Posting Reason:
New Position
Location:
Main Campus
Academic Period:
2026 Fall Semester
Faculty:
Faculte de genie / Faculty of Engineering
Academic Unit:
Ecole de conception et d'innovation pedagogique en genie \\ School of Engineering Design and Teaching Innovation
Course Title:
PROGRAMMATION SCRIPTS INTEGRES
Course Code:
SED 3515
Section:
A
Course Description:
Nous cherchons un enseignant a temps partiel pour dispenser le cours SED 3515 : Introduction a l'intelligence artificielle, un cours de 3 credits concu pour enseigner aux etudiants les principes fondamentaux de l'intelligence artificielle. Le cours met l'accent sur l'apprentissage des principes fondamentaux a travers des applications pratiques et des
travaux concrets, et explore les concepts cles de l'IA, notamment les algorithmes de base, les techniques d'apprentissage automatique et la prise de decision fondee sur les donnees.
Principales responsabilites :
Dispenser des cours magistraux captivants et animer des discussions sur les
themes abordes
Creer et evaluer des devoirs, des projets et des examens portant a la fois sur la
conception et la mise en oeuvre de sites web
Aligner l'enseignement sur la description du cours et les acquis d'apprentissage
approuves
Coordonner les examens et autres elements du cours avec le cours SED 3115
Se tenir informe des avancees theoriques et pratiques en matiere d'IA
Posting limited to:
Professeur a temps-partiel regulier / Regular Part-Time Professor
Date Posted (YYYY/MM/DD):
2026/05/15
Applications must be received BEFORE (YYYY/MM/DD):
2026/06/16
Expected Enrolment:
77
Approval date:
2026/05/15
Number of credits:
3
Work Hours:
39
Hourly Rate:
Enseignement / Teaching: $239.47 (2024-2025)
The academic year starts on September 1 and ends on August 31.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Course type:
B
Posting type:
Regulier / Regular
Language of instruction:
Francais | French
Competence in second language:
Passive
Course Schedule:
Mardi | Tuesday 16:00-19:00 - -
Requirements:
Obligatoires :
Master en informatique, en genie logiciel ou equivalent
Experience averee en enseignement ou en formation professionnelle dans le domaine de l'intelligence artificielle
Excellentes competences en communication et en relations interpersonnelles
Experience avec les modeles classiques d'apprentissage automatique (par exemple, la regression logistique, les machines a vecteurs de support) et les modeles modernes (par exemple, les modeles generatifs, l'apprentissage auto-supervise et les grands modeles de langage)
Experience en optimisation de l'apprentissage automatique (par exemple, les methodes basees sur les gradients)
Preferees :
Doctorat en informatique, en genie logiciel ou equivalent
Experience professionnelle dans l'utilisation de l'IA pour resoudre des problemes du monde reel
Maitrise de Python et des frameworks et outils modernes d'IA
(scikit-learn, PyTorch/TensorFlow)
Capacite a integrer la theorie aux pratiques de developpement logiciel en entreprise
Experience dans l'evaluation critique des systemes d'IA en tenant compte de la securite, de la confidentialite et de la surete
Experience dans l'enseignement a des populations etudiantes diversifiees et dans la promotion d'environnements d'apprentissage inclusifs
Experience dans la promotion d'une classe active et axee sur l'experience
Additional Information and/or Comments:
An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.
The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit 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 vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
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.