Vector Postdoctoral Fellow - Toronto, Canada - Vector Institute

Vector Institute
Vector Institute
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Toronto, Canada

1 month ago

Sophia Lee

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Sophia Lee

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Description

POSITION OVERVIEW

Our areas of research include:

Computer Vision

Generative Models

Healthcare - computational biology, genomics

Natural Language Processing

Optimization

Reinforcement Learning

Statistical Learning Theory

Sequential Decision Making

Security, Privacy & Fairness

Quantum Computing

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

Also available is the opportunity for eligible individuals to complete a placement at Vector before going on to take a faculty role elsewhere.


RESPONSIBILITIES
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.


ABOUT VECTOR


The Vector Institute is an independent non-profit corporation, with Faculty Members and Affiliates from the University of Toronto, University of Waterloo, and other Canadian universities.

It is supported with generous funding from the provincial and federal governments, as well as Canadian industry sponsors.


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, supported with state-of-the-art compute power, and dedicated professional 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 organizations, 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 dedicated staff facilitating 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 AI Engineers who help improve 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:

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,
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