Sessional Lecturer - Deep Learning - Fall 2026

ontariotechu • Oshawa, ON

1d • Hybrid

About The Position

Reporting to the Dean, Faculty of Engineering and Applied Science, the Sessional Lecturer will provide instruction to undergraduate students in ENGR 4170U, Deep Learning. This course provides an in-depth introduction to the fundamental concepts of deep learning and their applications in engineering. Topics include review of neural networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, and Reinforcement Learning. The course will also cover the latest techniques and tools for designing, implementing, training, testing, and evaluating the performance of deep learning models. In addition, the course will cover the ethical implications of deep learning techniques in engineering and society, as well as ways to avoid bias in deep learning models.

Requirements

• A PhD in Mechanical Engineering or Electrical or Computer Engineering, or equivalent.
• Documented experience in the topic areas covered by the course outline.
• Demonstrated strong potential for excellent teaching contributions.
• Aptitude for teaching at the University undergraduate level.
• A proven commitment to providing innovative and inclusive teaching strategies.
• Evidence of an ability to work in a collaborative environment.
• Excellent communication skills with an ability to maintain effective relationships with a range of faculty, staff and students.
• Demonstrated knowledge and experience with a Learning Management System such as Canvas.
• Demonstrated ability to deliver classes remotely, using online modalities such as Kaltura Media and Google Meets and/or Zoom.
• Proven experience managing undergraduate classes and diverse populations.
• Excellent organizational skills needed to effectively manage course delivery, the marking of assignments and exams and the ability to respond to student enquiries in a timely manner.
• Must certify that they are currently legally eligible to work in Canada for the duration of the contract.

Nice To Haves

• Demonstrated excellence in teaching undergraduate students in an Mechanical and Manufacturing Engineering program.
• Internal Applicant who has taught any course for the University in three (3) different sessions in the past thirty-six (36) months.

Responsibilities

• Prepare and teach a theoretically, methodologically sophisticated and relevant university course at the undergraduate level within the parameters of the course description.
• Deliver the course using a technology-enhanced learning approach that includes a variety of inclusive teaching and learning strategies and assessments, which may be delivered in a hybrid format.
• Prepare, deliver and grade all course material and assignments.
• Be available for consultation with students during and following completion of the course session.
• Describe learning objectives and outcomes in a course outline/syllabus.
• Provide timely marking of assessed assignments and marking rubric.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree