MSc Opportunity: Weaving Ways of Knowing in Moose Ecology with Batchewana First Nation
The Ndaakendaaswen Gamig Lab & WISE Lab at the University of Guelph are looking for a MSc student to work in partnership with Batchewana First Nation to support moose ecology research that weaves together Indigenous and Western ways of knowing. This work will involve a combination of knowledge gathering and moose monitoring within Batchewana First Nation (BFN), working closely with the BFN Natural Resources Department to ensure alignment with community values and priorities.
MSC WILL INVOLVE :
- Working with Batchewana First Nation (BFN) to identify and monitor important moose habitat
- Participating in field work related to moose monitoring, including in remote areas with varied and challenging terrain
- Facilitating knowledge sharing through interviews with Elders, hunters, and other Knowledge Holders
- Engaging in community-led, interdisciplinary research that embraces multiple ways of knowing
- Developing skills related to Indigenous research methodologies, data analyses, policy, and community outreach
QUALIFIED CANDIDATES WILL HAVE :
- Excellent communication skills
- Indigenous cultural competency
- Minimum GPA of 3.0 (>75% average)
- Field work experience and a valid driver’s license
- Bachelor’s degree in environmental science, environmental studies, biology, or related field
ANTICIPATED START: January 2025
LOCATION: Student will be based out of the University of Guelph, with significant community-based work in Batchewana First Nation (near Sault Ste. Marie).
For more information on the Ndaakendaaswen Gamig Lab (led by Sue Chiblow): https://susanchiblow.com/
For more information on the WISE Lab: https://www.wiselab.ca/
For more information about Batchewana First Nation: https://batchewana.ca/
Please reach out to Claire Kemp (project manager) with any questions, or for more information, at ckemp01@uoguelph.ca
To apply, please send a cover letter describing why you are interested in this work, a copy of your CV/resume, and information for 3 references. Preference given to applications submitted by October 16, 2024.