Mila is a place of collaboration and a meeting point for the main players in artificial intelligence in Montreal. Our mission is to build a global pole of scientific advances that inspires innovation and the rise of artificial intelligence for the benefit of all.
Mila brings together more than 450 students, professors, experienced researchers and artificial intelligence professionals at its Mile-Ex offices.
Mila is a unique research institute. We welcome interns (part-time or full-time), master’s students, doctoral students (including visitors) and post-docs from the Université de Montréal, de l’Université McGill, de l’École Polytechnique de Montréal et de HEC Montréal, all supervised by the professors who are members of Mila.
To study at Mila, one must first be supervised by one of the professors who are members of Mila. Requests for supervision are made via a Mila application form, while registrations are administered by the universities themselves.
Mila has the largest concentration of university researchers in Deep Learning on one campus.
The Mila supervision request is a service offered to facilitate the selection and matching of Mila professors to applicants, but it does not preclude other ways by which applicants and professors can find each other.
Towards the beneficial and responsible development of AI, Mila intends to increase research targeted at humanitarian applications and make it easier for students from developing countries to gain experience at Mila as part of an internship (typically 3 to 6 months). If you are interested in a post-doctoral position targeted at humanitarian applications or if these internships interest you, please fill the application form for post-docs or the one for interns below and then send an e-mail to Kris Sankaran at firstname.lastname@example.org.
Mila is proud to attract talent from around the world. The values of equality, inclusion and diversity are at the heart of Mila’s vision. They are part of our social commitment to share knowledge for the common good, across borders and socio-economic boundaries.
Students at PhD and postdoc levels are expected to already have strong exposure to machine learning, and preferably to deep learning. A strong background in mathematics (probability, linear algebra, numerical optimization, statistics) and computer science (numerical computation, open source software development) is expected at all levels. Postdoc levels candidates typically already have a strong track record in deep learning itself.
At the end of your Mila supervision, you will graduate from one of the partner universities and / or affiliated schools.
The Mila values are the cornerstone of our community, our vision and they feed our DNA. They guide each of our decisions; from recruitment to the projects we undertake.