Publisher
source

Concordia University

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

Funded PhD Position in Community Ecology and Biogeography at Concordia University

Keywords

Evolutionary Biology
Ecology
Environmental Science
Biology
Entomology
Geography
Biogeography
Biodiversity
Spatial Analysis
Carbon Storage
R Programming
Nutrient Cycling
Landscape Ecology
Global Change
Ecological Modeling
Macroecology
Ecological Networks
Statistics
Climatechange

Description

Funded PhD Position in Community Ecology & Biogeography at Concordia University, Montreal, Canada The Community Ecology & Biogeography Lab at Concordia University is seeking a PhD student to join research on the forces enabling the maintenance and distribution of biological diversity, both contemporarily and historically. The lab investigates how biodiversity will change in the face of global changes, with a focus on human-driven community reassembly and ecosystem processes. Field-based projects often focus on insects (ants, dragonflies, bees) and their roles in ecosystems. Research Areas: Community ecology, biogeography, biodiversity, ecological networks, global change biology, species range dynamics, climate change, ecological modeling, spatial analysis, macroecology, insect ecology, soil arthropods, nutrient cycling, carbon storage, plant-pollinator networks, host-parasite networks, plant-microbial networks, evolutionary ecology, field ecology, quantitative ecology, R programming, and large ecological datasets. Current Research Questions: What are the ecological and evolutionary determinants of range limits and dynamics in the context of environmental changes? What are the rules governing the assembly of ecological networks, including plant-pollinator networks, plant-parasite networks, and host-parasite networks? What is the role of ants and other soil arthropods in nutrient cycling and carbon storage? Eligibility & Requirements: Applicants should have a strong academic background in ecology, biogeography, and/or evolutionary biology, proficiency in R or another scientific programming language, experience with large datasets and analytical skills, and fieldwork experience in ecological or biodiversity studies. Additional assets include knowledge of ecological modeling, spatial analysis (GIS), mathematics for quantitative ecology, understanding of insect physiology, metabolism, or biochemistry, and previous scientific publishing experience. Motivation to secure external funding is a competitive advantage. Funding: The position offers stipend and TA/RA opportunities. Specific funding details are not provided. Application Process: Submit a single PDF file including a cover letter, CV, unofficial transcripts, names and contact information of 2 referees, publications, and any other relevant documents to Alisa Makusheva at [email protected]. Use the subject 'Community Ecology_Your name'. Deadline: January 8, 2026. For questions, contact Alisa Makusheva. The lab welcomes applications from diverse backgrounds and encourages minorities to apply. Concordia University is located in Montreal, a vibrant and inclusive city, and the lab group is supportive of students from the global south and the LGBTQ+ community.

Funding

The position offers stipend and TA/RA opportunities. No specific stipend amount or tuition coverage details are provided.

How to apply

Send a single PDF file including a cover letter, CV, unofficial transcripts, names and contact information of 2 referees, publications, and any other relevant documents to [email protected]. Use the subject 'Community Ecology_Your name'. For questions, contact Alisa Makusheva.

Requirements

Applicants must have a strong academic background in ecology, biogeography, and/or evolutionary biology. Proficiency in R or another scientific programming language for data analysis and modeling is required. Experience working with large datasets and strong analytical/quantitative skills are necessary. Fieldwork experience in ecological or biodiversity studies, knowledge of ecological modeling and/or spatial analysis such as GIS, and a background in mathematics applicable to quantitative ecology are considered assets. Understanding of insect physiology, metabolism, or biochemistry, and previous scientific publishing experience are also assets. Potential and motivation to secure external funding such as scholarships or fellowships is a competitive advantage.

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