Assistant Professor - Industrial Engineering

ontariotechu • Oshawa, ON

44d • Onsite

About The Position

Ontario Tech University (University of Ontario Institute of Technology), located in Oshawa, Ontario, is proud to encourage an interactive, information-sharing culture for our individual staff, and teams which enhance organizational effectiveness. Ontario Tech’s innovative programs, and technology-enriched learning environment create an atmosphere of academic excellence. Ontario Tech promotes social engagement, fosters critical thinking, and integrates outcomes-based learning experiences inside and outside the classroom. We invite you to consider joining Ontario Tech's globally trained faculty as we further our reputation for providing a leading-edge learning environment and delivering innovative research.

The Department of Mechanical and Manufacturing Engineering invites applications, from qualified individuals, for three (3) tenure-track positions at the level of Assistant Professor in Industrial Engineering with special interest in Industry 5.0, including smart supply chain and logistics, generative AI and machine learning, and data fusion for predictive maintenance. Two positions are expected to start in September 2026 and one in January 2027, subject to budgetary approval.
The successful candidates will be expected to conduct active and innovative research programs and teach at both the undergraduate and graduate levels. In keeping with a technology‐enhanced learning environment and platforms, Ontario Tech seeks successful faculty who strive to explore and develop new pedagogies. The successful candidates are expected to possess a PhD in Industrial Engineering or a related field with a strong academic background and an established record of excellence in innovative and experimental research leading to peer-reviewed publications. The candidates are further expected to be registered as a Professional Engineer or eligible to register as a Professional Engineer in Ontario. The successful candidates must also demonstrate strong potential for outstanding teaching contributions. In addition, the candidates should possess excellent English language skills demonstrating an ability to ensure strong, two-way communications on an ongoing basis that contribute to collaborative/collegial relationships with faculty, staff, students, and the community at large.
The successful candidates will be expected to follow a 40% Research, 40% Teaching, and 20% Service workload each year.
The Department of Mechanical and Manufacturing Engineering (MME) offers Honours undergraduate degrees in Mechanical Engineering, Manufacturing Engineering, and Industrial Engineering. The Department also offers the corresponding Engineering and Management degrees for all the programs. In addition, the Department offers Master’s (MASc and MEng) and PhD programs in Mechanical Engineering (with various specializations), and a graduate program (MEngM) in Engineering Management. The Department is committed to excellence and innovation in interdisciplinary teaching and research, which is relevant to the needs of society and the local community. The Department promotes these ideals by emphasizing the integration of knowledge and technology to provide learning and research opportunities for students.
Further details about the Faculty of Engineering and Applied Science can be found at https://engineering.ontariotechu.ca.

Requirements

• PhD in Industrial Engineering or a related field.
• Strong academic background.
• Established record of excellence in innovative and experimental research leading to peer-reviewed publications.
• Registered as a Professional Engineer or eligible to register as a Professional Engineer in Ontario.
• Strong potential for outstanding teaching contributions.
• Excellent English language skills demonstrating an ability to ensure strong, two-way communications on an ongoing basis that contribute to collaborative/collegial relationships with faculty, staff, students, and the community at large.

Nice To Haves

• Special interest in Industry 5.0, including smart supply chain and logistics, generative AI and machine learning, and data fusion for predictive maintenance.

Responsibilities

• Conduct active and innovative research programs.
• Teach at both the undergraduate and graduate levels.
• Explore and develop new pedagogies.
• Follow a 40% Research, 40% Teaching, and 20% Service workload each year.

Benefits

• Tenured and Tenure-Track, Full-time Continuing appointment
• Salary commensurate with experience
• Annual salary increases administered as per the terms outlined in the collective agreement
• Accommodation for applicants where appropriate
• Confidentiality maintained throughout all aspects of the recruitment cycle

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree