Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply.
If you are an active McGill employee (ie:
currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).
Department of Biology
Project Title:
CANBON pilot:
Operationalization of Tools and Models for Ecosystem Services in Hudson Bay Lowlands
Position Summary:
The Gonzalez is seeking a Research Associate to join a dynamic research group to support the development and application of monitoring and modelling tools for ecosystem services. The recruited candidate will work closely with institutional partners at Environment and Climate Change Canada, GEO BON, and Quebec Centre for Biodiversity Science. The Hudson Bay Lowlands are composed of complex and dynamic landscapes dominated by wetlands, including open and forested bogs and peat plateaus, fens, and swamps, marshes, and open water. These landscapes support multiple ecosystem services, including regulating services such climate regulation, water regulation and flood reduction. The HBL is a persistent sink of atmospheric carbon dioxide that has contributed significantly to cooling the global climate. The region provides traditional food and food security to the region's indigenous peoples (e.g., freshwater fisheries, foraging wild foods). It is also an important cultural landscape for spiritual, hunting, and recreational activities. Mapping and modeling ecosystem services in this region is a current research challenge.
Duties:
Combine biodiversity, ecosystem, climate, social data using analytical tools and models to detect and attribute change in ecosystem services;
Conducts a thorough review and assessment of methods (e.g. essential ecosystem service variables).
Proposes a suite of tools that can be scaled for implementation of ecosystem service assessments in Canada, including biodiversity, climate change mitigation and traditional knowledge and values.
With the existing datasets, operationalizes the application of assessment tools to data from the Hudson Bay Lowlands. The focus will be on methods that allow for the inclusion and effective analysis of a broad range of data types, that can weave data and information on biodiversity, carbon storage and sequestration, and Indigenous knowledge, in particular knowledge on culturally important species and species important for food security.
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.
PhD in related field
5years experience following PhD (PhD received prior to 2019)
Strong computational and environmental modelling background
Knowledge of French and English:
McGill University is an English-language university where day to day duties may require English communication both verbally and in writing. The level of English required for this position has been assessed at a level 3 (qualifier) on a scale of 0-4.
Hourly Salary:
Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply.
If you are an active McGill employee (ie:
currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).
Department of Biology
Project Title:
CANBON pilot:
Operationalization of Tools and Models for Ecosystem Services in Hudson Bay Lowlands
Position Summary:
The Gonzalez is seeking a Research Associate to join a dynamic research group to support the development and application of monitoring and modelling tools for ecosystem services. The recruited candidate will work closely with institutional partners at Environment and Climate Change Canada, GEO BON, and Quebec Centre for Biodiversity Science. The Hudson Bay Lowlands are composed of complex and dynamic landscapes dominated by wetlands, including open and forested bogs and peat plateaus, fens, and swamps, marshes, and open water. These landscapes support multiple ecosystem services, including regulating services such climate regulation, water regulation and flood reduction. The HBL is a persistent sink of atmospheric carbon dioxide that has contributed significantly to cooling the global climate. The region provides traditional food and food security to the region's indigenous peoples (e.g., freshwater fisheries, foraging wild foods). It is also an important cultural landscape for spiritual, hunting, and recreational activities. Mapping and modeling ecosystem services in this region is a current research challenge.
Duties:
Combine biodiversity, ecosystem, climate, social data using analytical tools and models to detect and attribute change in ecosystem services;
Conducts a thorough review and assessment of methods (e.g. essential ecosystem service variables).
Proposes a suite of tools that can be scaled for implementation of ecosystem service assessments in Canada, including biodiversity, climate change mitigation and traditional knowledge and values.
With the existing datasets, operationalizes the application of assessment tools to data from the Hudson Bay Lowlands. The focus will be on methods that allow for the inclusion and effective analysis of a broad range of data types, that can weave data and information on biodiversity, carbon storage and sequestration, and Indigenous knowledge, in particular knowledge on culturally important species and species important for food security.
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.
PhD in related field
5years experience following PhD (PhD received prior to 2019)
Strong computational and environmental modelling background
Knowledge of French and English:
McGill University is an English-language university where day to day duties may require English communication both verbally and in writing. The level of English required for this position has been assessed at a level 3 (qualifier) on a scale of 0-4.
Hourly Salary:
Hours per Week:
Location:
Supervisor:
Position Start Date:
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