Registration for the DLRL Summer School is $700 CAD and must be paid within 30 days of acceptance. Students must cover their own travel and accommodation costs. Support for students who self-identify as Black or Indigenous is available — see the “CIFAR Inclusive AI Scholarship” information below.
|January 19, 2023||Applications open for 2023 DLRL Summer School|
|February 22, 2023||Deadline to apply for 2023 DLRL Summer School|
|Week of March 27, 2023||Notice of acceptance and invitation to register|
|April 29, 2023||Last date to register|
|July 17–21, 2023||2023 DLRL Summer school in session|
The DLRL Summer School uses a scoring system to select the majority of participants. Applicants with a higher score have a higher probability of being accepted. The scoring system favours applicants who are graduate students that have not attended the DLRL Summer School in the past and whose research areas are closer to the scope of the summer school. Additional consideration is given to applicants who identify as a member of an under-represented group in AI.
CIFAR Inclusive AI Scholarship
CIFAR is pleased to launch the CIFAR Inclusive AI Scholarship this year, which will be awarded this year to all students who are admitted into the CIFAR DLRL Summer School who self-identify as Black or Indigenous. The scholarship will cover registration fees, transportation costs, meals, and accommodations for the duration of the Summer School, in accordance with CIFAR’s travel policy.
- Trainees who applied for previous years’ DLRL Summer Schools but were not successful will be required to reapply.
- The DLRL Summer School sessions will take place in English only, to accommodate the widest number of international students.
Who Should Apply?
Graduate students, postdocs, and early-career researchers in quantitative disciplines, who have some knowledge of machine learning, deep learning, and reinforcement learning. We welcome students from all around the world, with a focus on inclusion of those who identify as members of underrepresented groups in AI.
Ready to apply?
To apply for the Deep Learning + Reinforcement Learning Summer School, you will be taken to our online platform, SurveyMonkey Apply. Please use the instructions below to get started on your application. If you have not used this portal before or you don't see the “CIFAR Deep Learning + Reinforcement Learning Summer School” card when you click programs, you will have to fill out an eligibility profile.
Step 1: Click “Fill Out Eligibility Profile” if this option is presented, or else do steps 2, 3, 4 to update the eligibility profile.
Step 2: Click name
Step 3: Click on “account”
Step 4: Click “eligibility”
Step 5: Update your eligibility profile
Step 6: Select the Deep Learning + Reinforcement Learning Summer School option to continue your application.