Professor, Part-Time

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.

Faculty/School:
School of Software Design & Data Science

Courses/Programs: MAI
203 - Natural Language Processing, SEA
820 - 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.

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, Tensor Flow, 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.