The Trustworthy Machine Learning group is recruiting a PhD student funded by TeamPerMed Center for Data-Enriched Personalised Medicine. You will work with Professor Antti Honkela. You will develop privacy-preserving techniques for personalised medicine applications, covering both health record data and genetic data. The work will be based on differential privacy, that allows mathematically proving privacy preservation. The developed methods will be applied to real-world problems in collaboration with domain experts at the University of Tartu and the University of Helsinki.
A start date in early September 2026 is ideal but it is flexible. The application deadline is 14 June 2026 (at 23:59 UTC +3).