Sessional Instructor - Master of Computer Science in Applied AI

Sessional Instructor - Master of Computer Science in Applied AI

Faculty Niagara Falls, ON, CA

30+ days ago Requisition

Innovation Flows Here.
Officially opening its doors in 2024, the University of Niagara Falls Canada (UNF) is an innovative and digitally oriented institution that prepares graduates for leadership in the digital world. We believe in delivering programs that provide a direct pathway to meaningful careers in high-demand industries. UNF is part of the Global University Systems Canada group of institutions and Global University Systems, an international network of higher education institutions.

Our campus is located in historic downtown Niagara Falls. Beyond being Canada’s #1 travel destination, Niagara Falls is a small vibrant city that offers up a slice of metropolitan living at a different pace. From world-class dining and entertainment options to luxury shopping and cultural experiences. Our location offers the amenities of a large urban center within a comfortable, liveable community.

The Master of Computer Science in Applied Artificial Intelligence (MCS – AAI) prepares students for careers in AI, machine learning, and data-driven innovation. The program provides advanced knowledge in machine learning, neural networks, large language models, computational linguistics, data analytics, pattern recognition, and image processing, while emphasizing ethical AI, collaboration, problem-solving, and real-world application across a range of industries. Faculty members have the opportunity to work closely with graduate students, industry partners, and research collaborators to advance innovation in artificial intelligence while preparing the next generation of AI professionals and leaders.

The Master of Computer Science in Applied Artificial Intelligence invites applications for sessional instructor positions available for the Fall [October] academic term.

Per course rate: $7,200 (paid in installments)
Academic Term:
Fall 2026 (September 28 – December 13)
Mode of Delivery:This is a hybrid role. Sessional instructors are required to teach on
-site for a minimum of 2 days per week, though this will depend on their teaching schedule.

• Machine Learning and Deep Learning
• Generative Artificial Intelligence and Large Language Models (LLMs)
• Natural Language Processing
• Computer Vision
• AI Engineering and MLOps
• Explainable and Responsible AI
• Agentic AI Systems and Autonomous Agents
• AI for Cybersecurity
• Cloud-Based AI Solutions
• Data Science and Predictive Analytics
• Edge AI and Internet of Things (IoT)
• Robotics and Intelligent Systems
• Human-AI Interaction

• Lecturing & Teaching:
  Deliver engaging lectures and instructional content across multiple delivery modes (in-person, online, or hybrid) to create an inclusive, dynamic learning environment.
• Course Materials:
  Prepare, update, and maintain course materials, including assignments, quizzes, and exams. Ensure materials are accessible and relevant to students’ learning.
• Student Engagement:
  Offer regular office hours to meet with students, address inquiries, and provide academic support.
• Assessment & Grading:
  Design and grade assignments, tests, and exams in a timely and consistent manner. Provide meaningful feedback to students on their progress.
• Curriculum Development:
  Collaborate on curriculum development to ensure course content is aligned with industry standards and trends.
• Technology Integration:
  Use internal software to manage grades, track progress, and update students on course material.

• PhD in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a closely related field.
• Prior teaching experience at the post-secondary level is considered an asset
• Knowledge of modern AI frameworks and platforms, including Tensor Flow, PyTorch, Hugging Face, Lang Chain, cloud AI services, and MLOps tools, is preferred.
• Experience deploying AI solutions in real-world environments, is preferred.

• Student-Centric Approach:
  Ability to create an inclusive learning environment that promotes student success and engagement.
• Effective…