University of Oslo
3 weeks ago
PhD Positions in Knowledge-Driven Machine Learning at Integreat University of Oslo in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 9, 2026
Country
Norway
University
University of Oslo

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About this position
Integreat is recruiting 8 PhD fellows in knowledge-driven machine learning in Oslo, Norway, with positions at the University of Oslo and UiT The Arctic University of Norway. The call is interdisciplinary and connects machine learning with statistics, mathematics, logic, language technology, ethics, philosophy, and related areas.
The available projects include topics such as Bayesian inference and foundation models, logic, knowledge representation, and learning, data attribution for large language models, bias and fairness in vision-language models, machine reasoning, probabilistic representation learning, and structured reasoning with foundation models. Successful candidates will join the Integreat research community and also have opportunities to engage with TRUST – The Norwegian Centre for Trustworthy AI.
Funding: These are full-time PhD fellow positions (paid employment). The post does not describe a scholarship programme; instead, fellows are employed by the host institution depending on the project.
Eligibility: Applicants must meet the general qualification requirements, the PhD programme admission requirements, and the project-specific requirements for the ranked projects. A single application is submitted, and applicants must rank 1 to 3 projects based on their interests and qualifications.
Deadline: 9 August 2026, 23:59 CEST. An online information meeting is scheduled for 22 July 2026.
How to apply: Read the project pages carefully, verify your eligibility, and submit one application ranking up to three projects. Use the official vacancy page for the full announcement and application instructions.
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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