Publisher
source

University of Oslo

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 available

Deadline

December 31, 2026
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Country

Norway

University

University of Oslo

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Keywords

Computer Science
Data Science
Epidemiology
Biostatistics
Artificial Intelligence
Statistics
Machine learning

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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