PhD Research Fellow in Machine Learning and Statistics University of Oslo in Norway

The University of Oslo, through Integreat – the Norwegian Centre for Knowledge-driven Machine Learning, is offering a PhD Research Fellowship in Machine Learning and Statistics. This opportunity is ideal for early-career researchers passionate about advancing methods for generating private and fair synthetic data with high utility. The project focuses on developing deep learning-based synthetic data generators that balance utility and privacy, employing tailored model approximation and innovative measures of privacy and fairness. These measures will be used to assess synthetic generators and inform loss functions during training.

The research is situated at the intersection of machine learning, statistics, and ethics, with a strong emphasis on societal impact, including fairness, privacy, and responsible data use. The position is affiliated with the Statistics and Data Science research group at the Department of Mathematics and collaborates closely with the machine learning group at the Department of Informatics. The University of Oslo provides a supportive and interdisciplinary environment for researchers to grow and contribute to impactful projects.

Applicants should hold a Master degree or equivalent in computer science or a related field, with a solid foundation in machine learning and statistics. Motivation to address ethical challenges in data science is highly valued. The position is full-time and temporary, with a contract of 37.5 hours per week. Funding details are not specified in the announcement.

The application deadline is March 8, 2026. Interested candidates should apply online via the JobbNorge portal, submitting a CV, academic transcripts, and a motivation letter. For further information, applicants may contact [email protected] or [email protected]. More details about the position and application process can be found at JobbNorge and Integreat.