APTPUO - MCG5138 J - Winter 2027

Job summary

The instructor will teach a course on advanced agentic and multi-agent AI systems, focusing on their design, orchestration, and deployment in engineering fields. Responsibilities include delivering course content in person and coordinating academic goals for students.

Job details

Posting Reason: New Position Location: Main Campus Academic Period: 2027 Winter Semester Faculty: Faculté de génie / Faculty of Engineering Academic Unit: Département de génie mécanique \\ Department of Mechanical Engineering Course Title: Advanced Topics in Mechanical Engineering Course Code: MCG5138 Section: J Course Description: Subtitle: Agentic AI Systems Innovation and Design Course Description: this course will explore the next evolutionary stage of artificial intelligence systems that are not merely generative or reactive, but a multi agents, autonomous, and capable of performing tasks, coordinating resources, and achieving goals in complex environments. This course examines how modern agentic & multi-AI agents’ systems are designed, orchestrated, governed, and deployed across scientific, industrial, and all engineering fields. Posting limited to: Professeur à temps-partiel régulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/10/02 Applications must be received BEFORE (YYYY/MM/DD): 2026/11/02 Expected Enrolment: 30 Approval date: 2026/10/02 Number of credits: 3 Work Hours: 39 Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025) The academic year starts on September 1 and ends on August 31. These rates do not included vacation pay nor statutory pay. These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification. Course type: C Posting type: Régulier / Regular Language of instruction: Anglais | English Competence in second language: Passive Course Schedule: Vendredi | Friday 17:30-20:30 - - This course will be offered in person. Requirements: Candidate Profile: PhD in Mechanical Engineering. Extensive research experience in the area Licensed or eligible for licensing as professional engineers with a Canadian engineering regulator. Instruction mode: Courses will be in person. Please note that the teaching method could change due to health measures or other reasons. Additional Information and/or Comments: An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law. The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

What you’ll do

The instructor will teach a course on advanced agentic and multi-agent AI systems, focusing on their design, orchestration, and deployment in engineering fields. Responsibilities include delivering course content in person and coordinating academic goals for students.

Requirements

Candidates must hold a PhD in Mechanical Engineering and possess extensive research experience in the field. Additionally, they must be licensed or eligible for licensing as a professional engineer with a Canadian engineering regulator.

Listed skills

• Teamwork · Preferred
• Recruitment · Preferred
• assessment · Preferred
• Organization · Preferred
• Training · Preferred
• Collaboration · Preferred
• staff · Preferred
• Health · Preferred
• Process · Preferred
• Time · Preferred
• future · Preferred
• English · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Mechanical Engineering
• Artificial Intelligence
• Agentic AI
• Multi-agent Systems
• System Design
• Orchestration
• Governance
• Deployment
• Research
• Teaching
• Employment Equity
• Workplace Inclusivity
• AI Agents
• Artificial Intelligence Systems
• Creativity
• English Language
• Innovation
• Research Experiences
• Teamwork

Job areas

• Education
• Engineering
• Technology
• Science & Research
• Unclassified
• Mechanical Engineering Professor
• University and Higher Education Teachers
• Engineering Teachers, Postsecondary
• Postsecondary Teachers

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