The Vector Institute will drive excellence and leadership in Canada’s knowledge, creation, and use of artificial intelligence (AI) to foster economic growth and improve the lives of Canadians.

Vector strives to attract the best global talent focused on research excellence in deep learning and machine learning. Our researchers and academic partners are part of a vibrant community of innovative problem-solvers, working across disciplines on both curiosity-driven and applied research.


Vector is a leader in the transformative field of artificial intelligence, excelling in machine and deep learning — an area of scientific, academic, and commercial endeavour that will shape our world over the next generation. We are building on a well-established and respected foundation of globally recognized talent and learning that exists today in Toronto, Ontario and Canada more broadly.



Vector researchers maintain a strong academic presence at major machine learning and deep learning conferences such as: the conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Learning Representations (ICLR), Neural Information Processing Systems (NIPS) and many others.


Vector researchers participate in a variety of public talks and seminars that cover topics related to the theorical and applicable uses of deep learning and machine learning.

Upcoming Talks


Our researchers are at the leading edge of deep learning and machine learning in a diverse set of areas, including neural networks, probabilistic models, statistical theory, computational biology, computer vision and natural language processing.

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Blog & News

For media inquiries, please contact media@vectorinstitute.ai



Note for Vector Research Talks please check your email for status updates. For Fields Talks, please check for updates.

If you have questions about an upcoming event, please contact events@vectorinstitute.ai.


Innovating through COVID-19 Webinar Series – Open to public

Canada’s innovation ecosystem leapt up to find ways to be helpful in the wake of the COVID-19 pandemic, yet, critical questions remain unanswered. In response, the Vector Institute is launching the “Innovating Through COVID-19” webinar series to dive deeper on topical issues with leading researchers and innovators.

COVI: Empowering citizens against Covid-19 with an AI-enabled, decentralized contact tracing and risk awareness app
Thursday, May 28, 2020 10:00 am – 11:00 am EST

Learn more


Endless Summer school — Sponsor Only

We have modified our topics for the upcoming ESS sessions to bring you news about Vector’s research response to the COVID-19 pandemic. Details will be updated on the Eventbrite registration page as they are confirmed.


Topic: Vector Endless Summer School: Combining Technology and Governance For Privacy Protection

Data privacy is a function of several approaches working in tandem. Today’s discussion will cover the combination of technology and governance solutions to data privacy, particularly in light of COVID-19 initiatives that rely on personal data. We will feature speakers from Vector’s Research and Innovation teams as well as Pam Snively, Chief Data and Trust Officer at Telus, who will discuss their “Data for Good” initiative.

June 10 | 9:30 – 11:30 a.m. | webinar

Click here to register


Topic: Data Set Shift

July 15 – webinar
Click here to register


Vector Insights (Formerly AI For Executives) — Sponsors Only

Putting your Data to Work in Unprecedented Times

May 21, 10:00 – 12:00 p.m. | Webinar
Click here to register
The current COVID-19 pandemic is an unprecedented time for organizations to navigate. Older data may not be effective at powering your decision making models in this anomalous time. Will models based on historical data be useful for future insights? There may be spikes or drop-offs in current data, if the data are even available. What can be done to address the current data challenge so organizations can move forward responsibly, and with confidence? This business-focused session is for industry agnostic leaders looking for approaches and techniques to effectively leverage data in an environment as unique as this one. We will look at effective reporting and analytics when there are significant data anomalies and we will explore techniques used to find insights and opportunities in data.


How to Close the AI Skills Gap

Oct 22, 8:30am – 2pm Venue: TBD
Click here to register
This session is geared to Vector Industry sponsors looking to grow their AI capacity through recruitment and training. Shingai Manjengwa, Technical Education Specialist at Vector Institute and recipient of the Emerging Leader Award from the Public Policy Forum, will be describing the work that led to that award, as well as hosting a panel to discuss what it takes to create pathways to careers in AI.



Vector will build on Canada’s outstanding pool of globally recognized AI expertise by training, attracting and retaining more top researchers who want to lead the world in machine learning and deep learning research, while having the flexibility to work on commercial applications with companies or in their own startups.

We are located at the MaRS Discovery District in downtown Toronto, part of a dynamic and vibrant community of research, academia, health science and commerce, near the University of Toronto. With state-of-the art facilities, resources and talent, the Vector Institute is the place to come, to be and to stay.

Stay tuned over the coming weeks for more information on jobs such as those posted here, as well as student scholarships, fellowships and programming.

The Vector Institute is seeking a Project Manager to join our growing Industry Innovation team in Toronto.

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The Vector Institute invites applications for Postdoctoral Fellows who are working on cutting-edge fundamental research in machine learning and deep learning algorithms and their applications.

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Applications for the 2020 Vector Postgraduate Affiliates Program are now closed.

Recommendation letters can still be sent until December 8th, 2019.

Read more

Student & Research Opportunities

The Vector Institute is not a degree-granting institution. Students affiliated with the Vector Institute will be full-time graduate students at an affiliated university. Students interested in studying at Vector should apply directly to departments of affiliated universities where Vector-affiliated faculty hold academic positions, and state in their application their desire to work with Vector-affiliated faculty. Due to volume, individual faculty do not respond to individual requests to evaluate applications.

Please continue to check our website for the most up-to-date list of affiliated universities.

Affiliated universities:

If you are an undergraduate student or high school student interested in pursuing an education in machine learning and artificial intelligence, you can contact a program administrator or the Office of Research at your university of interest to learn about prerequisites and relevant courses. Students pursuing an education in machine learning and artificial intelligence typically have a strong foundation in computer science, engineering, mathematics, or statistics.

We are in the early stages of building the Vector Institute’s academic programs. Vector is not currently accepting applications for internships, research assistants or visiting scientists.

Subscribe to our mailing list for updates on upcoming opportunities and programs.

AI Master’s

The Vector Institute is committed to enhancing Ontario’s AI ecosystem in collaboration with Ontario post-secondary institutions and industry. Increasing enrollment in AI-related master’s programs that produce graduates with the knowledge, skills and competencies sought by industry will contribute to a diverse and highly skilled AI talent pool aiding Ontario-based companies and labs in attracting and retaining newly formed talent.

Vector engages Ontario academic institutions to support them in developing new programs and curricular components focused on AI in both core-technical STEM programs and complementary AI-related masters, such as business and health. To date, over 20 master’s programs have been recognized by the Vector Institute for equipping graduates with the AI skills and competencies sought by industry.

To support universities in recruiting top talent pursuing AI-related master’s programs, Vector has introduced the Vector Scholarships in Artificial Intelligence (VSAI). Vector has also introduced supports and events to help master’s students and graduates find internship and career opportunities in AI.

Learn more about the Vector Scholarship in Artificial Intelligence, internship and career opportunities for master’s students, Vector-recognized programs, and information for master’s programs seeking program recognition.












Funded by the Government of Canada and the Government of Ontario

The pan-Canadian AI strategy, led by CIFAR, promotes collaboration between the Vector Institute, the Alberta Machine Intelligence Institute and the Institut québécois d’intelligence artificielle (MILA).

Special thanks to the University of Toronto for assistance in the start-up of the Vector Institute.

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