Machine Learning Summer School (MLSS) is a course about modern methods of statistical machine learning and inference. It presents topics which are at the core of modern machine learning, from fundamentals to state-of-the-art practice. The summer school takes the form of an intensive 2 weeks experience with a full immersion into Skoltech's innovative and research-oriented community.
AI Innovation of Sweden and Chalmers AI Research center work together to enable PhD students and partners to AI Innovation of Sweden, this unique opportunity to participate in this summer school, that will host the most prominent researchers from AI.
The stipends will include the fee for participation and accommodation during the summer school. The stipend will not include cost and arrangement for travel, costs for visa application, allowance or food. (except what’s included in the summer school).
All PhD students at Swedish universities, with a recommendation letter from the academic supervisor, are eligible to apply.
- Participating in MLss is a great opportunity to learn more about the latest advances in AI and Machine Learning. The students will meet and make deep relations with international students, academics and professionals at the new fantastic Skoltech campus in Moscow, tells Mats Hanson, AI Innovation of Sweden.
- By giving young researchers, PhD students, the possibility to collaborate with peers in an international inspiring summer school environment we will stimulate research, creativity and accelerate innovation, Mats continues.
For more information:
Mats Hanson, AI Innovation of Sweden
Ivica Crnkovic, Chalmers AI Research Centre