Description: Posting limited to: Professeur temps-partiel rgulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06/05 Applications must be received BEFORE (YYYY/MM/DD): 2026/08/15 Expected Enrolment: 30 Approval date: 2026/07/14 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: B Posting type: Rgulier / Regular Language of instruction: Anglais | English Competence in second language: Active Course Schedule: Lundi | Monday 19:00-22:00 - - Requirements: Requirements Ph.D. in computer science, engineering, mathematics, operations research, or a closely related field with solid focus on AI/ML is required.

Experience teaching a similar course at the graduate level and/or undergraduate level Experience working on projects involving optimization techniques,



such as developing algorithms, modelling complex systems, or improving business processes, with applications in AI, machine learning, or data-driven decision systems.

Experience working with optimization tools and computational methods, such as Python, MATLAB, and/or optimization libraries/solvers Familiarity with AI or data-driven approaches in optimization, such as machine learning-enhanced optimization, heuristic methods, and intelligent decision systems.

Demonstrated industry experience applying AI, optimization, or data-driven methods to real-world problems including areas such as system optimization, data analysis, or process improvement, is highly desirable Additional Information and/or Comments: The course is online An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience.

📌 APTPUO Winter 2027- MIA- 5130 (REPOST) (Ottawa)
🏢 University of Ottawa
📍 Ottawa