Postdoctoral Researcher - CANBON pilot: Operationalization of Tools and Models for Ecosystem Services in the Hudson Bay Lowlands

Seeking a postdoctoral researcher (PDF) to join a dynamic research group to support the development and application of monitoring and modelling tools for ecosystem services. The recruited PDF will work closely with institutional partners at Environment and Climate Change Canada, GEO BON, and Quebec Centre for Biodiversity Science.


details

Project – CANBON pilot: Operationalization of Tools and Models for Ecosystem Services in the Hudson Bay Lowlands

Start Date: As soon as possible

Salary: $60,000 per annum + benefits

Duration: 3 years

Institute: McGill University

Sponsor: Environmental and Climate Change Canada

Location: Montréal, Québec

Supervisors: Dr. Andrew Gonzalez (McGill)


summary

The Hudson Bay Lowlands (HBL) comprise diverse wetland landscapes, such as bogs, peat plateaus, fens, swamps, marshes, and open water, playing a vital role in regulating climate, water, and mitigating floods. Serving as a persistent carbon sink, the HBL has contributed significantly to global climate cooling. Additionally, it sustains indigenous communities by providing traditional foods, supporting freshwater fisheries, and serving as a cultural landscape for spiritual and recreational activities. A research project spanning three years aims to combine biodiversity, ecosystem, climate, and social data, utilizing analytical tools to detect changes in ecosystem services. The first year focuses on proposing scalable tools for ecosystem service assessments in Canada, incorporating biodiversity, climate change mitigation, and traditional knowledge. The subsequent two years involve applying these tools to HBL data, emphasizing diverse data types and integrating indigenous knowledge, particularly regarding culturally important and food security-related species.


qualifications

  • Conception of a data to model workflow, linking multiple sources of biological and ecological information across scales to monitor and model ecosystem and biodiversity change.

  • Advanced skills in statistical programming and modeling.

  • Geospatial data analysis.

  • Familiarity with ecosystem models.

  • Development of an integrated modelling workflows using Python, Julia and/or R.


HOW TO APPLY

Please follow this link to apply.

Only short-listed candidates will be notified. The search for this position will be open until filled.