Publisher
source

Concordia University

MASc and PhD Opportunities in Applied AI and Manufacturing Digitalization at Concordia University Concordia University in Canada

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Funding details will be discussed with shortlisted candidates. The post does not specify a stipend, tuition coverage, or whether the positions are fully funded.

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Country

Canada

University

Concordia University

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Keywords

Computer Science
Machine Learning
Mechanical Engineering
Electrical Engineering
Chemical Engineering
Industry 4.0
Industrial Engineering
Computer Vision
Digital Manufacturing
Automation

About this position

Concordia University in Montreal, Canada is advertising MASc and PhD opportunities in Applied Artificial Intelligence and manufacturing digitalization with Professor Rolf Wüthrich and the Electrochemical Green Engineering (EGE) Group.

The research direction includes computer vision, machine learning, AI-based manufacturing solutions, intelligent monitoring and automation, digital and smart manufacturing, and Industry 4.0 technologies. The post is connected to Concordia’s Department of Mechanical, Industrial and Aerospace Engineering and Department of Chemical and Materials Engineering.

Eligible applicants should have a background in Mechanical Engineering, Computer Engineering, Software Engineering, Computer Science, or a closely related field. Strong programming and analytical skills are expected. Prior experience in machine learning, computer vision, automation, or manufacturing is considered an asset. Candidates currently in Canada are prioritized, but applicants from outside Canada are also welcome.

Funding is not specified in the post; it says funding details will be discussed with shortlisted candidates.

To apply, email your CV and academic transcripts to [email protected] and CC [email protected]. Use the subject line: MASc/PhD Application – Applied AI – [Your Name]. Only shortlisted candidates will be contacted.

Useful links are provided for the EGE Group and the relevant MASc/PhD program pages in Mechanical Engineering and Chemical Engineering at Concordia University.

Funding details

Funding details will be discussed with shortlisted candidates. The post does not specify a stipend, tuition coverage, or whether the positions are fully funded.

What's required

Applicants should have a degree in Mechanical Engineering, Computer Engineering, Software Engineering, Computer Science, or a closely related field. Strong programming and analytical skills are preferred, along with interest in applying AI to real-world manufacturing challenges. Previous experience in machine learning, computer vision, automation, or manufacturing is an asset. Candidates currently residing in Canada will be prioritized, though qualified candidates outside Canada may also apply.

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