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.

Responsibilities

Postdoctoral fellows at the Vector Institute are junior researchers with the potential to become world-class researchers. Like postdoctoral researchers in a University lab, postdoctoral fellows at the Vector Institute are tasked with and supported in carrying out state-of-the-art research, publishing at the highest international level, and contributing to the academic life and reputation of the Institute. In addition, postdoctoral fellows at the Vector Institute have access to the resources of a well-funded institute dedicated solely to machine learning and deep learning, and are encouraged to work with any of our over 25+ world-class faculty in machine learning and deep learning, though they will typically work primarily with 1–2 faculty members. Postdoctoral Fellows will be expected to propose work on research topics of their interest related to machine learning and deep learning, and carry out that research with a great deal of independence. Should they be so inclined, postdoctoral fellows may teach and mentor at the Institute; engage in entrepreneurial activities; and/or work with existing companies to enhance their research.

The standard term for a Postdoctoral Fellow position is 1–2 years, with possible extension to 3 years.

Features of Vector

The Vector Institute is supported with generous funding from the provincial and federal governments as well as Canadian industry. The Vector Institute is located in the MaRS Discovery District building, spanning nearly the entire 7th floor and overlooking downtown Toronto and the beautiful Queen’s Park. On any given day, the Vector Institute houses over a hundred students, dozens of faculty members, hordes of state-of-the-art compute power, and an army of dedicated staff. The daily life and concentration of expertise in the institute fosters collaboration and the exchange of ideas among its members through talks, seminar series, visitors, and tutorials.

The Vector Institute’s vision is to drive excellence in the creation of artificial intelligence, to use it to foster economic growth, and to improve the lives of Canadians. To that end, the Vector Institute has close ties to both academia and industry. This puts our postdoctoral fellows in a unique position to contribute broadly. A successful contribution can range from developing core algorithmic techniques and theoretical analyses of machine learning algorithms, to working closely with existing companies and health organization, to engaging in entrepreneurial activities.

In addition to their research, Postdoctoral Fellows have the opportunity to work with industry to develop machine-learning-based solutions for their problems, or engage in related entrepreneurial activities. We have staff dedicated to facilitate all aspects of engaging with Vector sponsors and affiliated institutions, as well as close ties to incubators for entrepreneurial activities. The Vector Institute has extensive access to computing resources and datasets. We have a team of professional software engineers who help improving research productivity through software platform development, ensuring research reproducibility, publishing open source code and data, and in readying code for commercial use.

Who Should Apply?

We are looking for people with interests across a broad spectrum, from core machine learning or deep learning research to more applied and entrepreneurial activities. We are also looking for people who have excelled in other areas and are interested in moving into deep learning or machine learning more broadly.

Requirements

  • Ph.D. or equivalent in Computer Science, Statistics, Electrical Engineering, or a closely related field.
  • An excellent publication record in machine learning.
  • Expertise in a core area of machine learning, such as deep, unsupervised, and reinforcement learning, optimization, and theory; and/or applied machine learning, such as natural language, health, vision, robotics, medicine, biology, transportation, media, and finance.
  • For those looking to pivot to machine learning from a field with technical overlap, we are looking for an excellent publication record in your field as well as expertise in an area with some potential relevance to machine learning.

The Vector Institute

  • The Vector Institute for artificial intelligence is a newly-formed research institute in Toronto, located in the MaRS Discovery District, supported with funding from the provincial and federal governments as well as Canadian industry.
  • The Institute’s mission is to be a world-leading center for machine learning research and applications. We aim to push research into new domains and scientific discoveries. We also want to foster new applications, successful start-ups, and scale-ups. A primary aim is to graduate more AI talent, in response to the demand from industry in Toronto, Ontario, and Canada in general.
  • The Institute is an independent non-profit entity, with Members and Affiliates from the University of Toronto and other Ontario universities.

Application Requirements

The application must include the following:

  • A cover letter, including identifying a member of Vector as a primary contact.
  • A curriculum vitæ.
  • Links to at least three recent publications.
  • A research statement outlining a proposed program of research.
  • Contact details of three references who can provide letters of recommendation upon request.

All application materials should be emailed to: careers@vectorinstitute.ai

Deadline

The Hiring Committee reviews applications on an ongoing basis.

 

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. The Vector Institute encourages applications from all qualified individuals, including women, members of visible minorities, indigenous peoples and persons with disabilities.

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