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 2018 and/or Winter 2019 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. The CI stipend is $7,306 per 0.5 credit course.
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.
Review of applications and hiring decisions will be made in accordance with the CUPE4600 (Unit 2) Collective Agreement, article 16- hiring, incumbency & seniority. For more information on article 16 please visit: CUPE 4600–2 Collective Agreement.
All positions are subject to budgetary approval.
|HCIN 5100||Topics in Artificial Intelligence||May 22, 2018|
|DATA 5000||Data Science Seminar||May 22, 2018|
|COMP4102||Computer Vision||May 22, 2018|
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 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.
|COMP3804 (W19)||Design and Analysis of Algorithms I|