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Professor, Part-Time

  • Toronto, ON, Canada
  • North York, ON, Canada

Pay Range PT&S1 Min. rate is $85.46/hr incl. vacation, preparation & evaluation · Part-time

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Job details

Pay
Pay Range PT&S1 Min. rate is $85.46/hr incl. vacation, preparation & evaluation
Job type
Part-time
Apply by
Posting language
English
Posted

Original job description

Join the Renewed Seneca, The Next Seneca.

At Seneca Polytechnic, we offer a flexible working environment that supports innovative thinking and encourages exploring new ideas and approaches. As we adapt to an ever-changing landscape, we continue to promote opportunities for career growth and development. We focus on health and well-being in all ways to provide great employee experience.

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.


Job Details

External Posting Date October 6th, 2026

External Closing Date Until Filled

Job Type Temporary, Part-Time

Hours TBC

Work Type Flex Delivery in-person, online, hybrid and flexible

Shift TBC

Ideal Start Date Winter Term

End Date

Number of Openings 1

Posting Intent Immediate Need

Pay Range PT&S1 Min. rate is $85.46/hr incl. vacation, preparation & evaluation

Job Category Faculty

Pre‑Employment Verification Process Administrative and Support Positions For Administrative and Support roles, Seneca conducts standard pre‑employment verification after a conditional offer of employment is made. Faculty & Teaching Positions For professor positions, we require copies of official transcripts directly from the issuing institution or credential evaluation from World Education Services (WES) or International Credential Assessment Service (ICAS). However, we recommend that candidates gather any supporting documentation (e.g., unofficial transcripts, scan of credentials) in advance to support their applications in the event that they are successful in the hiring process. The compensation step will be determined based on receiving and verifying relevant formal education through official transcripts and relevant work experience, in accordance with the salary placement calculation process.

Seneca Polytechnic at a Glance

Seneca is Canada’s leading, and Ontario's first, polytechnic with more than 40,000 full-time students and 18,500 part-time students. Since opening our doors for the first time more than 55 years ago, we remain dedicated to getting our students career and world-ready.

None of this happens without the exceptional employees of Seneca – the faculty, support staff and administrators – who show their commitment to our students and their success every day. The student experience. The employee experience. The community experience. The Seneca experience is a differentiator.

Our Commitment

We are proud to be building the equitable Seneca, and welcome applications from candidates who can contribute to the diversity of lived experiences, perspectives, and approaches. Joining Seneca means being part of an inclusive community working hard to dismantle barriers to access, student success, and employee potential. Learn more about how we are building an equitable Seneca

Accessibility

Seneca is committed to making employment opportunities accessible in accordance with the Accessibility for Ontarians with Disabilities Act, 2005. Upon request, accommodation will be provided in all parts of the application and hiring process. If you require accommodation, please contact jobs@senecapolytechnic.ca.
More about this job

Responsibilities

Deliver applied, experiential instruction in natural language processing and AI, including hands-on projects using current tools and technologies. Guide and mentor students, assess their learning, and foster an inclusive environment that supports innovation and critical thinking.

Requirements

A master’s degree in computer science, software engineering, artificial intelligence, data science, or a closely related field is required; a related PhD is preferred, and a P.Eng. designation is an asset. Candidates should have practical NLP or AI experience, proficiency with Python and relevant machine-learning frameworks, and preferably post-secondary teaching experience in NLP, machine learning, or related subjects.

Skills

  • Natural Language Processing
  • Text Mining
  • Machine Learning
  • Large Language Models
  • Generative AI
  • Transformer Architectures
  • Python
  • PyTorch
  • TensorFlow
  • Hugging Face Transformers
  • Model Evaluation
  • Hyperparameter Tuning
  • Prompt Engineering
  • Responsible AI
  • Experiential Teaching
  • Student Mentorship

Visa sponsorship

Not detected in the job text

Categories

  • Education
  • Technology
  • Software
  • Data & Analytics
  • Science & Research

Keywords

  • Natural Language Processing
  • Text Mining
  • Machine Learning
  • Artificial Intelligence
  • Large Language Models
  • Generative AI
  • BERT
  • GPT
  • Transformer Architectures
  • Transfer Learning
  • Model Fine-Tuning
  • Text Classification
  • Chatbots
  • Conversational AI
  • Information Retrieval
  • Python
  • PyTorch
  • TensorFlow
  • Hugging Face Transformers
  • Model Evaluation
  • Performance Optimization
  • Hyperparameter Tuning
  • Prompt Engineering
  • Responsible AI
  • Bias and Fairness
  • Privacy
  • Transparency
  • AI Governance
  • Experiential Learning
  • Project-Based Instruction

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