Publisher
source

University of Oslo

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PhD Fellowships in Knowledge-Driven Machine Learning (8 positions) University of Oslo in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 9, 2026

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Country

Norway

University

University of Oslo

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Keywords

Computer Science
Information Technology
Mathematics
Artificial Intelligence
Data-driven Modeling
Statistics
Machine learning

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About this position

Eight PhD fellowships are available in Knowledge-Driven Machine Learning in Norway, linked to the University of Oslo and UiT The Arctic University of Norway. This is a doctoral research opportunity for candidates interested in computer science, machine learning, statistics, and related mathematical foundations.

The post highlights a research-focused PhD opening rather than a scholarship programme. The positions are part of a larger academic initiative in knowledge-driven machine learning, suggesting work at the intersection of data-driven methods, domain knowledge, and advanced computational modeling. The announcement does not provide detailed project descriptions in the excerpt, so applicants should consult the full vacancy for specific research themes, supervision, and host unit information.

Eligibility and requirements: The content explicitly indicates PhD-level openings. No further entry requirements are stated in the provided text, so applicants should check the official advertisement for degree prerequisites, academic background, programming or ML experience, and language requirements.

Funding: The positions are fellowships, implying funded doctoral employment, but the excerpt does not specify stipend amount, tuition coverage, or contract length.

Deadline: 9 August 2026.

How to apply: Use the Jobbnorge application page linked in the post. Read the full vacancy carefully and prepare the required documents before submitting. Apply before the deadline.

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.

More information can be found here

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