Deep Learning Summer School (DLSS) – July 25 – 31, 2018

Reinforcement Learning Summer School (RLSS) – August 1 – 3, 2018

Note: There will be no formal summer school programming on July 29, 2018; optional extracurricular programming (e.g. networking and tourism events) will be offered.


Decisions will be issued by the end of April 2018.


Complete the application form below to be considered by the 2018 CIFAR DLSS and RLSS Selection Committee.

Please be advised that this form cannot be saved as a draft. Before you begin the application process, kindly ensure that you are prepared to submit the following required information and documents:

  1. Personal identification and contact details
  2. Link(s) to your personal academic web page (if you have one)
  3. CV with a list of publications in PDF format (maximum 3 pages)
  4. Brief description of your research interests (3-5 key words) and a statement describing how you meet the background criteria (150 words)

Financial Support

Limited financial support is available for students. For more information, see Financial Support.


DLSS and RLSS use a scoring system to select the majority of participants. Decisions will be made stochastically, and applicants with a higher score will have a higher probability of being accepted. The scoring system favours an applicant who is a graduate student and whose research area is closer to the scope of the summer school(s). It also favours applicants who are from a Canadian university, an under-represented group, contribute to a research blog or an open-source project, and those who have not having attended the schools before.


Information collected on this form will only be used for the purposes of evaluating your application, communicating with you regarding your application, and planning the necessary support and logistics for the 2018 CIFAR DLSS and/or RLSS. Your information will be treated as confidential and will not be shared except as necessary for the purposes stated here.

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