Professor, Part-Time

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

Are you passionate about helping students develop the mathematical foundations required to succeed in computer science and software development? Seneca invites you to join a dynamic faculty committed to delivering education beyond the classroom, preparing students with the analytical, logical, and problem-solving skills required in today's technology-driven world.

As a part-time professor, you will contribute to experiential learning, connect mathematical theory to real-world computing applications, and inspire students to develop the critical thinking skills needed for careers in software development, data science, cybersecurity, and emerging technologies.

Here is What's on Your Horizon

Faculty/School: School of Software Design & Data Science
Courses/Programs:MTH230 – Discrete Mathematics and Logic,MTH140 – Mathematics for Programmers
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 engaging and applied teaching approaches.
• Develop learning experiences that connect mathematical theory to practical computing applications.
• Provide academic guidance, mentorship, and support to foster student success.
• Evaluate student progress and assume responsibility for the overall assessment of student learning.
• Foster an inclusive, collaborative, and student-centered learning environment. 

What You Bring to Seneca

Education

• Master's degree in Mathematics, Computer Science, Computer Engineering, Software Engineering, or a closely related discipline required.
• Demonstrated teaching experience in discrete mathematics, discrete structures, mathematical foundations of computing, or related subject areas is preferred.

Experience

• Postsecondary teaching experience in discrete mathematics, mathematical foundations of computing, computer science, or related subject areas is preferred.
• Industry and/or applied experience in mathematics, computer science, software development, algorithms, cryptography, data structures, computational theory, or mathematical modelling is considered an asset.
• Demonstrated ability to connect theoretical concepts with practical computing applications and real-world problem solving.

Skills

• Strong knowledge of discrete mathematics and the mathematical foundations of computing.
• Proficiency in propositional and predicate logic, mathematical proofs, sets, functions, and relations.
• Knowledge of number theory, modular arithmetic, Boolean algebra, and logic circuits.
• Proficiency in combinatorics and probability, including counting techniques, permutations, combinations, and the Pigeonhole Principle.
• Knowledge of graph theory, including graph models, connectivity, paths, and isomorphism.
• Ability to apply mathematical reasoning to algorithms, programming, optimization, data structures, and computational problems.
• Ability to translate real-world problems into mathematical models and apply discrete structures to computing applications.
• Ability to teach mathematical concepts through applied examples, problem-solving activities, and experiential learning approaches.
• Strong communication, collaboration, analytical, and problem-solving skills.
• Commitment to equity, diversity, inclusion, accessibility, and student success.