PhD Position in Probabilistic Machine Learning and Statistics

The University of Oslo invites applications for a fully funded PhD position focused on probabilistic machine learning and statistics. The research project centers on designing probabilistic factor models and scalable inference algorithms to analyse complex biological data such as spatial transcriptomics and fluorescence imaging. The successful candidate will work within an interdisciplinary academic environment to address computational, identifiability, and interpretability challenges in modern biomedical research. Applicants are expected to hold a relevant master's degree and demonstrate strong quantitative skills.

• Develop probabilistic factor models and scalable inference algorithms for high-dimensional, structured biological data.
• Design modular methods that integrate domain-specific knowledge into latent-variable frameworks.
• Investigate methodological questions regarding computation, identifiability, and uncertainty quantification.
• Account for physical constraints, spatial relationships, and clinical covariates within modeling pipelines.
• Apply developed computational methods to spatial transcriptomics and fluorescence imaging datasets.