computer 
programming experience. 

Interested students are requested to create a single PDF document which 
contains the following: 
•       A one-page statement that demonstrates (a) how your experience 
prepares you for this project, (b) which aspects of the project interest 
you most, and (c) your career goals after grad school. 
•       A current CV 
•       Unofficial undergrad (and grad if applicable) transcripts 
•       Unofficial GRE scores and percentiles (taken within the last five 
years) 
•       List of three references (name, position, institution, email 
address, and phone number). <<References will not be contacted until after 
the formal application process at UW.>> 

Dr. Kane will contact the top candidates to schedule a skype conversation 
in mid-November, and then encourage the top few candidates to apply to UW-
SEFS by the application deadline of Dec 1, 2018.

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