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. Our areas of research include: Computer Vision Healthcare – computational biology, genomics Natural Language Processing The standard term for a Postdoctoral Fellow position is 1–2 years, with a possible extension to 3 years. 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. 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. Should they be so inclined, Postdoctoral Fellows may teach and mentor at the Institute; 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. 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 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. 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 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. PhD or equivalent in Computer Science, Statistics, Electrical Engineering, or a closely related field. 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. One referee should be your PhD supervisor. Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic. 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 2SLGBTQIA+ persons.