ETH Student Summer Research Fellowship
The Student Summer Research Fellowship (ETH SSRF) programme offers undergraduate and graduate students the opportunity to gain their first research experience in an area of their choice. The fellowship provided by the Computer Science Department of ETH takes place during two summer months and is open to all students worldwide. The department is committed to increasing diversity in the computer science area.
Research opportunities are available in the following areas:
Marina, SSRF Student:
"My mentors gave me a chance to try out my own research ideas."
Gokul, SSRF Student:
"My peers were a major highlight of the fellowship."
Jennifer Too and Katja Abrahams, Programme administrators
E-mail
More programmes in computer science
Current research news
Trustworthy AI – reliable and predictable
ETH Zurich researchers Andreas Krause, Alexander Ilic, Julia Vogt, Petar Tsankov and Margarita Boenig-Liptsin are developing AI that is transparent, interpretable and aligned with societal values. Through the ETH AI Center and the Swiss AI Initiative, they ensure AI systems are both reliable and trustworthy.
Making AI more accessible in football
Researchers at ETH Zurich’s Advanced Interactive Technologies (AIT) Lab, including doctoral student Tianjian Jiang, are working with FIFA to make AI-driven football analysis more accessible. By creating WorldPose, a dataset of 3D player poses from the FIFA World Cup 2022, they aim to develop AI solutions that work with a single broadcast camera instead of costly multi-camera setups.
Machine learning method could revolutionise multi-messenger astronomy
Observing binary neutron star mergers is high on the wish list of astronomers. In a study published in the scientific journal Nature, an interdisciplinary team of researchers including ETH Zurich postdoc Maximilian Dax and Professor Bernhard Schölkopf presents a novel machine learning method to analyse gravitational waves emitted from neutron star collisions almost instantaneously – even before the merger is fully observed.