Professor, Part-Time

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

Are you passionate about advancing the future of artificial intelligence and helping students develop expertise in one of the fastest-growing areas of technology? Seneca invites you to join a dynamic faculty dedicated to delivering education beyond the classroom, preparing students to create innovative AI solutions that address real-world challenges.

As a part-time professor, you will contribute to experiential learning, bring leading-edge industry and research expertise into the classroom, and inspire students through applied learning and project-based instruction. Join us in shaping the next generation of AI professionals, machine learning specialists, and technology innovators.

Here is What's on Your Horizon

Faculty/School:School of Software Design & Data Science
Courses/Programs:MAI203 – Natural Language Processing, SEA820 – Natural Language Processing
Campus: Newnham

We welcome applications for part-time professors (Winter term). Course assignments are based on scheduling needs, with contracts typically up to 6 hours per week. Daytime on-campus availability is preferred.

Responsible for providing academic leadership in the classroom and ensuring an effective and engaging learning environment for students. You will…

• Ensure student awareness of course objectives, learning outcomes, and evaluation methods.
• Deliver scheduled instruction using applied and experiential teaching approaches.
• Facilitate hands-on learning activities and projects using current AI and NLP tools and technologies.
• Provide academic guidance and mentorship to support student success.
• Evaluate student progress and assume responsibility for the overall assessment of student learning.
• Foster an inclusive and collaborative learning environment that encourages innovation and critical thinking.

What You Bring to Seneca

Education

• Master' degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a closely related discipline.
• PhD in a closely related field preferred. 
• Professional Engineer (P.Eng.) designation is considered a strong asset, particularly for candidates with experience applying AI in engineering or technology environments.

Experience

• Industry experience applying Natural Language Processing (NLP), Large Language Models (LLMs), generative AI, or machine learning to real-world software, business, research, or data applications.
• Experience developing, fine-tuning, evaluating, or deploying NLP and AI solutions.
• Demonstrated post-secondary teaching experience in Natural Language Processing, machine learning, deep learning, artificial intelligence, or related subject areas is preferred.
• Experience incorporating current industry tools, frameworks, and best practices into teaching and learning activities.

Skills

• Demonstrated expertise in Natural Language Processing, text mining, and machine learning.
• Experience with modern natural language processing and large language model technologies, including transformer-based architectures.
• Familiarity with modern NLP and generative AI techniques, including BERT, GPT, LLMs, transfer learning, and model fine-tuning.
• Experience applying NLP to text classification, chatbots, conversational AI, information retrieval, and other language-based applications.
• Proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
• Experience with model evaluation, performance optimization, and hyperparameter tuning.
• Knowledge of prompt engineering and practical applications of generative AI technologies.
• Understanding of ethical and responsible AI considerations, including bias, fairness, privacy, transparency, and governance.
• Strong communication, collaboration, analytical, and problem-solving skills.
• Commitment to equity, diversity, inclusion, accessibility, and student success.