TA (CUPE) - DTI5125/GNG5125 A - Winter 2027

University of Ottawa

Ottawa

On-site

CAD 47,000 - 73,000

Part time

8 days ago

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Job summary

University of Ottawa is seeking two Teaching Assistant/Demonstrator/Lab Monitor positions for Data Science Applications (Course DTI5125/GNG5125). Work is on main campus with winter term 2027 and a 65-hour total workload. Compensation includes hourly rates for undergrad and grad students.

Preference given to thesis-based graduate students in Computer Engineering with strong Python/Jupyter, ML libraries, Git, and SQL skills. Start Jan 4, 2027 and end Apr 30, 2027.

Qualifications

  • Strong knowledge of Python and Jupyter Notebook.
  • Familiar with open-source ML libraries such as TensorFlow and Weka; Git, Windows and Linux; SQL.
  • Past TA/Data Science/Analytics experience is a plus; good GPA and graduate studies preferred.

Responsibilities

  • Contact with Students: assist and mentor students as assigned.
  • Grading: evaluate assignments and exams.
  • Proctoring: monitor exams to ensure integrity.
  • Other duties may be negotiated with supervising professor.

Skills

Python
Jupyter
Data science
Open-source ML libraries
Git
SQL
Machine learning
Windows
Linux

Education

Graduate student status
Thesis-based program in CS/Engineering

Tools

TensorFlow
Weka
Git
SQL

Job description

Posting 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: Data Science Applications

Course Code: DTI5125/GNG5125

Section: A

Supervisor name (if known): Arya Rahgozar

Date Posted (YYYY/MM/DD): 2026/10/27

Applications must be received BEFORE (YYYY/MM/DD): 2026/11/12

Tasks

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 :25
  • Correction - Notation / Grading :35
  • Surveillance / Proctoring :5
  • Formation / Training :0
  • Autre / Other :0

Number of positions: 2 Expected Enrolment: 60

Work Start Date: janvier 04, 2027 Work End Date: avril 30, 2027 Total Work Hours: 65

Compensation and Hours

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

Preference will be given to a candidate enrolled in a thesis-based graduate program in Computer Engineering, whose thesis is related to machine learning or its applications and whose GPA is above 3.0.

Candidate must have a strong knowledge of Python, Jupiter notebook, and be familiar with open-source machine learning libraries such as Deep Learning libraries, TensorFlow, Weka and others; Git, Windows and Linux, SQL.

Machine Learning use in publication is preferred, especially if used machine learning open-source libraries and API.

Practical work experience involving software engineering and programming, along with involvement and past participation in Data driven competitions, data analytics projects and collaborations, or Data science related Hackathons involvements would be an asset.

Past TA experience in Data Science or Data Analysis or stats related courses are preferred.

Additional Information and 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.

The hiring process will be governed by the current CUPE 2626 collective agreement;

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.

Benefits

The University of Ottawa offers a generous pay and benefits package that includes a competitive salary, a defined benefit pension plan, group insurance coverage and an employee and family assistance program.

  • a competitive salary
  • a defined benefit pension plan
  • group insurance coverage
  • an employee and family assistance program

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