PhD and Postdoctoral Positions in Biostatistics, Machine Learning, and Genetics at University of Oslo University of Oslo in Norway

The Oslo Centre for Biostatistics and Epidemiology (OCBE) at the University of Oslo is offering two PhD positions and one three-year postdoctoral researcher position in the fields of biostatistics, machine learning, and genetics. The PhD projects focus on developing new methods for analyzing tensors with complex latent dependencies using machine learning and Bayesian inference, as well as creating generative models for discrete sequence data by combining diffusion models and coalescent theory. The postdoctoral position is linked to a project funded by the Research Council of Norway, centered on Bayesian models for unsupervised learning, particularly in probabilistic recommender systems and rank-based modeling.

OCBE is a vibrant research community with strong international collaborations and close ties to Integreat - Norwegian Centre for Knowledge-driven Machine Learning. The positions offer an excellent opportunity to work at the intersection of statistics, mathematics, computer science, and genetics, contributing to cutting-edge research in probabilistic modelling and machine learning.

Applicants for the PhD positions should have a solid background in statistics, mathematics, computer science, or related fields, with experience in machine learning, probabilistic modelling, or genetics being advantageous. The postdoctoral candidate should hold a PhD in a relevant discipline and have expertise in Bayesian modelling, preference learning, or recommender systems. The positions are fully funded, with salary and benefits according to University of Oslo regulations. The application deadline is April 19th, 2026.

For more information and to apply, visit the official University of Oslo vacancies page. This is an excellent opportunity for motivated candidates to join a leading research group and contribute to innovative projects at the intersection of biostatistics, machine learning, and genetics.