Concordia University
2 months ago
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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.
Country
Canada
University
Concordia University

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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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