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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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.

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.

Combining Technology and Governance for Privacy Protection

June 10 | 9:00 – 11:30 a.m. | webinar

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.

Click here to register

Dataset Shift and COVID-10 Protection

July 15 | 9:00 – 11:30 a.m. | webinar

Concerns are surfacing about the disconnect arising between historical data and novel patterns of human behavior in the face of the SARS-CoV-19 pandemic. The more general trend is known as dataset shift, and is the topic of a new research project at Vector. As part of our Covid-19 Research Collaboration ESS series, we will be offering a webinar that explores how our industry partners can utilize and retain the value of historical data in a Covid

Click here to register

Vector Insights (Formerly AI For Executives) — Sponsors Only

Public Sector Adoption of AI: Working with the Private Sector

July 8 | 9:00 – 11:30 a.m. | webinar

The public sector lags behind the private sector in terms of adopting digital technology, AI in particular. In this moderated discussion, three leaders from the public sector in Canada and the US will discuss the forces driving AI adoption, the special role of Covid 19 in accelerating change, and the unique challenges and risks faced by the private sector in both countries with a focus on the health and national defense.

Click here to register

How to Close the AI Skills Gap

Oct 22 | 8:30 am – 2:00 pm|  Venue: TBA

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.

Click here to register


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 Manager, AI Startups & Scaleups to join our growing team in Toronto.

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The Vector Institute is seeking a Technical AI Staff, Scientist to provide technical and scientific expertise, advice and guidance to Vector staff and key external stakeholders.

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The Vector Institute is seeking a Scientific Systems Administrator to join our growing team in Toronto as we continue the work of making Canada a centre of expertise for AI in the world.

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The Vector Institute is seeking a Manager, Research Computing to join our growing team in Toronto as we continue the work of making Canada a center of expertise for AI in the world.

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The Vector Institute is seeking a Research Engineer to join our growing team in Toronto.

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Are you a junior researcher with the potential to become a world-class machine learning scientist? Apply to become a Vector Institute Postdoctoral Fellow and conduct cutting-edge fundamental research in machine learning and deep learning algorithms and their applications.

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Applications for the 2020 Faculty Affiliates Program are not open yet.

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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.

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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

  • Government of Canada
  • 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.

  • University of Toronto

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