Sessional Lecturer - MIE1628 - Cloud-Based Data Analytics at University of Toronto

📍 Job Overview

Job Title: Sessional Lecturer - MIE1628 - Cloud-Based Data Analytics
Company: University of Toronto
Location: Toronto, Ontario, Canada
Job Type: Part-Time, Sessional
Category: Teaching & Instruction
Date Posted: June 17, 2025
Experience Level: 2-5 years of teaching experience
Remote Status: On-site

🚀 Role Summary

The Sessional Lecturer will deliver lectures and prepare course materials for the MIE1628 - Cloud-Based Data Analytics course. They will supervise Teaching Assistants and evaluate student performance through tests and exams. The ideal candidate will have a strong record of teaching experience and considerable knowledge in Cloud-Based Data Analytics, along with excellent communication skills.

💻 Primary Responsibilities

Course Preparation: Develop and prepare course materials, including lecture slides, assignments, and assessments.
Lecture Delivery: Deliver engaging and informative lectures on Cloud-Based Data Analytics topics, such as Big Data fundamentals, Hadoop MapReduce, Spark, and Cloud platforms like Microsoft Azure, Amazon Web Services, or Google Cloud Platform.
Student Supervision: Supervise Teaching Assistants, providing guidance and support for their teaching and grading responsibilities.
Student Evaluation: Evaluate student performance through tests, assignments, and exams, ensuring fairness and accuracy in grading.
Student Contact: Maintain regular contact with students, providing support and answering questions throughout the course.

📝 Enhancement Note: The Sessional Lecturer will be expected to create a welcoming and inclusive learning environment that caters to the diverse needs of students.

🎓 Skills & Qualifications

Education: A Ph.D. or Master's degree in a relevant field, such as Computer Science, Data Science, or a related discipline, is preferred. Candidates nearing completion of their degree may also be considered.

Experience: Applicants should have a strong record of presenting lectures or acting as a teaching assistant. Applicants must be able to demonstrate considerable depth of knowledge and experience in the subject area. All applicants should have excellent communication skills - both oral and written. Professional Engineer (P.Eng.) or Limited License (LEL) is strongly preferred. Engineering Intern (EIT) is also acceptable.

Required Skills:

Proven experience in teaching or acting as a teaching assistant at the university level
In-depth knowledge of Cloud-Based Data Analytics, Big Data, and relevant technologies
Excellent communication and presentation skills
Strong organizational skills and attention to detail
Ability to work independently and manage time effectively

Preferred Skills:

Experience teaching Cloud-Based Data Analytics or related courses
Familiarity with the University of Toronto's teaching platforms and tools
Experience mentoring or supervising Teaching Assistants
Ability to incorporate diverse perspectives and inclusive teaching practices

📊 Web Portfolio & Project Requirements (Not Applicable)

This role does not require a web portfolio or project requirements, as it is focused on teaching and instruction.

💵 Compensation & Benefits

Salary Range: The salary for this position is CAD $30,000 for 2 sessions (per half course inclusive of vacation pay). Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Benefits: Benefits information is not provided in the job posting. However, as a Sessional Lecturer at the University of Toronto, you may be eligible for benefits such as health insurance, pension plans, and access to various university facilities and services. For more information, please visit the University of Toronto's Human Resources website.

Working Hours: The working hours for this position are flexible and will be determined based on the course schedule. The Sessional Lecturer is expected to be available for lectures, office hours, and other course-related activities as needed.

📝 Enhancement Note: The salary range provided is an estimate based on the information given in the job posting. The actual salary may vary based on the collective agreement and the specific terms of the appointment.

🎯 Team & Company Context

🏢 Company Culture

Industry: The University of Toronto is a research-intensive university located in Toronto, Ontario, Canada. It is dedicated to fostering an inclusive and diverse learning environment that supports the success of its students and faculty.

Company Size: The University of Toronto is one of the world's top research universities, with a student population of over 90,000 and a faculty and staff complement of over 20,000. As a Sessional Lecturer, you will be part of a large and diverse academic community.

Founded: The University of Toronto was founded in 1827 and has since grown to become one of the oldest and most prestigious universities in North America.

Team Structure: The Department of Mechanical & Industrial Engineering at the University of Toronto is home to over 100 faculty members, 1,500 undergraduate students, and 1,200 graduate students. As a Sessional Lecturer, you will be part of this dynamic and collaborative team, working alongside fellow faculty members, Teaching Assistants, and support staff.

Development Methodology: The University of Toronto uses a student-centered approach to teaching and learning, with a focus on fostering critical thinking, creativity, and innovation. As a Sessional Lecturer, you will be expected to create engaging and interactive learning experiences that cater to the diverse needs of your students.

Company Website: University of Toronto

📝 Enhancement Note: The University of Toronto is committed to fostering an inclusive and accessible learning environment. As a Sessional Lecturer, you will be expected to create a welcoming and inclusive classroom that supports the success of all students.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a Sessional Lecturer position, which is typically an entry-level or mid-level teaching role. It provides an opportunity to gain teaching experience and develop your skills as an educator.

Reporting Structure: The Sessional Lecturer will report directly to the Associate Chair, Graduate Studies of the Department of Mechanical and Industrial Engineering. They will work closely with the course coordinator and other faculty members to ensure the smooth delivery of the course.

Technical Impact: As a Sessional Lecturer, you will have a direct impact on the learning and success of your students. You will be responsible for delivering engaging and informative lectures, creating meaningful assessments, and providing constructive feedback to support student growth and development.

Growth Opportunities:

Teaching Development: As a Sessional Lecturer, you will have the opportunity to develop your teaching skills and gain experience in course design and delivery. You may also have the opportunity to teach additional courses or take on leadership roles within the department.
Research Opportunities: Depending on your interests and qualifications, you may have the opportunity to engage in research activities, such as collaborating with faculty members on research projects or pursuing your own research interests.
Mentorship Opportunities: As a Sessional Lecteller, you will have the opportunity to mentor and support Teaching Assistants, helping them develop their teaching skills and gain experience in course delivery.

📝 Enhancement Note: The University of Toronto offers a range of professional development opportunities for faculty members, including teaching workshops, mentorship programs, and research funding. As a Sessional Lecturer, you will have access to these resources and support to help you grow and develop as an educator.

🌐 Work Environment

Office Type: The University of Toronto's St. George campus is a bustling and vibrant urban campus located in downtown Toronto. As a Sessional Lecturer, you will be based at the Department of Mechanical & Industrial Engineering, which is housed in the historic Bahen Centre for Information Technology.

Office Location(s): The Department of Mechanical & Industrial Engineering is located at 44 St. George Street, Toronto, Ontario, M5S 2E4, Canada. As a Sessional Lecturer, you will be expected to be available for lectures, office hours, and other course-related activities at this location.

Workspace Context:

Collaborative Environment: The Department of Mechanical & Industrial Engineering is a collaborative and supportive work environment, with a strong emphasis on teamwork and interdisciplinary research. As a Sessional Lecturer, you will be part of this collaborative community, working alongside fellow faculty members, Teaching Assistants, and support staff.
Teaching Resources: The Department of Mechanical & Industrial Engineering provides access to a range of teaching resources, including lecture halls, classrooms, and multimedia equipment. As a Sessional Lecturer, you will have access to these resources to support the delivery of your course.
Student Support: The University of Toronto offers a range of student support services, including academic advising, career counseling, and mental health resources. As a Sessional Lecturer, you will be expected to be familiar with these resources and to provide support and guidance to your students as needed.

Work Schedule: The work schedule for this position will be determined based on the course schedule. As a Sessional Lecturer, you will be expected to be available for lectures, office hours, and other course-related activities as needed. The course schedule and teaching load will be determined by the Department of Mechanical & Industrial Engineering.

📝 Enhancement Note: The University of Toronto is committed to fostering a healthy and supportive work environment for its faculty and staff. As a Sessional Lecturer, you will have access to a range of resources and support services to help you succeed in your role.

📄 Application & Technical Interview Process

Interview Process:

Application Review: The Department of Mechanical & Industrial Engineering will review all applications submitted by the closing date. Applicants who meet the minimum qualifications will be invited to proceed to the next stage of the selection process.
Teaching Demonstration: Shortlisted candidates will be asked to deliver a brief teaching demonstration, typically lasting 15-20 minutes, on a topic related to Cloud-Based Data Analytics. This demonstration will be evaluated by a panel of faculty members and may be observed by students.
Interview: Following the teaching demonstration, shortlisted candidates will participate in an interview with the hiring committee. The interview will focus on the candidate's teaching philosophy, experience, and fit with the department's goals and objectives.
Reference Checks: The final stage of the selection process will involve checking the references provided by the candidate. These references should be able to speak to the candidate's teaching experience, skills, and potential to succeed in the role.

Portfolio Review Tips: (Not Applicable)

Technical Challenge Preparation: (Not Applicable)

ATS Keywords: (Not Applicable)

📝 Enhancement Note: The selection process for this role is designed to assess the candidate's teaching skills, knowledge of the subject matter, and fit with the department's goals and objectives. As a Sessional Lecturer, you will be expected to create engaging and interactive learning experiences that cater to the diverse needs of your students.

🛠 Technology Stack & Web Infrastructure

Technology Stack: (Not Applicable)

Web Infrastructure: (Not Applicable)

📝 Enhancement Note: As a Sessional Lecturer, you will be expected to use the University of Toronto's learning management system, Quercus, to deliver your course. Quercus provides a range of tools and resources to support teaching and learning, including course creation and management, assessment and grading, and communication with students.

👥 Team Culture & Values

Team Culture: The Department of Mechanical & Industrial Engineering at the University of Toronto is a dynamic and collaborative team, with a strong emphasis on interdisciplinary research and teaching. As a Sessional Lecturer, you will be part of this team, working alongside fellow faculty members, Teaching Assistants, and support staff.

Team Values:

Excellence: The Department of Mechanical & Industrial Engineering is committed to fostering a culture of excellence in teaching, research, and service. As a Sessional Lecturer, you will be expected to strive for excellence in your teaching and to contribute to the department's research and service goals.
Collaboration: The Department of Mechanical & Industrial Engineering values collaboration and teamwork, both within the department and with other units and faculties across the University of Toronto. As a Sessional Lecturer, you will be expected to work collaboratively with your colleagues to support the success of your students and the department's goals.
Inclusion: The University of Toronto is committed to fostering an inclusive and accessible learning environment. As a Sessional Lecturer, you will be expected to create a welcoming and inclusive classroom that supports the success of all students.

📝 Enhancement Note: The University of Toronto's Statement on Equity, Diversity, and Inclusion outlines the university's commitment to fostering an inclusive and accessible learning environment. As a Sessional Lecturer, you will be expected to uphold the values and principles outlined in this statement.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Course Preparation: As a Sessional Lecturer, you will be responsible for preparing and delivering a course on Cloud-Based Data Analytics. This may involve creating new lecture materials, assessments, and other course resources.
Student Engagement: As a Sessional Lecturer, you will be expected to engage and motivate your students, creating an inclusive and interactive learning environment that caters to their diverse needs and learning styles.
Assessment and Evaluation: As a Sessional Lecturer, you will be responsible for assessing and evaluating student performance through tests, assignments, and exams. This may involve creating new assessment tools and strategies to ensure fairness and accuracy in grading.

Learning & Development Opportunities:

Teaching Development: As a Sessional Lecturer, you will have the opportunity to develop your teaching skills and gain experience in course design and delivery. You may also have the opportunity to take on leadership roles within the department, such as serving on a committee or mentoring other Sessional Lecturers.
Research Opportunities: Depending on your interests and qualifications, you may have the opportunity to engage in research activities, such as collaborating with faculty members on research projects or pursuing your own research interests.
Professional Development: The University of Toronto offers a range of professional development opportunities for faculty members, including teaching workshops, mentorship programs, and research funding. As a Sessional Lecturer, you will have access to these resources and support to help you grow and develop as an educator.

📝 Enhancement Note: The University of Toronto is committed to supporting the professional development of its faculty members. As a Sessional Lecturer, you will have access to a range of resources and support services to help you succeed in your role and advance your career.

💡 Interview Preparation

Interview Preparation Tips:

Teaching Demonstration: Prepare a brief teaching demonstration on a topic related to Cloud-Based Data Analytics. This demonstration should showcase your knowledge of the subject matter, your ability to engage and motivate students, and your teaching style and approach.
Interview Questions: Prepare for interview questions that may focus on your teaching philosophy, experience, and fit with the department's goals and objectives. Be ready to discuss your approach to teaching, assessment, and student engagement.
Portfolio Preparation: While not required for this role, having a teaching portfolio that showcases your teaching experience, skills, and accomplishments can be helpful in demonstrating your qualifications and fit for the role.

Company & Culture Questions: (Not Applicable)

📝 Enhancement Note: The interview process for this role is designed to assess the candidate's teaching skills, knowledge of the subject matter, and fit with the department's goals and objectives. As a Sessional Lecturer, you will be expected to create engaging and interactive learning experiences that cater to the diverse needs of your students.

📌 Application Steps

To apply for this Sessional Lecturer position, follow these steps:

Prepare Your Application Package: Prepare a Unit 3 Sessional Instructor Application Form, Resume, and Teaching Dossier merged into a single PDF file. Ensure that your application package is complete and tailored to the role and the University of Toronto's teaching philosophy.
Submit Your Application: Submit your application package to the MIE Graduate Office via email to [email protected] by the closing date of July 10, 2025, at 11:59 PM (Eastern Time). Ensure that your email subject line includes the job title and your full name.
Follow Up: After submitting your application, follow up with the MIE Graduate Office to confirm receipt of your application package. If you have any questions or concerns about the application process, do not hesitate to contact the MIE Graduate Office for assistance.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Sessional Lecturer - MIE1628 - Cloud-Based Data Analytics