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About the Role
Seneca invites passionate educators 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.
Responsibilities
- Providing academic leadership in the classroom and ensuring an effective and engaging learning environment for students.
- Ensuring student awareness of course objectives, learning outcomes, and evaluation methods.
- Delivering scheduled instruction using applied and experiential teaching approaches.
- Facilitating hands-on learning activities and projects using current AI and NLP tools and technologies.
- Providing academic guidance and mentorship to support student success.
- Evaluating student progress and assuming responsibility for the overall assessment of student learning.
- Fostering an inclusive and collaborative learning environment that encourages innovation and critical thinking.
Requirements
- 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.
- 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.
Location
- Newnham Campus
- Daytime on-campus availability is preferred
Work Type
- Part-time
- Contracts typically up to 6 hours per week
Education Level
- 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
About the Company
- 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.
- Join us in shaping the next generation of AI professionals, machine learning specialists, and technology innovators.