University of Ottawa

Role Description This position is for a Regular Part-Time Professor for the course titled "SYSTEMS OPTI AND MNGT" (Course Code: MIA5130) at the Faculty of Engineering, École de conception et d’innovation pédagogique en génie. The course will be conducted online and is scheduled for Wednesdays from 19:00 to 22:00. Qualifications - Ph.D. in computer science, engineering, mathematics, operations research, or a closely related field with a strong focus on AI/ML. - Experience teaching a similar course at the graduate and/or undergraduate level. - Experience working on projects involving optimization techniques, such as developing algorithms, modeling complex systems, or improving business processes, with applications in AI, machine learning, or data-driven decision systems. - Experience working with optimization tools and computational methods, such as Python, MATLAB, and/or optimization libraries/solvers. - Familiarity with AI or data-driven approaches in optimization, such as machine learning-enhanced optimization, heuristic methods, and intelligent decision systems. - Demonstrated industry experience applying AI, optimization, or data-driven methods to real-world problems, including areas such as system optimization, data analysis, or process improvement, is highly desirable. Requirements - Applications must be received before 2026/07/06. - Expected enrolment for the course is 30 students. - Number of credits for the course is 3. - Hourly rate for teaching is $239.47 (2024-2025). - The academic year starts on September 1 and ends on August 31. - These rates do not include vacation pay nor statutory pay. - Rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification. Benefits - The University of Ottawa embraces diversity and inclusion in the workplace. - Commitment to employment equity and fostering a culture of respect, teamwork, and inclusion. - Support for applicants with disabilities requesting accommodation during the recruitment, assessment, and selection processes.

Role Description Posting limited to: Professeur à temps-partiel régulier / Regular Part-Time Professor - Location: Main Campus - Academic Period: 2026 Fall Semester - Course Title: FNDN & APP. MACHINE LEARNING - Course Code: MIA5100 - Section: A - Date Posted: 2026/06/05 - Applications must be received BEFORE: 2026/07/06 - Expected Enrolment: 30 - Approval date: 2026/06/05 - Number of credits: 3 - Work Hours: 39 - Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025) - Course type: B - Posting type: Régulier / Regular - Language of instruction: Anglais | English - Competence in second language: Active - Course Schedule: Mardi | Tuesday 19:00-22:00 Qualifications - Ph.D. in AI, Machine Learning, DTI, Computer Science, Statistics, Mathematics, Engineering, or a closely related field with a strong focus on AI/ML. - Demonstrated industry experience in AI/ML, including involvement in designing, building, and deploying machine learning systems in real-world applications. - Applied expertise in AI/ML, including areas such as Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), and model deployment, with evidence of real-world application in domains such as law, business, social sciences, or the arts. - Hands-on experience with industry-standard AI/ML tools and frameworks, including Python and libraries such as Scikit-learn, PyTorch or TensorFlow, NLP frameworks, Transformer-based models, and familiarity with ML pipelines and deployment workflows (e.g., Streamlit or similar tools). - Experience with cloud-based ML systems, including AWS, Azure, or Google Cloud, with demonstrated ability to deploy models in applied environments. - Experience delivering end-to-end AI/ML workflows, including data preparation, model development, evaluation, and deployment, in applied or industry settings. - Teaching experience in AI/ML at the graduate and/or undergraduate level. - Proven AI/ML experience in industry, as well as experience incorporating project-based or experiential learning approaches in AI/ML. Requirements - 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. - Employees are required under provincial law to successfully complete all mandatory legislated training. - The hiring process will be governed by the current APTPUO collective agreements. Benefits - 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. - 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. - 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.

Role Description The University of Ottawa is seeking a Regular Part-Time Professor for the course "ESNTL CONCEPTS IN DATA SC" (Course Code: MIA5126) to be taught during the 2027 Winter Semester. The course will be conducted online and is scheduled for Tuesdays from 19:00 to 22:00. Qualifications - Ph.D. in DTI, Data Science, Computer Science, Statistics, Mathematics, or a closely related field with a strong focus on Data Science, analytics, or AI/ML. - Strong expertise in Data Science, including: - Statistical modelling - Machine learning - Data visualization - Descriptive and predictive analytics - Time series analysis - Demonstrated industry experience applying Data Science techniques to real-world problems. - Teaching experience in Data Science or related fields at the undergraduate and/or graduate level. - Hands-on experience with modern Data Science tools and technologies, including: - Python - SQL - Spark - ML frameworks - Cloud platforms (AWS, Azure, Google Cloud) - Proven Data Science industry experience and experience incorporating project-based or experiential learning approaches in teaching. Requirements - Active competence in a second language. Benefits - Hourly Rate: $239.47 (2024-2025) for teaching. - Work Hours: 39 hours. - These rates do not include vacation pay nor statutory pay.

Role Description Posting limited to: Professeur à temps-partiel régulier / Regular Part-Time Professor Course Title: ESNTL CONCEPTS IN DATA SC Course Code: MIA5126 Course Schedule: Jeudi | Thursday 19:00-22:00 Expected Enrolment: 30 Number of credits: 3 Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025) The academic year starts on September 1 and ends on August 31. These rates do not include vacation pay nor statutory pay. These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification. Qualifications - Ph.D. in DTI, Data Science, Computer Science, Statistics, Mathematics, or a closely related field with a strong focus on Data Science, analytics, or AI/ML. - Strong expertise in Data Science, including statistical modelling, machine learning, data visualization, descriptive and predictive analytics, and time series analysis. - Applied experience in data engineering, data warehousing, big data analytics, and data workflows/pipelines. - Demonstrated industry experience applying Data Science techniques to real-world problems. - Teaching experience in Data Science or related fields at the undergraduate and/or graduate level. - Ability to explain complex technical concepts to diverse student cohorts. - Hands-on experience with modern Data Science tools and technologies, including Python, SQL, Spark, ML frameworks, and cloud platforms such as AWS, Azure, or Google Cloud. - Familiarity with distributed data storage and processing systems. - Proven data Science industry experience and demonstrated experience incorporating project-based or experiential learning approaches in teaching. Requirements - 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 hiring process will be governed by the current APTPUO collective agreements. - All qualified persons are invited to apply; however, Canadians and permanent residents will be given priority. Benefits - 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. - Collaboration, innovation, and creativity fuel our quest for research and teaching excellence. - 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.

Role Description Initiation au domaine émergent en études contemplatives et le bien-être. Identification des différentes traditions culturelles (historiques et contemporaines) pour appuyer la concentration, ainsi que qu'élargir et approfondir la pleine conscience. Étude critique et expérience de certaines méthodes pour favoriser l'empathie, la santé et le bien-être. Qualifications - Expérience d'enseignement réussi d'un contenu de niveau universitaire sur la littérature des études contemplatives dans une perspective de sciences humaines comparatives. - Expérience de l'encadrement des étudiants dans des pratiques contemplatives (par exemple, la méditation, la lectio divina, l'art contemplatif, la marche labyrinthique, etc.). - Préférence pour un instructeur dont les propres recherches s'inscrivent dans le domaine de la pleine conscience ou des études contemplatives, ou y sont étroitement liées. - Recherche et publications universitaires pertinentes. Requirements - Deux positions sont disponibles (2x19.5 heures, 2x1.5 crédits). Benefits - Enseignement / Teaching: $239.47 (2024-2025). - Ces taux ne comprennent pas le paiement de vacances ni le paiement statutaire. - Ces taux seront appliqués jusqu'à ce qu'un nouvel accord collectif soit ratifié. Le rétroactif sera payé après la ratification. Company Description La 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.

Role Description Introduction to the emerging field of animal studies. Overview introduction to cornerstone topics: - Historical and philosophical scope of animal studies - Animal representations in the arts and literature - Companion animals - Animals and sciences - Advocacy and animals - Human and non-human animal relations Qualifications - An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. Requirements - Employees are required under provincial law to successfully complete all mandatory legislated training. - The hiring process will be governed by the current APTPUO collective agreements. Benefits - The University of Ottawa embraces diversity and inclusion in the workplace. - Commitment to employment equity. - Fostering a culture of respect, teamwork, and inclusion. - Accessible, barrier-free work environment.

Role Description Initiation au domaine émergent des études animales. Introduction aux enjeux prioritaires du domaine. Par exemple : - Enjeux philosophiques et historiques des études animales - Représentations animales dans les arts et la littérature - Les animaux de compagnie - Les sciences et les animaux - Plaidoyer en faveur des animaux - Relations entre les animaux non-humains et les animaux humains Qualifications - PhD terminé ou en cours (ou au minimum une MA défendue avec succès) dans un champ interdisciplinaire des sciences humaines ou sociales - Expérience en enseignement universitaire dans le domaine des études animales - Un intérêt marqué pour la recherche en études animales, nommément sous la forme de publications arbitrées dans le domaine, sera considéré comme un atout - Un engagement démontré envers le bien-être animal Requirements - Applications must be received BEFORE 2026/07/06 - Expected Enrolment: 45 - Number of credits: 3 - Work Hours: 39 - Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025) - Course type: C - Posting type: Régulier / Regular - Language of instruction: Français | French - Course Schedule: Lundi | Monday 14:30-17:30 - - Le cours sera offert en conférence web Benefits - These rates do not include vacation pay nor statutory pay - Rates will be applied until a new collective agreement is ratified - Retro will be paid after the ratification

Role Description The course titled "Current Challenges in Food Safety and Nutrition" focuses on the development of critical analysis and strategic thinking skills by analyzing current literature and other resources to explore a variety of challenges encountered in the food industry. Topics include: - Scientific evidence and regulatory questions surrounding genetically modified foods, food allergens, and nutritional quality of the food supply (e.g., trans fat, sodium, sugars). - Emerging issues such as minimization of antimicrobial resistance and implications of microbiome research on food regulation. - Climate change and other global impacts on the food supply chain. - Safety of nanotechnology. - Concepts of emotional intelligence, stress management, and interpersonal relationships to build food safety culture within the workplace. Course Component: Lecture Instruction Mode: Online delivery Course Schedule: Fridays and Saturdays from September 11 to October 17, 2026, 2:30 p.m. to 5:30 p.m. Qualifications - Master's degree in Nutrition Sciences, Food Sciences, or an equivalent field. - Relevant experience in both professional practice and university teaching related to the course. - Strong communication skills and ability to teach effectively in an online environment. - If the degree is in an equivalent field, the candidate must clearly explain in their résumé how their academic background connects to Nutrition or Food Sciences. Requirements - Master's degree in Nutrition Sciences, Food Sciences, or an equivalent field. - Relevant experience in both professional practice and university teaching related to the course. - Strong communication skills and ability to teach effectively in an online environment. Benefits - Hourly Rate: $239.47 (2024-2025) for teaching. - These rates do not include vacation pay nor statutory pay. - Rates will be applied until a new collective agreement is ratified; retro pay will be provided after ratification.

Role Description Regulatory and voluntary tools used to manage risk in the food industry. Conduct food risk assessment using case studies. Strategies to minimize risk of cases of microbial, chemical and allergen contamination including the application of a decision-making framework for identifying, assessing, and managing health risks. Best practices and novel risk communication tools in the development of a risk management and communication plan. Examination of international food risk analysis activities. - Course Title: Fundamentals of Food Risk Analysis - Course Code: NUT5106 - Course Component: Lecture - Posting limited to: Professeur à temps-partiel régulier / Regular Part-Time Professor - Expected Enrolment: 15 - Number of credits: 3 - Work Hours: 39 - Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025) - Language of instruction: Anglais | English - Instruction Mode: Online delivery - Course Schedule: Fridays and Saturdays from October 23 to December 5, 2026, 2:30 p.m. to 5:30 p.m. Qualifications - Master degree in Nutrition Sciences, Food Sciences, or an equivalent field - Relevant experience in both professional practice and university teaching related to the course - Strong communication skills - Ability to teach effectively in an online environment - If the degree is in an equivalent field, the candidate must clearly explain in their résumé how their academic background connects to Nutrition or Food Sciences Requirements - Master degree in Nutrition Sciences, Food Sciences, or an equivalent field - Relevant experience in both professional practice and university teaching related to the course - Strong communication skills - Ability to teach effectively in an online environment Benefits - Competitive hourly rate - Opportunity to teach in a diverse and inclusive environment - Access to professional development resources Company Description 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. - 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. - 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.

Role Description Overview of current developments, issues and challenges in the emerging field of health informatics, with an emphasis on the role it plays in health care transformation initiatives. - Foundation of health informatics. - How data are acquired, turned into information and translated into knowledge. - How healthcare information systems are designed. - How different systems such as clinical decision support, electronic health records, and public health systems function. - Critical issues related to security, privacy, ethical and legal underpinnings. - Overview of information systems used in Canada and in Qatar. Qualifications - Must have an MBA/MHA or Master's degree (PhD preferred) in an area directly related to health informatics and technology management in a health care context. - Must demonstrate recent professional experience in the field. - Sound knowledge of the issues related to the area of the course. - Experience in development or delivery of online course content would be considered an asset. Requirements - Teaching method will be delivered online asynchronously. - Teaching method might incur changes due to health measures or other reasons. Benefits - Hourly Rate: $239.47 (2024-2025). - These rates do not include vacation pay nor statutory pay. - Rates will be applied until a new collective agreement is ratified; retro will be paid after the ratification.