🔬 Lab: Soares Quantitative Ecology Lab

📅 Start Date: Winter 2026 (flexible)
📍 Locations: University of Regina (Canada) or Federal University of Rio de Janeiro (Brazil)

🌍 Research Focus

Selected students will work on:

• AI-driven biodiversity monitoring in freshwater ecosystems.
• Predicting aquatic food web structure using computational tools.
• Large-scale patterns in freshwater ecology and macroecology.
• Collaboration with Brazilian partners (Drs. Lucas Colares & Karoline Cerón).

🎯 Key Objectives:

• Develop quantitative models for ecosystem analysis.
• Integrate field data, AI, and network theory to address ecological questions.
• Contribute to international research with fieldwork/exchange opportunities.

✅ Preferred Qualifications

• Background in 🌊 freshwater ecology, 📊 ecological networks, or 🤖 data science.
• Skills in statistics, programming (R/Python), or GIS.
• Interest in tropical/temperate ecosystems and cross-disciplinary collaboration.

📋 Expectations

• Publish in peer-reviewed journals.
• Engage in international research exchanges (Brazil-Canada).
• Present at conferences and contribute to team projects.

💰 Funding & Support

• Competitive stipend (minimum annual funding, exact amount TBD).
• Tuition coverage + support for international travel/research.

📩 Application Process

Submit to Dr. Bruno Soares (bruno.soares@uregina.ca) with subject line:
“Graduate Application – [Your Name] – [MSc/PhD Interest]”
Include:

• 📄 CV (highlighting relevant skills).
• 📝 Brief statement (research interests & fit for the project).
• 📑 Unofficial transcripts (if available).

⏳ Review begins immediately—virtual interviews on a rolling basis.**

🌎 Lab & Location Highlights

• University of Regina: Prairie-edge hub for water and climate research.
• Rio de Janeiro: Tropical biodiversity hotspot with field opportunities.
• Lab Culture: Collaborative, data-driven, and globally connected.

Encouraged to Apply: Candidates from diverse backgrounds with a passion for quantitative ecology. Questions? Email Dr. Soares!