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UiT The Arctic University of Norway

PhD Fellowships in Knowledge-Driven Machine Learning, Statistics, Logic, Language Technology, and Ethics in Norway University of Oslo and UiT The Arctic University of Norway in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Norway

University

UiT The Arctic University of Norway

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Keywords

Computer Science
Mathematics
Philosophy
Bayesian Statistics
Knowledge Representation
Mathematical Logic
Engineering Ethics
Statistics
Linguistics
Machine learning

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About this position

Integreat, the Norwegian Centre for Knowledge-driven Machine Learning, is advertising 8 PhD fellowships in Norway across the University of Oslo and UiT The Arctic University of Norway. The projects are cross-disciplinary and sit at the intersection of computer science, statistics, mathematics, linguistics, and philosophy/ethics, with topics including predictive Bayesian inference and foundation models, logic and knowledge representation, data attribution for LLMs, bias in VLMs, machine reasoning, multi-agent knowledge bases, probabilistic representation learning, and structured VLMs for high-level reasoning.

Four of the positions are co-funded with TRUST - The Norwegian Centre for Trustworthy AI. The host units are the Departments of Mathematics and Informatics at the University of Oslo and the Department of Physics and Technology at UiT.

Eligibility highlights: a master's degree or equivalent in a relevant field; final-stage master's students may apply; English fluency is required. For University of Oslo positions, the post specifies grade requirements (bachelor average C or better, master average B or better, and master thesis B or better). For UiT positions, applicants need either 180 ECTS bachelor and 120 ECTS master credits or a 300 ECTS integrated master's degree.

Funding: the post describes these as PhD fellowships and notes that the positions are fully funded, with four positions co-funded by TRUST.

Timing: start dates are preferably in 2026, or not earlier than 2 January 2027 depending on the project.

How to apply: use the official Jobbnorge posting linked in the post, read the project descriptions carefully, and submit an application for the fellowship/project that matches your background and interests. The post itself does not list a deadline, so check the official vacancy page for the closing date.

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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