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Seneca
Professor, Part-TimeSeneca • Toronto, Ontario
Professor, Part-Time

Professor, Part-Time

Seneca • Toronto, Ontario
4 days ago
Job type
  • Part-time
Job description

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.

Here is What’s on Your Horizon


Faculty/School: School of Computer Programming & Analysis
Courses/Programs: BTE620, DPS970, ISL301 For Computer Programming Courses
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 assuming responsibility for the overall assessment of the student's work within assigned course

Courses

What You Bring to Seneca


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
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Professor, Part-Time • Toronto, Ontario

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