Valeria Vitelli

Three positions are open in the group of Prof. Valeria Vitelli at the University of Oslo, Norway, within the Oslo Centre for Biostatistics and Epidemiology (OCBE). The group is seeking two PhD candidates and one postdoctoral researcher to work on cutting-edge research at the intersection of biostatistics, machine learning, probabilistic modelling, and genetics. The PhD projects focus on developing new methods for tensor analysis with complex latent dependencies and generative models for discrete sequence data, leveraging advanced machine learning and Bayesian inference techniques. The postdoctoral position is linked to a recently funded project by the Research Council of Norway, focusing on Bayesian models for unsupervised learning, particularly in probabilistic recommender systems. OCBE offers a vibrant research environment with strong international collaborations and close connections to Integreat - Norwegian Centre for Knowledge-driven Machine Learning and dScience – Centre for Computational and Data Science. The positions are fully funded for three years each. Applicants should have a strong background in statistics, mathematics, computer science, or related fields, with experience in machine learning, probabilistic modeling, or genetics being highly desirable. The application deadline is April 19th, 2026. For more information and to apply, visit the University of Oslo vacancies page.

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.