Campus, IL · On-site
$239.47/hr
Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06 ... Experience working with optimization tools and computational methods, such as Python, MATLAB, and ...
Campus, IL · On-site
$239.47/hr
Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06 ... Experience working with optimization tools and computational methods, such as Python, MATLAB, and ...
| Aspect | Temporary Python Instructor | Python Tutor |
|---|---|---|
| Credentials | Typically requires a teaching certification or relevant Python expertise | May require Python knowledge, but less formal teaching certification |
| Work Environment | Often in educational institutions, coding bootcamps, or workshops | Usually one-on-one or small group online or in-person sessions |
| Employer & Industry Usage | Educational organizations, training companies, or schools | Private tutoring platforms, freelance, or online marketplaces |
| Search & Comparison Intent | Looking for short-term teaching roles in Python programming | Seeking personalized Python help or coaching |
The main difference is that a Temporary Python Instructor typically works in formal educational settings, delivering structured courses, while a Python Tutor offers personalized, often one-on-one, coaching sessions. Both roles require Python knowledge, but the instructor role emphasizes teaching credentials and classroom experience, whereas tutoring focuses on personalized guidance.
$239.47/hr
Part-time
PTO
Re-posted 8 hours ago
Posting Reason:
New PositionLocation:
Main CampusAcademic Period:
2027 Winter SemesterFaculty:
Faculte de genie / Faculty of EngineeringAcademic Unit:
Ecole de conception et d'innovation pedagogique en genie \\ School of Engineering Design and Teaching InnovationCourse Title:
SYSTEMS OPTI AND MNGTCourse Code:
MIA5130Section:
ACourse Description:
Posting limited to:
Professeur a temps-partiel regulier / Regular Part-Time ProfessorDate Posted (YYYY/MM/DD):
2026/06/05Applications must be received BEFORE (YYYY/MM/DD):
2026/08/15Expected Enrolment:
30Approval date:
2026/07/14Number of credits:
3Work Hours:
39Hourly 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:
BPosting type:
Regulier / RegularLanguage of instruction:
Anglais | EnglishCompetence in second language:
ActiveCourse Schedule:
Lundi | Monday 19:00-22:00 - -Requirements:
Requirements
Ph.D. in computer science, engineering, mathematics, operations research, or a closely related field with strong 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 onlineAn 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.