Vector Distinguished Postdoctoral Fellow

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 Distinguished Postdoctoral Fellows who are working on cutting-edge fundamental research in machine learning and deep learning algorithms and their applications.

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 Distinguished 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
Distinguished 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, Distinguished 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.

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, Distinguished Postdoctoral Fellows may teach and mentor at the Institute; engage in entrepreneurial activities; and/or work with existing companies to enhance their research.

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.

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 Final date to receive applications;
• 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 in your application via ADP.

• A cover letter, including identifying a Vector Faculty Member as potential supervisor.
• A curriculum vitæ.
• Links to at least three recent publications.
• A research statement outlining a proposed program of research.
• Three reference letters. One referee should be your PhD supervisor.

Achieving a more equitable, diverse and inclusive research institute is essential to creating excellent, innovative, and impactful research. The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and 2

SLGBTQIA+ persons.