APTPUO Winter 2027- MIA- 5130 (ONLINE)
University of Ottawa•Ottawa, ON
•Remote
About The Position
The Faculty of Engineering at the University of Ottawa is seeking a Regular Part-Time Professor for the course SYSTEMS OPTI AND MNGT (MIA5130, Section A) during the Winter 2027 semester. This online course is scheduled for Mondays from 19:00 to 22:00. The University of Ottawa is committed to diversity, inclusion, and creating a barrier-free work environment. We encourage applications from qualified individuals of all backgrounds. All qualified candidates are invited to apply, with priority given to Canadians and permanent residents.
Requirements
- Ph.D. in computer science, engineering, mathematics, operations research, or a closely related field with a strong focus on AI/ML.
- Experience teaching a similar course at the graduate level and/or undergraduate level.
- Experience working on projects involving optimization techniques (developing algorithms, modeling complex systems, improving business processes) with applications in AI, machine learning, or data-driven decision systems.
- Experience working with optimization tools and computational methods (e.g., Python, MATLAB, optimization libraries/solvers).
- Familiarity with AI or data-driven approaches in optimization (e.g., machine learning-enhanced optimization, heuristic methods, intelligent decision systems).
- Demonstrated industry experience applying AI, optimization, or data-driven methods to real-world problems (system optimization, data analysis, process improvement).
Nice To Haves
- Industry experience applying AI, optimization, or data-driven methods to real-world problems including areas such as system optimization, data analysis, or process improvement.
Responsibilities
- Teach the course SYSTEMS OPTI AND MNGT (MIA5130, Section A) at the graduate or undergraduate level.
- Develop and deliver course content, including algorithms, modeling, and process improvement.
- Apply optimization techniques, AI, machine learning, and data-driven methods to real-world problems.
- Utilize optimization tools and computational methods such as Python and MATLAB.
- Engage with students in an online learning environment.
- Complete all mandatory legislated training as required by provincial law.
Benefits
- Competitive salary
- Defined benefit pension plan
- Group insurance coverage
- Employee and family assistance program
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
