PT Prof (APTPUO) - DTI6402 A - Winter 2027

uOttawa | Carrières - Careers; Ottawa; On-site; CAD 272,000 - 388,000; Part time

Job summary

The University of Ottawa seeks a Regular Part-Time Professor for the course Affective and Persuasive Computing (DTI6304) at the Main Campus for the 2027 Winter Semester. The appointment is a 3-credit offering with teaching duties scheduled Friday 17:30-20:30.

Requirements include a PhD or in-progress PhD in relevant fields, strong background in affective computing, AI, ML and HCI, and experience with emotion recognition and multimodal data analysis.

Qualifications

• PhD or current PhD in Digital Transformation and Innovation, Electrical and Computer Engineering, Computer Science, or a related field.
• Strong background in affective computing, artificial intelligence, machine learning, and human–computer interaction.
• Experience developing emotion recognition and affect estimation algorithms using deep learning with multimodal data.

Education

PhD in related field (or currently completing)

Tools

Python

TensorFlow

PyTorch

Job description

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: Affective and Persuasive Computing

Course Code: DTI6304

Section: A

Course Description: Posting limited to: Professeur à temps-partiel régulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD): 2026/11/02

Applications must be received BEFORE (YYYY/MM/DD): 2026/12/03

Expected Enrolment: 50

Approval date: 2026/11/02

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: C

Posting type: Régulier / Regular

Language of instruction: Anglais | English

Competence in second language: Active

Course Schedule: Vendredi | Friday 17:30-20:30 - -

Requirements: The candidate should have a PhD or be currently completing a PhD in Digital Transformation and Innovation, Electrical and Computer Engineering, Computer Science, or a closely related field, with a strong background in affective computing, artificial intelligence, machine learning, and human‑computer interaction. The candidate should have demonstrated knowledge and experience in developing emotion recognition and affect estimation algorithms using deep learning techniques, including the processing and analysis of physiological signals, facial expressions, speech, text, and multimodal data. Experience with multimodal fusion, neural network architectures, and AI-based intelligent interactive systems is highly desirable. The candidate should also have knowledge of persuasive technology, persuasion design strategies, and their applications in serious games, virtual reality, and digital health. Familiarity with modern AI technologies, including large language models and multimodal AI systems, as well as proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch, would be considered an asset. Previous university‑level teaching experience and research contributions in affective computing, artificial intelligence, or related areas are highly desirable.

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 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 [e-mail] 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.

The University of Ottawa is the largest bilingual (English‑French) university in the world. Located at the heart of Canada’s capital, we have ready access to the great institutions of our country. Our advances in social sciences, health, engineering, science and the humanities make uOttawa a unique place to learn, grow and excel.

The University of Ottawa aspires to employing a staff that fully represents the diversity of Canada’s population. As a result, it is committed to employment equity principles and aims to provide an inclusive and barrier‑free workplace.

The University of Ottawa offers a generous pay and benefits package that includes a competitive salary, a defined benefit pension plan, group insurance coverage and an employee and family assistance program.