2 PhD Positions and 1 Postdoc in Statistics, Machine Learning, and Biostatistics at University of Oslo University of Oslo in Norway

Three fully funded research positions are available at the Oslo Centre for Biostatistics and Epidemiology, University of Oslo (Norway): two PhD positions and one 3-year postdoc position in statistics, machine learning, and biostatistics.

The PhD projects sit at the intersection of machine learning, probabilistic modelling, and genetics. One project aims to develop new methods for analysing tensors with complex latent dependencies using machine learning and efficient Bayesian inference (for example, variational approximation). The second PhD project focuses on new generative models for discrete sequence data, combining diffusion models and coalescent theory.

The postdoc position is linked to a project funded by the Research Council of Norway and concerns Bayesian models for unsupervised learning when multiple data sources are available, with an emphasis on probabilistic recommender systems.

The positions are connected to Integreat, the Norwegian Centre for Knowledge-driven ML, and the broader research group on statistical models for high-dimensional and functional data. The post highlights a strong research environment for early-career researchers.

Funding is described as fully funded, with competitive Norwegian salaries typically around 2,500–3,000€ net per month. The post also notes free healthcare and a high quality of life in Oslo.

Application deadlines mentioned in the post are 19 April for PhD position 1 and the postdoc, and end of April for PhD position 2 (with the link to be posted later). Interested applicants should use the Jobbnorge links provided, monitor the post for the second PhD application link, and contact the listed supervisors for questions.