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Position Overview:

Join our cutting-edge research team (Digital Manufacturing and Metrology Research Laboratory) in the exciting field of smart manufacturing. We are seeking highly motivated and skilled individuals for fully-funded Master's, PhD, and Postdoctoral positions, focusing on computer vision and visual servoing for robotic welding, as well as in-situ monitoring and adaptive process control in robotic wire arc additive manufacturing. The projects are in collaboration with the National Research Council of Canada (NRC). This is a unique opportunity to contribute to groundbreaking research that integrates artificial intelligence (AI) and machine learning with advanced manufacturing processes. 

Key Responsibilities:

• Develop and implement algorithms for real-time computer vision and visual servoing in robotic welding applications.
• Innovate and improve in-situ monitoring and adaptive process control techniques for robotic wire arc additive manufacturing.
• Apply machine learning methodologies, including deep learning and reinforcement learning, to enhance manufacturing processes.
• Conduct research that contributes to the fields of smart manufacturing, data fusion, and process optimization.
• Collaborate with a multidisciplinary team to design and execute experiments, analyze data, and publish findings.

Qualifications:

• For Master's and PhD candidates: A bachelor’s or master’s degree in Computer Science, Manufacturing Engineering, or a related field with a strong focus on algorithms and computing.
• For Postdoc candidates: A PhD in a related discipline, with demonstrated expertise in AI, machine learning, computer vision, or robotic control systems.
• Proven experience in programming and algorithm development, preferably in Python, C++, or MATLAB.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and robotic operating systems.
• Excellent problem-solving skills and a passion for innovation in smart manufacturing.

What We Offer:

• A dynamic, collaborative, and supportive research environment.
• State-of-the-art facilities and resources for advanced manufacturing research.
• Opportunities for professional growth, including publishing in top-tier journals and presenting at international conferences.
• A competitive stipend/salary.

Application Process: Interested candidates should submit a CV, a cover letter detailing relevant experience and research interests, transcripts, and contact information for two references to Prof. Farbod Khameneifar via email at farbod.khameneifar@polymtl.ca. Applications will be reviewed on a rolling basis until the positions are filled.