Object-Oriented Programming Engineers

Position: Object-Oriented Programming for Engineers

for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA399135
- Winter 2027-ENGG
* 1420 Object-Oriented Programming for Engineers

Teaching Assistant Work Assignment

Type of Work Assignment and Bargaining Unit:

GTA, Unit 1

Academic Unit:

School of Engineering

Semester(s) of Assignment(s):

Winter 2027

This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period:

Some

Course Number:

ENGG
* 1420

Course Name:

Object-Oriented Programming for Engineers

Course Format:

In-Class

Course

Description:

See Course Calendar

Other Course Description or Assignment Information:

Applicants may be invited to an interview. Applicants are encouraged to provide contact information for a least two references as additional evidence of subject area knowledge, teaching effectiveness, and other qualifications.

The University of Guelph has vaccination and masking policies that may be altered with limited notice depending on COVID-19 circumstances and advice from government, public health authorities, and prevailing science. Currently, the vaccination and masking policies are paused but may resume with little advance notice to address the health risks. Should this occur, vaccinations will be required. You can choose to submit proof of vaccination before your start date.

The University of Guelph has a COVID-19 Vaccination Policy and provides more Information about COVID-19 for Faculty and Staff.

209

Level of Appointment for GTA, GSA-1 UTA(s)

The following is an estimate of number and levels of available appointments at the time of posting. This may change (increase or decrease) at the time of assignment contingent on departmental needs.

This Posting includes Multiple Work Assignments:

Yes

Number of Available 0.25 (35 hour) Work Assignments:

0

Number of Available 0.5 (70 hour) Work Assignments:

0

Number of Available 0.75 (105 hour) Work Assignments:

0

Number of Available Full 1.0 (140 hour) Work Assignments:

1+

Total Number (Load) of Assignment(s) Available:

1

Duties and Responsibilities Anticipated

Duties and Responsibilities:

Orientation-Training

Office Hours

Student Consultation

Conducting Labs/Seminars

Meetings

Invigilating Exams

Grading

Qualifications

Required Qualifications:

• Successfully completed this course, or one similar
• Excellent interpersonal, communication, and organizational skills
• An enthusiastic and professional attitude towards teaching
• Demonstrated competence with Java language programming

Preferred Qualifications:

• Subject matter expertise
• Interpersonal, communication, and organizational skills
• Teaching Effectiveness Teaching Experience

Days Required and Wages Days and Times

Required:

Period of the Work Assignment (Start Date and End Date):

January 7, 2027 to May 7, 2027

Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment):
Other Posting Information Final date to receive applications (All postings will automatically expire at 11:59 pm on this day):

Sunday, October 25, 2026

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution. For more information, the Office of Diversity and Human Rights (DHR) is a welcoming, safe and confidential one-stop shop for information, training and support on issues relating to diversity and human rights on our campus.

All applicants must be eligible to work in Canada specifically at the University of Guelph before applying for an academic work assignment. All successful applicants must perform their work in Ontario and must be able to attend on-campus in-person meetings as required. Teaching Assistant work assignments are unionized with CUPE 3913 and their terms and conditions of work are covered by the Unit 1 Collective Agreement between the University and CUPE 3913 (email contact: ).

The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.