Sessional Lecturer -GLA2090HS- Real-Time Data and AI for Global Intelligence 1

University of Toronto - Woodsworth College; London; On-site; GBP 5,000 - 6,000; Part time

Job summary

An educational institution in Toronto is seeking a Sessional Lecturer to teach the course 'Real-Time Data and AI for Global Intelligence'. The role involves syllabus development, delivering lectures, and providing academic support to students. A graduate degree in International Relations is required, along with teaching experience preferred. The role is for the 2026 Spring term and offers a competitive salary based on the lecturer's rank.

Qualifications

• Graduate degree in International Relations is required.
• Previous experience teaching in the area is preferred.

Responsibilities

• Developing the syllabus.
• Teaching one 2-hour lecture per week at the graduate level.
• Providing weekly office hours for academic counseling of students.
• Preparing and delivering course material; creating assignments and tests; marking student work and submitting grades.

Education

Graduate degree in International Relations

Job description

Overview

Sessional Lecturer - GLA2090HS - Real-Time Data and AI for Global Intelligence

Date Posted: 09/05/2025 • Req ID: 44840 • Faculty/Division: Faculty of Arts & Science • Department: Munk Sch Global Affairs & Public Policy • Campus: St. George (Downtown Toronto)

Description

Course number and title: GLA2090HS Real-Time Data and AI for Global Intelligence

Course Description

This graduate seminar explores the potential of new digital datasets and advances in artificial intelligence for understanding critical global challenges.

Traditional data are our information anchors but have downsides: they lag reality, can be scarce, withheld, undermined, or manipulated, or don’t capture complex modern economies and societies. By contrast, each day, scanners, smartphones, and online platforms capture text, images, location, payments, searches, and other real-time, detailed data. This data explosion, combined with increased computing power, is fueling major advances in AI.

This course explores how leaders can use the abundant, real-time, and multi-dimensional digital data now available, in combination with new advances in AI, to spot and respond to problems as they emerge. For example, more readily available satellite images can enable leaders to monitor changes in poverty or climate change more accurately and in near real-time. New AI tools trained on massive text and image datasets can locate previously unknown critical minerals, track sanctions evasion, or better identify disease risks at scale globally. General-purpose AI tools can now collect and categorize billions of data points across multiple indicators and languages to produce detailed inflation or trade metrics.

The course is not technical; the goal is to expose students to these developments and their implications for global affairs intelligence. Through guest speakers, discussions, and assignments, students will learn about and experiment with non-traditional data and evolving AI tools to better understand world events or challenges. These activities will also require students to confront the challenges and risks these developments present. Since this topic is dynamic, there may also be opportunities to explore emerging AI developments and what they mean for global affairs intelligence and for global affairs more generally.

Estimated course enrolment: 25

Estimated TA support: N/A

Class schedule: Friday Noon-2pm

Sessional dates of appointment: January 1, 2026 - April 30, 2026

Salary

Sessional Lecturer I - $9,820.70

Sessional Lecturer I – Long Term -$10,510.04

Sessional Lecturer II - $10,510.04

Sessional Lecturer II – Long Term - $10,760.28

Sessional Lecturer III - $10,760.28

Sessional Lecturer III – Long Term - $11,030.36

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.

Minimum Qualifications

Minimum Qualifications: Graduate degree in International Relations.

Preferred Qualifications

Preferred Qualifications: Previous experience teaching in the area is preferred.

Description of duties

• Developing the syllabus
• Teaching one 2-hour lecture per week at the graduate level
• Providing weekly office hours for academic counseling of students
• Preparing and delivering course material; creating assignments and tests; marking student work and submitting grades

Application Procedure

All individuals interested in this position must submit an updated Curriculum Vitae and the CUPE 3902 Unit 3 application form to [e-mail].

Closing Date

09/30/2025, 11:59PM EDT

Notes: This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement. Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 agreement and should not apply for Unit 3 postings.

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). If you require any accommodations at any point during the application and hiring process, please contact [e-mail].

Job Segment: Database, Public Policy, Defense, Technology, Government, Legal