Job Title: Ph.D. applications to work on woodland caribou demography and 
conservation in the Saskatchewan Boreal Shield.  

Location: University of Saskatchewan, Saskatoon, Saskatchewan, Canada 

Closing: Will need to contact me by Feb 10, 2015. Students must have a record 
of publication in mainstream peer-reviewed journals and GPA of 3.8 or higher.

Apply: Email me a CV and pdf copies of both undergrad and graduate 
transcripts.  Email to [email protected].  Please write “Woodland 
Caribou” as the subject line.  

Description: My lab is developing a long-term research program on the ecology 
of threatened woodland caribou in northern Saskatchewan, Canada, including 
population dynamics, critical habitat, and the population dynamics of their 
main predators (wolves and black bears). This opportunity, which is fully 
funded commencing Sept 1, 2015, is for a Ph.D. student to study caribou 
population dynamics including linking survival and reproduction to habitat 
features and density. Field work will occur principally in winter  including 
flying surveys for previously collared caribou, and some site investigations 
in autumn for collar drops/caribou kill investigations. The research will 
occur as part of a team working on caribou habitat selection, population 
ecology, and wolf and black bear habitat selection in northern Saskatchewan, 
Canada.

The project is fully funded at $21,000 CAD per year, however, students will 
be expected to apply for internal and external scholarships, including NSERC 
PGS-D scholarships (if Canadian). Because of the latter, preference will be 
given to Canadians.

The successful student will have an opportunity to engage with a large lab 
working on related questions with respect to caribou population dynamics, but 
also our lab’s long-term project on the life history and evolution of the 
Sable Island horses. Students can expect to publish outside of one’s own 
thesis topic as part of whole-lab research questions. Evidence of familiarity 
with population modelling, generalized linear models, and programming in the 
R language is an asset. 

Preference will be given to students that aspire to a career in academia and 
who have a track record that reflects this career goal. 

Interested applicants should contact me asap by email 
([email protected]), and be prepared to submit a current CV with 
copies of transcripts.  Website: http://mcloughlinlab.ca/lab/  

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