Rolf Wüthrich

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.

Concordia University in Montreal, Canada is advertising MASc and PhD opportunities in Applied AI and Manufacturing Digitalization with Professor Rolf Wüthrich and the Electrochemical Green Engineering (EGE) Group. The projects sit at the intersection of computer vision , machine learning , AI-based manufacturing solutions , intelligent monitoring and automation , and digital/smart manufacturing , with a strong Industry 4.0 orientation. The group is affiliated with the Department of Mechanical, Industrial and Aerospace Engineering and the Department of Chemical and Materials Engineering at Concordia University. The post links to Concordia’s MASc and PhD program pages in Mechanical Engineering and Chemical Engineering, suggesting a research-based graduate pathway for students interested in manufacturing systems, applied AI, and advanced engineering applications. Eligibility highlights: 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. Prior experience in machine learning, computer vision, automation, or manufacturing is considered an asset. Candidates already in Canada will be prioritized so the projects can begin quickly, but qualified applicants outside Canada are also welcome. Funding: the post does not specify a stipend or tuition package; funding details will be discussed with shortlisted candidates. Concordia thesis-based graduate programs generally offer funding packages and assistantships, but applicants should confirm specifics directly with the supervisor. How 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 context: Concordia’s graduate pages indicate that admission typically requires a supervisor match and English proficiency for non-native speakers unless exempted. No explicit deadline is stated in the post.

Concordia University in Montreal, Canada is advertising MASc and PhD opportunities in Applied Artificial Intelligence and manufacturing digitalization within the Electrochemical Green Engineering (EGE) Group , led by Professor Rolf Wüthrich . The projects focus on research topics such as computer vision , machine learning , AI-based manufacturing solutions , intelligent monitoring and automation , digital and smart manufacturing , and Industry 4.0 technologies . The opportunity is especially relevant for students interested in combining computer science , mechanical engineering , and industrial/manufacturing systems with applied AI. Preferred 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 important, and prior experience in machine learning , computer vision , automation , or manufacturing is considered an asset. Candidates currently residing in Canada will be prioritized, but qualified applicants from outside Canada are also welcome. Funding is not fully detailed in the post; it says funding will be discussed with shortlisted candidates. The post does not mention a deadline, so applicants should apply as soon as possible. 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] .