APTPUO Winter 2027- MIA5150 D- (ONLINE)
Posting Reason: New Position Location: Main Campus Academic Period: 2027 Winter Semester Faculty: Faculté de génie / Faculty of Engineering Academic Unit: École de conception et d’innovation pédagogique en génie \\ School of Engineering Design and Teaching Innovation Course Title: Topics in Interdisciplinary Artificial Intelligence Course Code: MIA5150 Section: D Course Description: This course explores the principles, techniques, and applications of Generative AI to drive innovation, improve operational efficiency, and support data-driven decision-making across modern enterprises. Delve into key techniques, including AI integration, AutoML, workflow automation, prompt engineering, and human-AI interaction approaches for designing and implementing practical AI solutions. The course also examines AI strategy, governance frameworks, risk management, and responsible AI practices to ensure ethical and effective deployment. Learn to work with pre-trained and custom AI models to enhance productivity and business workflows. Hands-on activities using no-code and low-code tools to build prototypes, dashboards, automated workflows, reports, and AI-driven solutions. Posting limited to: Professeur à temps-partiel régulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06/08 Applications must be received BEFORE (YYYY/MM/DD): 2026/07/09 Expected Enrolment: 30 Approval date: 2026/06/08 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: Régulier / Regular Language of instruction: Anglais | English Competence in second language: Active Course Schedule: Jeudi | Thursday 19:00-22:00 - - Requirements:
Requirements
Master’s or PhD degree, with a specialization or demonstrated academic focus in Artificial Intelligence, Machine Learning, NLP, or closely related areas 3-5 years of industry experience applying Generative AI technologies to business innovation, digital transformation, process improvement, or AI-enabled business solutions. Expertise in Generative AI concepts, tools, and applications, including prompt engineering, AI assistants, workflow automation, AI integration, and human-AI collaboration Experience in AI strategy, governance, risk management, responsible AI practices, and enterprise AI adoption Hands-on experience using no-code, low-code, or AI-enabled development platforms to create workflows, dashboards, or business solutions. Assets Relevant industry certifications or professional experience in AI, cloud platforms, analytics, or digital transformation. Previous teaching experience in AI or related fields, and/or experience designing and delivering professional or technical training in AI-related topics. Additional Information and/or Comments: The course is online 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 [email protected] 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. Apply To This Job