The School of Computer Science invites applications from members of the CUPE 4600-2 bargaining unit and other interested persons to teach courses that will be offered during the Fall 2022 and/or Winter 2023 Terms. Specific courses requiring CIs are listed below and course descriptions are available at: calendar.carleton.ca/undergrad/courses/COMP/

 Applicants are required to have a Master’s degree in Computer Science or equivalent qualifications. Previous teaching experience in the subject area is not required but will be considered an asset. CI stipend can be found in the Collective Agreement.

Applications should be sent to the School of Computer Science, at SCSApplication@cunet.carleton.ca. As per article 15.3 of the current CUPE 4600–2 Collective Agreement, applicants are required to submit an up-to-date CV that includes a complete listing of all courses taught within the CUPE 4600 Unit 2 bargaining unit at Carleton University; evidence of teaching competence including previous teaching evaluations at Carleton or at another institution; contact information for two references; and a Contract Instructor Application Form.

A note to all applicants: As per Articles 16.3 and 16.4 in the CUPE 4600-2 Collective Agreement, the posted vacancies listed below are first offered to applicants meeting the incumbency criterion. A link to the current CUPE 4600-2 Collective Agreement can be found at the Academic Staff Agreements webpage on the Carleton University Human Resources websiteCUPE 4600–2 Collective Agreement and the CUPE 4600-2 website.

All positions are subject to budgetary approval.

The University may require that all or part of these courses be delivered remotely, including online.

FALL 2022 

Course Title Closing Date
COMP 1001 Introduction to Computational Thinking for Arts and Social Science Students July 8, 2022
COMP 1005 Introduction to Computer Science I July 8, 2022
DATA5000 Data Science Seminar July 8, 2022
  •   Data Science Seminar applicants are required to have a PhD and relevant background and/ or experience in data science and analytics or equivalent qualifications. Expertise in data mining, exploratory data analysis, and machine learning are essential.

WINTER 2023

Course Title Closing Date
COMP 1001 Introduction to Computational Thinking for Arts and Social Science Students July 8, 2022
COMP 4102 Computer Vision July 8, 2022

NOTE: If you are an incumbent for a course, you are not required to (re)submit documentation beyond an updated CV.

Pre-Posting Hiring Decisions:

The following courses below have been assigned to graduate students, post-doctoral fellows, or visiting scholars.  These courses are not open for applications if you are an incumbent for a course below you may contact the school to review the rights under article 17.6 of the CUPE 4600-2 Collective Agreement.

Course Title
N/A