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Concordia University

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PhD Position in Community Ecology and Biogeography at Concordia University Concordia University in Canada

PhD Position in Community Ecology and Biogeography at Concordia University

Keywords

Evolutionary Biology
Ecology
Environmental Science
Biology
Biogeography
Nutrient Cycling
Ecological Modeling
Ant

Description

Concordia University in Montreal, Canada, is offering a funded PhD position in Community Ecology and Biogeography under the supervision of Professor Jean-Philippe Lessard, founder of the Community Ecology and Biogeography Lab. The research will focus on the ecological and evolutionary determinants of range limits and dynamics in the context of environmental changes, the assembly of ecological networks (including plant-pollinator, plant-microbial, and host-parasite networks), and the role of ants and other soil arthropods in nutrient cycling and carbon storage. Applicants should have a strong academic background in ecology, biogeography, or evolutionary biology, and be proficient in R or a similar scientific programming language for data analysis and modeling. Experience with large datasets and strong analytical or quantitative skills are required. Additional assets include fieldwork experience in ecological or biodiversity studies, ecological modeling and/or spatial analysis (such as GIS), mathematical skills relevant to quantitative ecology, knowledge of insect physiology, metabolism, or biochemistry, and a record of scientific publications or success with external funding applications. The position is fully funded, though specific details about the funding amount or stipend are not provided. The application deadline is January 8, 2026. Interested candidates should review the role description at the provided LinkedIn link and contact Alisa Makusheva directly for further questions. This opportunity is ideal for students interested in community ecology, biogeography, environmental science, and related fields.

Funding

The position is funded. Specific details about the funding amount or stipend are not provided.

How to apply

Check the role description at the provided LinkedIn link. Contact Alisa Makusheva directly for questions. Apply before January 8, 2026.

Requirements

Applicants must have a strong academic background in ecology, biogeography, or evolutionary biology. Proficiency in R or a similar scientific programming language for data analysis and modeling is required, as well as experience with large datasets and strong analytical or quantitative skills. Assets include fieldwork experience in ecological or biodiversity studies, ecological modeling and/or spatial analysis (e.g., GIS), mathematical skills relevant to quantitative ecology, knowledge of insect physiology, metabolism, or biochemistry, and scientific publications or success with external funding applications.

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