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APTPUO Winter - MIA ONLINE

Remote / Online - Candidates ideally in
Ottawa, Ontario, Canada
Listing for: University of Ottawa
Part Time, Remote/Work from Home position
Listed on 2026-06-12
Job specializations:
  • Education / Teaching
    Data Scientist
Job Description & How to Apply Below
Position: APTPUO Winter 2027- MIA- 5130 (ONLINE)

Description

:

Posting limited to:

Professeur à temps-partiel régulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/06/05

Applications must be received
BEFORE (YYYY/MM/DD):

2026/07/06

Expected Enrolment:

30

Approval date:

2026/06/05

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 )

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:

Régulier / 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 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 online

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience.

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