Job opportunity
TA (CUPE) - MEM5300 A - Winter 2027
University of Ottawa
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
Data Mining for Business Analytic
Course Code
MEM5300
Section
A
Supervisor name (if known)
TBD
Date Posted (YYYY/MM/DD)
2026/10/29
Applications must be received BEFORE (YYYY/MM/DD)
2026/11/14
Description of tasks (hours)
Recherche / Research :0
Préparation / Preparation :0
Contact avec étudiants / Contact with Students :33
Correction - Notation / Grading :27
Surveillance / Proctoring :5
Formation / Training :0
Autre / Other :0
Number of positions
1
Expected Enrolment
35
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
Minimum grade of A in a course in Data Mining and Machine Learning.
Solid experience with IBM SPSS Modeler software application.
Good English communication skills.
Experience with online course delivery (e.g., Brightspace).
Experience with online videoconferencing environments (e.g., Zoom and Microsoft Teams).
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.
University of Ottawa values diversity and inclusion
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.
Vaccination policy
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.
#J-18808-Ljbffr
Apply on source site 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
Data Mining for Business Analytic
Course Code
MEM5300
Section
A
Supervisor name (if known)
TBD
Date Posted (YYYY/MM/DD)
2026/10/29
Applications must be received BEFORE (YYYY/MM/DD)
2026/11/14
Description of tasks (hours)
Recherche / Research :0
Préparation / Preparation :0
Contact avec étudiants / Contact with Students :33
Correction - Notation / Grading :27
Surveillance / Proctoring :5
Formation / Training :0
Autre / Other :0
Number of positions
1
Expected Enrolment
35
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
Minimum grade of A in a course in Data Mining and Machine Learning.
Solid experience with IBM SPSS Modeler software application.
Good English communication skills.
Experience with online course delivery (e.g., Brightspace).
Experience with online videoconferencing environments (e.g., Zoom and Microsoft Teams).
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.
University of Ottawa values diversity and inclusion
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.
Vaccination policy
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.
#J-18808-Ljbffr