University of Oslo
4 days ago
PhD Position in Statistics and Machine Learning at Oslo Centre for Biostatistics and Epidemiology University of Oslo in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
Norway
University
University of Oslo

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About this position
The Oslo Centre for Biostatistics and Epidemiology (OCBE) at the University of Oslo is offering a fully funded PhD position in Statistics and Machine Learning. This opportunity is ideal for candidates interested in advanced research at the intersection of statistics, machine learning, biostatistics, and epidemiology. The OCBE is recognized for its contributions to data-driven medical research and is part of a vibrant academic environment in Oslo, Norway.
The position is associated with the ELLIS (European Laboratory for Learning and Intelligent Systems) network, which connects leading AI researchers across Europe and fosters international collaboration. ELLIS supports the next generation of AI talent through its PhD and Postdoc programs, providing access to a dynamic research community and opportunities for cross-border scientific innovation in artificial intelligence, statistics, and related fields.
Applicants should have a strong background in statistics, machine learning, or related quantitative disciplines, and typically hold a relevant master's degree. Experience in data analysis, programming, and research in biostatistics or epidemiology is highly valued. The position offers a competitive salary and may include tuition coverage, following Norwegian PhD employment standards. The application deadline is April 19, 2026.
To apply, candidates should submit their application via the University of Oslo's job portal, including a CV, cover letter, and supporting academic documents. For more information about the ELLIS network and its research programs, visit ellis.eu.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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