TA (CUPE) - DTO6231 A - Winter 2027

University of Ottawa

Ottawa

On-site

CAD 47,000 - 73,000

Part time

4 days ago
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Job summary

The University of Ottawa is seeking a Teaching Assistant/Demonstrator/Lab Monitor for the Winter 2027 session in the Faculty of Engineering, for the Course DT I6231: Process Modelling, Mining, and Automation. The TA will support 30 enrolled undergraduates and assist in lab sessions, grading, and student contact.

Responsibilities include research support, data-driven analysis, and collaboration with the supervising TA/Professor Najah Mary El-Gharib.

Qualifications

  • Demonstrated experience with process modelling, including with BPMN.
  • Experience with Process Mining tools (ideally Apromore), and with process analysis and simulation.
  • Experience with process automation (BPMS, RPA, and low-code).
  • General knowledge of data science, with related experience using Python.

Responsibilities

  • Contact with students during course sessions.
  • Grading and assessment of student work.
  • Research assistance and literature review related to the course content.
  • Other instructional support tasks as needed.
  • Monitoring and assisting during tutorials and labs.

Skills

Process modelling
Process Mining
Process automation
Python
Data science

Tools

Apromore
BPMS
RPA
Low-code

Job description

Posting Reason:

New Position


Location where work is to be performed:

Main Campus


Session:

2027 Winter Semester | Trimestre d'hiver


Faculty:

Faculté de génie / Faculty of Engineering


Unit:

School of Engineering Design and Teaching Innovation_ST


Job Classification:

Teaching Assistant/Demonstrator/Lab Monitor (CUPE)


Posting Type:

Cours précis / Specific course


Course Title:

Process Modelling, Mining, and Automation


Course Code:

DTI6231


Section:

A


Supervisor name (if known):

Najah Mary El-Gharib


Date Posted (YYYY/MM/DD):

2026/10/27


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

2026/11/12


Description of tasks (hours):


  • Recherche / Research :0

  • Préparation / Preparation :0

  • Contact avec étudiants / Contact with Students :30

  • Correction - Notation / Grading :30

  • Surveillance / Proctoring :0

  • Formation / Training :0

  • Autre / Other :5


Number of positions:

1


Expected Enrolment:

30


Work Start Date:

janvier 04, 2027


Work End Date:

avril 30, 2027


Total Work Hours:

65


Hourly Rate:

AE-RA-Tuteur / TA-RA-Tutor : $33.83 ou/or $53.31 (Sept. 2026 - Aug. 2027)


Undergraduate students will be paid at the lower rate; while graduate students will be paid at the higher rate.


These rates do not include vacation pay nor statutory pay.


Method of Delivery:

na


Language of Work:

Anglais | English


Requirements and Nature of Work:


  • Demonstrated experience with process modelling, including with BPMN.

  • Experience with Process Mining tools (ideally Apromore), and with process analysis and simulation.

  • Experience with process automation (BPMS, RPA, and low-code).

  • General knowledge of data science, with related experience using Python.


Additional Information and/or Comments:

All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence.


The hiring process will be governed by the current CUPE 2626 collective agreement; you can click here 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 the academic unit to communicate the accommodation need.


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.

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