The University of Ontario Institute of Technology (UOIT), located in Oshawa, Ontario, advances the discovery and application of knowledge through a technology-enriched learning environment and innovative programs responsive to the needs of students, and the evolving 21st-century workplace. UOIT promotes social engagement, fosters critical thinking, and integrates outcomes-based learning experiences inside and outside the classroom. We invite you to consider joining UOIT’s globally trained faculty as we further our reputation for providing a leading-edge learning environment and delivering innovative research.
The Department of Automotive, Mechanical and Manufacturing Engineering invites applications, from qualified individuals, for two tenure-track or tenured positions at the level of Assistant or Associate Professor in the area of Mechatronics Engineering, with preferred research expertise in one of the following areas: sensor and embedded systems; autonomous systems with a focus on autonomous vehicles; artificial intelligence with applications in mechatronic systems; or collaborative robotics. These positions are subject to budgetary approval, and would start on July 1, 2018, or as soon as they are filled.
The successful candidates will be expected to conduct active and innovative research programs and to teach at the undergraduate and graduate levels. UOIT is a technology-enhanced learning environment and seeks faculty members who strive to explore and develop new pedagogies by integrating technology into the curriculum. Applicants will possess a Ph.D. in the area of Mechatronics Engineering or a related field; a strong academic background; an established record of excellence in innovative and scholarly research leading to peer assessed publications; and be registered, or eligible and committed to registration, as a Professional Engineer in Ontario. A commitment to supporting student success has been demonstrated through outstanding contributions to teaching, training, and mentorship, as well as institutional service. In addition, qualified candidates will possess excellent communication skills demonstrated through a track record of collaborative/collegial relationships with faculty, staff, students, and the community at large and a commitment to promoting a respectful work and learning environment.
The successful candidates will be expected to follow a 40% Research, 40% Teaching and 20% Service workload each year.
For more details and to apply, see the full posting here.