APTPUO-Winter 2027-SYS5120

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2027 Winter Semester

Faculty:

Faculté de génie / Faculty of Engineering

Academic Unit:

École de conception et dinnovation pédagogique en génie School of Engineering Design and Teaching Innovation

Course Title:

APPLIED PROBABILITY

Course Code:

SYS5120

Section:

a

Course Description:

Develop and deliver engaging lectures on applied probability topics
Create comprehensive course materials aligned with the curriculum
Design challenging assignments and projects that apply theoretical concepts to real-world engineering problems
Conduct fair and thorough assessments including exams and quizzes
Provide timely and constructive feedback to students
Hold regular office hours to support student learning and address questions
Collaborate with other system science professors to ensure curriculum alignment and integration with other courses
Incorporate innovative teaching methodologies that enhance student engagement and learning outcomes
Uses brightspace for course administration

Posting limited to:

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

Date Posted (YYYY/MM/DD):

2026/05/20

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

2026/06/21

Expected Enrolment:

40

Approval date:

2026/05/20

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:

Régulier / Regular

Language of instruction:

Anglais English

Competence in second language:

Active

Course Schedule:

Mardi Tuesday 16:00-17:30 Jeudi Thursday 14:30-16:00 -

Requirements:

Required:

• Ph.D. in Systems Engineering Mathematics Statistics or a closely related field
• Demonstrated expertise in probability theory stochastic processes and their applications in engineering
• Minimum of 3 years teaching experience at the graduate level
• Excellent communication and interpersonal skills
• Proficiency in using mathematical software packages (e.g. MATLAB R or Python) for probability simulations and analysis
• Commitment to fostering an inclusive and diverse learning environment

Preferred:

• Industry experience applying probability theory in engineering contexts
• Publication record in relevant peer-reviewed journals
• Experience with online or hybrid course delivery
• Familiarity with interdisciplinary approaches in engineering education

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 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.