CUPE-Hiver/Winter 2027- AE/TA-CSI2110D

Job description

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: EECS_ST Job Classification: Teaching Assistant/Demonstrator/Lab Monitor (CUPE) Posting Type: Cours précis / Specific course Course Title: Data Structures Course Code: CSI2110 Section: D Supervisor name (if known): Date Posted (YYYY/MM/DD): 2026/10/22 Applications must be received BEFORE (YYYY/MM/DD): 2026/11/05 Description of tasks (hours): 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:0 Correction - Notation / Grading:0 Surveillance / Proctoring:0 Formation / Training:0 Autre / Other:0 Number of positions: 1 Expected Enrolment: 17 Work Start Date: January 01, 2027 Work End Date: April 30, 2027 Total Work Hours: 130 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: IN PERSON Language of Work: Anglais | English Requirements and Nature of Work: Nature of Work: Proctoring exams. Teach a lab section and/or a DGD section. Prepare for teaching, discuss with the lecturer. Maintain all homework marks on the Web. Be available to the students (email, appointments). Correct assignments. Minimum Requirements: Preference will be given to candidates who have completed this course or its equivalent and its prerequisite(s) with a mark of A or better. Attend a TA workshop if necessary. Must be ready for an interview if considered for this position. If the responsibilities include DGD and/or TUT and/or LAB supervision or teaching, the applicant must be available for all of these. Programming experience with the core Java language, OO programming in Java, the Java class library. Deep understanding of data structures and analysis of algorithms should be demonstrated as a prerequisite for hiring. Candidates should specify in the application their grades on relevant courses such as an equivalent course to this one and an advanced course on design and analysis of algorithms. Good teaching skills and patience to work with 2nd year students. Please note that the teaching method will be delivered: in person. ​NOTE: le nombre de postes et le nombre d'heures offertes sont tous deux assujettis aux inscriptions finales dans ce cours. Please note that the number of hours and positions offered may vary due to enrolments in that course. 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; you can click here to find out more. 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.