PhD positions in Machine Learning (8), Oslo and Tromsø, Norway
Benjamin Ricaud
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. More information and application here:
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