Job Description

Are you seeking an exciting Ph.D. opportunity combining cutting-edge research with real-world impact? Do you have a passion for privacy-preserving machine learning and recommender systems? If so, we have the perfect opportunity for you. We are looking for a talented and motivated Ph.D. student to join our research team in the Privacy@Edge project and work on the problem of recommender systems for privacy settings using federated learning on the network edge. The project is funded by the Research Council of Norway and is in collaboration between SINTEF Digital, a leading research organization in Norway, NTNU, and several industrial partners.

As a Ph.D. student in our team, you will work on developing innovative federated learning techniques on the network edge to address the problem of recommender systems for individual user privacy settings. This is a critical area of research as users increasingly demand personalized recommendations while demanding their privacy to be respected. You will be able to work on cutting-edge machine learning and privacy research and collaborate with leading researchers in the field. You will be part of a dynamic and collaborative team committed to pushing the boundaries of research and making a real-world impact. Join us and make a difference in the future of privacy-preserving machine learning.

The Ph.D. candidates will have the opportunity to be affiliated with the IoT@NTNU and with the Norwegian Open AI lab, and to collaborate with research scientists from international partner institutions.

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