PhD Research Fellow in Machine Learning and Statistics

The Norwegian Centre for Knowledge-driven Machine Learning (Integreat) at the University of Oslo invites applications for a doctoral research fellow position focusing on machine learning and statistics. The successful candidate will design deep learning-based synthetic data generators that balance high utility with robust privacy protection and fairness. Working across the Department of Mathematics and the Department of Informatics, the researcher will critically evaluate the implications of these methods regarding ethics, fairness, and privacy. The role offers a collaborative, interdisciplinary environment with a strong emphasis on mentorship and professional development.

• Develop deep learning-based synthetic data generators that achieve high utility and strong privacy guarantees.
• Design and implement tailored model approximations for privacy-preserving data generation.
• Formulate new measures of privacy and fairness for assessing synthetic data generators and for use in training loss functions.
• Critically assess the potentials and limitations of developed approaches regarding fairness, privacy, and utility.
• Collaborate closely with researchers across the Department of Mathematics and the Department of Informatics.
• Contribute to an interdisciplinary, inclusive, and supportive research environment.