Engineering
University: University of Guelph (in collaboration with University of Toronto)
Country: Canada
Deadline: Not specified
Applications are invited for MASc (domestic applicants only) and PhD (domestic and international applicants) positions in a collaborative research project between the University of Guelph and the University of Toronto’s Centre for Maintenance Optimization and Reliability Engineering (C-MORE). The research will focus on tool wear prediction in machining operations, utilizing both physics-informed and machine learning-driven methodologies.
Requirements
– Academic background in Mechanical, Manufacturing, or Industrial Engineering, or a closely related field
– Experience with Python programming
– Minimum GPA of 3.7 out of 4.0
– For international PhD applicants: minimum IELTS score of 6.5
Interested candidates are requested to submit their CV and a cover letter to Dr. Hussein Hegab at hhegab@uoguelph.ca.
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