Advanced Machine Learning Training Network

AML-TN is an advanced machine learning research training program with value-added training opportunities beyond what traditional machine learning graduate programs provide. Foremost amongst those is a funded research mobility program which enables students to travel to and have hosted research stays at one or more world-class institutions in our global network of research mobility partners. Not only do you get to live in Vancouver and study at UBC, you also get paid to visit and do research at institutions including MILA, AMII, Vector, Oxford, Cambridge, MIT, Gatsby, MPI, and more.

To apply to join AMLTN you must either already be a UBC graduate student or you must first apply and be admitted to a research graduate program in one of the Computer Science, Statistics, or Electrical and Computer Engineering departments at UBC. Select admitted candidates will be asked to additionally apply to AML-TN.

All students who are accepted and elect to join AML-TN are provided research mobility stipends, in addition to other funding attached to their general UBC graduate admission offer. Some students admitted to AML-TN are additionally fully funded for a period of time by AML-TN, yielding greater flexibility to both the student and supervisor.