Apply now for two fully funded PhD positions at Laval University, Québec, Canada. Research areas include transportation networks, smart cities, machine learning, urban mobility & climate change. Supervisor: Dr. Bobin Wang.
🌍 Fully Funded PhD Opportunities at Laval University, Québec, Canada – 2025 Intake
Explore Two Prestigious Doctoral Positions in Smart Cities, Climate Change, and Transportation Systems
Are you passionate about revolutionizing urban transportation and building smarter, climate-resilient cities? Laval University, a top-ranked research-intensive institution in Québec, Canada 🇨🇦, invites international students to apply for two fully funded PhD positions under the supervision of Dr. Bobin Wang, a renowned researcher in intelligent transportation systems and urban mobility.
These research opportunities are ideal for students with a background in transportation engineering, data science, machine learning, climate resilience, and optimization models.
🎯 Overview of Research Projects
✅ Project 1: Assessing the Effectiveness of Interventions in Sustainable Mobility Systems to Reduce GHG Emissions
This project will explore:
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Low-emission transport policies
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Travel behavior modeling
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Emission reduction forecasting
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Life-cycle assessment in urban mobility systems.
✅ Project 2: Data-Driven Transportation Models for Evaluating the Impact of Climate Change Events
This project will include:
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Modeling extreme weather events and their impact on transportation
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Real-time urban mobility analytics
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Disaster response simulations
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Integration of big data and AI for decision-making.
🔍 Key Research Areas Covered
These PhD positions span across interdisciplinary, high-impact domains, including:
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🚦 Transportation Network Analysis
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🤖 Intelligent Transportation Systems
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📊 Discrete Choice Modeling
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🧠 Machine Learning & Deep Learning
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🚗 Traffic Simulation & Prediction
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🌎 Climate Change Mitigation
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🚴 Urban Mobility Behavior
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🌐 Optimization & Operations Research
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🏙️ Smart Cities & Infrastructure
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📈 Big Data Analytics in Urban Planning.
🎓 Eligibility Criteria
Academic Qualifications:
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Master’s degree in Transportation Engineering, Civil Engineering, Urban Planning, Data Science, Machine Learning, or related fields.
Skills Required:
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Proficiency in data analysis, simulation tools, or machine learning frameworks
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Strong coding skills in Python, R, or MATLAB
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Academic research writing and analytical skills
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Experience with traffic modeling, GIS tools, or optimization is a plus
Language Requirements:
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English proficiency required (TOEFL/IELTS may be requested during admission).
🏆 Funding & Benefits
Both PhD positions are fully funded, covering:
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💰 Full tuition fees
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💵 Competitive annual stipend (CAD $22,000–$26,000 or more)
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💼 Conference & travel grants
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🏥 Health insurance coverage
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📚 Access to world-class labs and cross-disciplinary collaboration opportunities
🧑🏫 About the Supervisor: Dr. Bobin Wang
Dr. Bobin Wang is an Assistant Professor at Laval University and leads multiple projects in intelligent transport systems, mobility modeling, and urban sustainability.
🔗 Profile: Dr. Bobin Wang – Laval University
📌 How to Apply
To apply, submit the following documents in PDF format:
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Cover Letter (mention your research interest & preferred project)
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Academic CV
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Transcripts from Bachelor’s and Master’s degrees
📩 Send all documents to: transport@gmc.ulaval.ca
📌 Email Subject Line: “Prospective PhD_Project – [Your Full Name]”
Application Deadline: Open until filled (early applications encouraged for Fall 2025 intake)
🇨🇦 Why Study at Laval University in Québec, Canada?
Ranked among Canada’s top 10 research universities
Vibrant multicultural environment in Québec City
Cutting-edge labs in sustainable transportation and smart city infrastructure
Opportunities for industry collaboration and government-funded research
Pathways for PR (Permanent Residency) post-study through Québec’s immigration programs.
