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Emordi Promise Jude

7 months ago

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

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

The positions are fully funded, with salary and benefits according to the University of Oslo's regulations. The postdoctoral position is funded by the Research Council of Norway. No further details on stipend amount or tuition coverage are provided.

Deadline

Expired

Country flag

Country

Norway

University

University of Oslo

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Keywords

Computer Science
Machine Learning
Biostatistics
Mathematics
Probabilistic Modeling
Bayesian Statistics
Genetic
Statistics
Recommender System

About this position

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.

Funding details

The positions are fully funded, with salary and benefits according to the University of Oslo's regulations. The postdoctoral position is funded by the Research Council of Norway. No further details on stipend amount or tuition coverage are provided.

What's required

Applicants for the PhD positions should have a strong background in statistics, mathematics, computer science, or related fields, with experience in machine learning, probabilistic modelling, or genetics preferred. For the postdoctoral position, a PhD in statistics, mathematics, computer science, or a closely related discipline is required, with expertise in Bayesian modelling, preference learning, or recommender systems. Motivation and ability to work in interdisciplinary teams are important. No specific GPA or language test requirements are mentioned.

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Professors

Professor at University of Oslo

University Name
Country flag

Norway

Research Interests

Biostatistics

Statistics

Mathematics

Computer Science

Machine Learning