|April 11, 2022||Deadline to apply for 2022 DLRL Summer School|
|Week of May 17, 2022||Notice of acceptance and invitation to register|
|June 30, 2022||Last date to register|
|July 25-29, 2022||2022 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.
- Trainees who applied for the 2021 DLRL Summer School but were not successful will be required to reapply for the 2022 virtual school.
- The DLRL Summer School sessions will take place in English only.
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.