TA (CUPE) - DTO6231 A - Winter 2027

Job summary

The teaching assistant will be responsible for student contact and grading for the Process Modelling, Mining, and Automation course. They will also perform other administrative tasks as required by the supervising professor.

Job details

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): Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work. 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.

What you’ll do

The teaching assistant will be responsible for student contact and grading for the Process Modelling, Mining, and Automation course. They will also perform other administrative tasks as required by the supervising professor.

Requirements

Candidates must have demonstrated experience with process modelling, BPMN, and process mining tools like Apromore. Additionally, proficiency in process automation, data science, and Python programming is required.

Listed skills

• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Process modelling
• BPMN
• Process mining
• Apromore
• Process analysis
• Simulation
• Process automation
• BPMS
• RPA
• Low-code
• Data science
• Python
• English Language
• Innovation
• Data Science
• Research
• Python (Programming Language)
• Engineering Design Process
• Creativity
• Automation
• Teamwork
• Robotic Process Automation
• Business Process Automation
• Process Mining
• Teaching
• Employment Equity
• Workplace Inclusivity
• Process Modeling
• Process Analysis
• Business Process Model And Notation

Job areas

• Education
• Engineering
• Data & Analytics
• Technology
• Fine Wine Manager
• Teacher Assistant
• Teachers' Aides
• Teaching Assistants, All Other
• Teaching Assistants, Except Postsecondary

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