PhD Research Fellow in Machine Learning and Statistics

The University of Oslo invites applications for a three-year PhD research fellow position in machine learning and statistics, hosted within Integreat – the Norwegian Centre for Knowledge-driven Machine Learning. The successful candidate will work at the intersection of machine learning, statistics, and ethics, focusing on developing deep learning-based synthetic data generators that ensure both high utility and strict privacy protections. Responsibilities include designing new privacy and fairness metrics, critically assessing trade-offs, and participating in an interdisciplinary academic environment. The position offers structured researcher training, professional mentorship, and opportunities for teaching or research assistance.

• Develop deep learning-based synthetic data generators balancing high utility with privacy and fairness guarantees.
• Formulate new measures of privacy and fairness to assess synthetic data properties or incorporate them into loss functions.
• Critically assess the potentials, limitations, and ethical implications of the developed methodologies.
• Collaborate across disciplines within an interdisciplinary research environment spanning mathematics, informatics, and statistics.
• Contribute to departmental duties such as teaching, supervision, or research assistance if a fourth extension year is undertaken.