Publisher
source

Bobin Wang

1 year ago

Transportation, climate change, travel behavior analysis, machine learning methods Université Laval in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

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Country

Canada

University

Laval University

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Keywords

Computer Science
Data Science
Environmental Science
Decision Science
Deep Learning
Transportation Engineering
Decision Making
Artificial Intelligence
Climate Science
Civil Engineering
Driving Simulation
Big Data
Sustainable Transportation
Climate Dynamics
Optimization Algorithm
Transportation Economics
Carbon Emissions
Statistic
Machine learning

About this position

Phd opportunity

My lab starts the recruitment now! Full Scholarships for 2 PhD students. The positions are fully funded, and the tuition fee is exempt. The research direction includes transportation network analysis, AI and decision-making theory, and big data analysis. The candidate’s background should be related to Deep Learning, Traffic Simulation, Discrete Choice Model, or Optimization Analysis. Moreover, the candidate must have at least one publication. The two open projects are as follows:

Project 1: Assessing Intervention effectiveness for sustainable mobility systems to reduce GHG emissions
Project 2: Data-driven transportation models for assessing the effects of climate change events

The application deadline is June 30, 2025.

My research focuses on transportation, climate change, travel behaviour analysis, and machine learning methods. If you are interested in transportation problems, you are welcome to send the Cover letter, CV, and Transcripts of your Bachelor's and Master's in a single email to the following address: [email protected] . Clearly indicate in the Subject of the email with “Prospective PhD_project #]”. Thanks very much for your interest!

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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