Apply for participation in the virtual Nordic Probabilistic AI School (ProbAI) 2021.

— Applications closed

Application period finishes March 31 AoE (Anywhere on Earth). We strongly advise early applications. Applications may be closed earlier if the number of applications exceeds our capacity to review.

Notification Deadlines

All applicants will be notified of acceptance or rejection by April 12 April 19.

Virtual Experience

We are designing a virtual experience that would still allow social interactions and collaborations similar to a physical event. With that in mind, we are also selecting digital platforms supporting such requirements.

Together with the intentionally small team of invited lecturers, we hope to provide an efficient and quality knowledge transfer through:

  • carefully designed curriculum and program,
  • coordination between our lecturers,
  • a mix of theoretical lectures and hands-on tutorials,
  • support for students from our teaching assistants,
  • platforms for a close interaction and collaboration between students, lecturers and teaching assistants.

The program is scheduled in the daytime of CEST. We realize that the time zone differences are an inconvenience, but we truly hope it will not be a barrier for participation.

Note: Initially, we were preparing a hybrid concept of the ProbAI 2021 allowing both physical and virtual presence. However, the development of the COVID-19 pandemic did not meet our optimism, and therefore, we have decided for a fully virtual experience.

Selection Process

We want to ensure an engaging and diverse audience. We aim to select a diverse group of 200 participants. The selection will be based on multiple criteria such as experience, institution affiliation, geographical location, gender. The selection process will be based on the submitted material and will be executed by a diversified committee of trusted experts.

Target Audience

Everyone is welcome: PhD students, exceptionally advanced MSc or BSc students, experienced researchers (postdocs, faculty or industry members), engineers and other practitioners from industry, and also hobbyists.

We expect from the participants experience with programming in Python, experience in machine learning, and at least a basic but sound knowledge of calculus, linear algebra, probability theory and statistics.

Registration Fee

The registration fee includes all courses and access to digital platforms for communication and collaboration.

  • Students (including PhD) → 500 NOK ~ 50 EUR
  • Academia → 1500 NOK ~ 150 EUR
  • Industry → 3000 NOK ~ 300 EUR

The registration fee will be fully refunded if the registration is cancelled until May 13. Please, contact us even if you do not meet the conditions for a refund.


If the registration fee or any other costs may prevent you from attending the school, we encourage you to apply for a scholarship. We can offer only a limited number of scholarships in the amount exceeding the registration fee.

PhD Course with ECTS Credits

The ProbAI school has been registered as a PhD course (at NTNU) awarded with 7.5 ECTS credit points.

Additionally to attending the lectures and tutorials at ProbAI and as the mean of examination, a PhD course registrant must submit a solution to a project assignment. The submission shall consist of well-commented source code together with a written report documenting the process leading to the solution. The written examination will not require you to stay in Norway. The submission will be evaluated and graded with passed or failed.

Accepted PhD students will receive instructions for registering for the PhD course. In this process, all non-NTNU students will need to document that they are admitted to a PhD program at their home institution.