PhD Student

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). Requirements A master's degree in mathematics, statistics, computer science or a related topic Prior experience in machine learning and differential privacy is desirable Excellent English skills In addition, according to the system of the University of Helsinki, all doctoral researchers belong to a doctoral programme. The successful candidate should apply to Doctoral Programme in Science and obtain the study right within the trial period of six months of their employment contract. We offer The opportunity to do fundamental research A world class academic community that promotes diversity, international engagement and equality 3-year full-time contract A starting salary of ca. 2800 euros/month. The salary will develop in accordance with the progress. Occupational health care and other social benefits Support for internationally recruited employees with their transition to work and live in Finland A chance to live in Helsinki and Finland renowned for their high-quality of life, services, and work-life balance