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About the positions
Interested in pursuing a PhD in machine learning in an interdisciplinary and collaborative environment in Norway?
Integreat - Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo and UiT The Arctic University of Norway invites applications for eight PhD fellowships connected to interdisciplinary projects in knowledge-driven machine learning. Four of the positions are co-funded with TRUST - The Norwegian Centre for Trustworthy AI. Integreat and TRUST provide a broader interdisciplinary research environment, offering all recruited candidates access to complementary expertise, scientific activities, and national research networks. The purpose of the fellowships is research training leading to the successful completion of a PhD degree. Successful applicants will be enrolled in the PhD programme at the University of Oslo or UiT The Arctic University of Norway.
Integreat brings together more than 100 researchers from mathematics, statistics, machine learning, logic, language technology, philosophy, and related fields. As a PhD fellow, you will become part of this interdisciplinary research community and work closely with researchers at different career stages across Integreat's partner institutions. You will also join an established cohort of early-career researchers and benefit from the centre's researcher development programme, including scientific seminars, interdisciplinary workshops, mentoring, career development activities, research mobility support, and social events.
The duration of each fellowship is specified in the individual project description. Most positions are three-year appointments. For selected projects, a four-year appointment may be offered, where the additional year is devoted to career-promoting tasks such as teaching, supervision, or other research-related duties outside the PhD project.
Starting date by agreement, depending on the project.
The place of work, either in Oslo or in Tromsø, is specified in each project description.
Working language: English
Job description
Integreat seeks to recruit fulltime PhD fellows for eight cross-disciplinary projects spanning machine learning, statistics, logic, language technology, and ethics. The projects address fundamental challenges in modern machine learning and contribute to developing new theoretical and methodological foundations for the field.
As a PhD fellow, you will conduct independent research within one of the advertised projects under the supervision of leading researchers. You are expected to contribute actively to the research environment by participating in the centre's scientific activities, seminars, workshops, and collaborative initiatives.
Detailed information about each project, including the host department, PhD programme, starting date, and project-specific qualification requirements, is provided below and in the links.
Project 1: Predictive Bayesian inference and foundation models
- Employment: University of Oslo, Department of Mathematics
- PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences
Starting date: not earlier than 2 January 2027 and preferably as soon as possible thereafter
Project 2: Bridging logic, knowledge representation and learning
- Employment: University of Oslo, Department of Informatics
- PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences
Starting date: not earlier than 2 January 2027 and preferably as soon as possible thereafter
Project 3: Data attribution for LLMs
- Employment: University of Oslo, Department of Mathematics
- PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences
Starting date: preferably in 2026, by agreement
Project 4: Measuring bias in VLMs
- Employment: University of Oslo, Department of Informatics
- PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences
Starting date: preferably in 2026, by agreement
Project 5: Models and dynamics of machine reasoning
- Employment: UiT - The Arctic University of Norway, Department of Physics and Technology
- PhD programme: UiT - The Arctic University of Norway, Faculty of Science and Technology
Starting date: preferably in 2026, by agreement
Project 6: Multi-agent knowledge bases
- Employment: UiT - The Arctic University of Norway, Department of Physics and Technology
- PhD programme: UiT - The Arctic University of Norway, Faculty of Science and Technology
Starting date: preferably in 2026, by agreement
Project 7: Probabilistic Representation Learning
- Employment: UiT - The Arctic University of Norway, Department of Physics and Technology
- PhD programme: UiT - The Arctic University of Norway, Faculty of Science and Technology
Starting date: not earlier than 2 January 2027 and preferably as soon as possible thereafter
Project 8: Structured VLMs: panoptic scene graphs for high-level reasoning
- Employment: University of Oslo, Department of Informatics
- PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences
Starting date: not earlier than 2 January 2027 and preferably as soon as possible thereafter
Online information meeting
We warmly invite prospective applicants to an online information meeting where representatives from Integreat and TRUST will introduce the research centres, present the PhD opportunities, and explain the application process. You will also have the opportunity to ask questions.
Attendance is optional but strongly encouraged.
- Date: Wednesday 22 July 2026
- Time: 19.00-20.00 CEST
- https://uio.zoom.us/j/61927781301
Application and more information: https://www.jobbnorge.no/en/available-jobs/job/303593/phd-fellowships-in-knowledge-driven-machine-learning-in-norway-8-positions
Application through Jobbnorge: https://www.jobbnorge.no/en/available-jobs/job/303593/phd-fellowships-in-knowledge-driven-machine-learning-in-norway-8-positions