Professor, Part-Time

Do you believe in the power of education to transform lives and communities?

Are you passionate about shaping career‑ready, world‑ready graduates? Seneca invites you to join a dynamic faculty committed to delivering education beyond the classroom—equipping students with the skills needed to thrive in today’s evolving digital economy.

As a part‑time professor, you will contribute to experiential learning, collaborate with industry, and bring real‑world insight into the classroom while demonstrating teaching excellence and academic leadership. Join us in empowering the next generation of innovators, thinkers, and change‑makers.

Faculty/School: School of Computer Programming & Analysis

Courses/Programs: BTE
620, DPS
970, ISL
301

Campus: Newnham

We welcome applications for part‑time professors (Fall term). Course assignments are based on scheduling needs, with contracts typically up to 6 hours per week. Day time on‑campus availability is preferred. Responsible for providing academic leadership in the classroom and ensuring an effective and compelling learning environment for students. You will…

• Ensure student awareness of course objectives, approach and evaluation techniques.
• Carry out regularly scheduled instruction, which may include tutoring and academic counselling of students.
• Provide a learning environment that makes effective use of available resources, work experience and field trips.
• Evaluate student progress/achievement and assume responsibility for the overall assessment of the student's work within assigned course.

• Law, Ethics and Social Responsibility in Software Development (BTE
  620)
  Covers legal, ethical, and societal impacts of technology, including AI governance, privacy, and cybersecurity.
• AI for Software Developers (DPS
  970)
  Focuses on foundational and applied AI concepts such as intelligent systems, algorithms, and real‑world applications.
• Building Inclusive Solutions (ISL
  301)
  Emphasizes inclusive design, accessibility, and human‑centered approaches to technology development.

Education

• Bachelor’s degree in a relevant discipline (e.g., Computer Science, Artificial Intelligence, Human‑Computer Interaction, Software Engineering); a Master’s degree or PhD is preferred.

Experience

• Post‑secondary teaching and/or strong industry experience
• Background in AI, software development, or inclusive technology
• Ability to connect theory with real‑world application
• Experience with applied learning and case‑based instruction

Skills

• Strong analytical, problem‑solving, and communication skills
• Commitment to equity, diversity, inclusion, and accessibility
• Collaboration and teamwork
• Ethics & Law: AI governance, privacy, cybersecurity, and digital policy
• AI:
  Algorithms, intelligent systems, knowledge representation, applied AI
• Inclusive Solutions:
  Accessibility, UX/UI, human‑centered and DEIA‑informed design