Vector Postdoctoral Fellow

at  Vector Institute

POSITION OVERVIEW

Are you an early career researcher with the potential to become a world-class machine learning scientist? 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.

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

PhD or equivalent in Computer Science, Statistics, Electrical Engineering, or a closely related field. You must have completed all requirements of your doctoral degree no more than three years before the application deadline;
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.

APPLICATION REQUIREMENTS

Please note that all documents have to be converted and merged into a single PDF document and uploaded as one PDF file.
A cover letter, including identifying a Vector Faculty Member as potential supervisor. We encourage applicants to contact Faculty Members before submitting their application.
A curriculum vitæ.
Links to at least three recent publications.
A research statement outlining a proposed program of research.
Reference Letters
Three reference letters. One referee should be your PhD supervisor. If referees prefer to submit reference letters directly, they can be sent to research@vectorinstitute.ai.

Postdoctoral Fellows at the Vector Institute are early career 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. The Vector Institute offers a dynamic environment, and research freedom and opportunity to collaborate within and across research areas. They are part of a thriving research community of over 500 Vector Faculty Members, Faculty Affiliates, Postgraduate Affiliates, Postdoctoral Fellows, and graduate students.
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-40 world-class faculty in machine learning and deep learning, though they will work primarily with 1-2 faculty members.
They 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. They have the ability to collaborate with the graduate students of the machine learning group at the University of Toronto, as well as the graduate students of other affiliated faculty, who spend the bulk of their time at the Institute.