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Jean-Pascal Bilodeau

3 weeks ago

PhD Position in Mechanical Behavior and Assessment of Asphalt Layer Interfaces (Civil/Materials Engineering) Université Laval in Canada

Degree Level

PhD

Field of study

Materials Science

Funding

Project-funded PhD position with stipend available for admitted students. Access to specialized laboratory facilities, instrumentation, and computational tools. Research training in experimentation, signal processing, numerical modeling, and data-driven methods.

Deadline

Sep 1, 2026

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Country

Canada

University

Université Laval

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Keywords

Materials Science
Civil Engineering
Sensor Technology
Pavement Engineering
Metamaterial

About this position

The Department of Civil and Water Engineering at Université Laval is seeking a PhD student to join the INTERFACE Project, focusing on the mechanical behavior and assessment of asphalt layer interfaces. The research aims to advance the understanding of interlayer bonding in asphalt pavements using laboratory testing, sensing, numerical modeling, and data-driven analysis. The project is led by Professeur agrégé Jean-Pascal Bilodeau and is part of the Laboratoire Universitaire sur les Chaussées et les Infrastructures Linéaires (L.U.C.I.L.).

Key research areas include characterizing the mechanical behavior of asphalt interfaces under varying environmental and loading conditions, identifying mechanisms leading to debonding or interlayer slip, developing constitutive interface models, and establishing diagnostic indicators for pavement integrity. The project offers hands-on experience in pavement experimentation, sensing technologies, numerical modeling, and machine learning-based diagnostics, with direct relevance to modern pavement design and infrastructure assessment in cold and temperate regions.

Ideal candidates will have a BSc and MSc in civil, pavement, materials engineering, or a related field, a strong academic record, and research potential. Proficiency in English or French is required. Experience with laboratory testing, sensors, signal processing, or data analysis is an asset, and interest in machine learning or numerical modeling is a plus. The position is project-funded, with a stipend for admitted students and access to specialized laboratory facilities and research training.

To apply, candidates should submit a CV (2 pages preferred) and a short writing sample via the provided application form. Admission and funding are subject to Université Laval graduate program requirements and supervisor approval. The application deadline is September 1, 2026.

Funding details

Project-funded PhD position with stipend available for admitted students. Access to specialized laboratory facilities, instrumentation, and computational tools. Research training in experimentation, signal processing, numerical modeling, and data-driven methods.

What's required

Applicants should have a BSc and MSc in civil, pavement, materials engineering, or a related field. A strong academic record and research potential (thesis, project, paper, or report) are required. Candidates must be proficient in English or French. Interest in experimental work and quantitative analysis is expected. Experience with laboratory testing, sensors, signal processing, or data analysis is an asset but not mandatory. Interest in machine learning or numerical modeling is considered a plus. Admission and funding are subject to Université Laval graduate program requirements and supervisor approval.

How to apply

Fill out the application form at the provided Google Forms link. Prepare a CV (2 pages preferred) and a short writing sample (thesis excerpt, technical report, or paper). Applications are screened for admission and funding eligibility.

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