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PhD Fellowships in Knowledge-Driven Machine Learning in Norway (8 positions) @ UNIVERSITETET I OSLO SENTRALADMINISTRASJON

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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 Integreat and TRUST About Integreat Integreat – Norwegian Centre for Knowledge-driven Machine Learning is a Centre of Excellence funded by the Research Council of Norway, with branches in Oslo at the University of Oslo and in Tromsø at UiT The Arctic University of Norway. Machine learning is a core driver of artificial intelligence (AI) and an increasingly important force in a digital and data-driven world. Integreat develops theories, methods, models, and algorithms that combine data with general or domain-specific knowledge, helping lay the foundations for the next generation of machine learning. Integreat projects aim for more accurate, more sustainable, more explainable, and more trustworthy machine learning, with quantified uncertainty. The centre brings together perspectives and methodologies from statistics, logic, language technology, theoretical computer science, ethics, and machine learning in new ways. Its research focuses on developing ground-breaking methods and theories for addressing fundamental challenges in science, technology, health, and society. Integreat draws on the research strengths of researchers and students from the departments of Mathematics, Informatics, and Philosophy, the Oslo Centre for Biostatistics and Epidemiology at UiO, the Norwegian Computing Center (NR), and the machine learning group at UiT, with members from the departments of Physics and Technology, Mathematics and Statistics, and Computer Science. About TRUST TRUST is a Norwegian research centre dedicated to building the foundations of trustworthy AI. Its mission is to enable AI systems that are accurate, interpretable, inclusive, fair, safe, sustainable, and well-governed. By uniting expertise from (i) machine learning, statistics, mathematics and data science, (ii) law, and social sciences, and (iii) philosophy, the centre seeks to produce ground-breaking results tested on real-world problems, including healthcare, mobility, governance, security, and climate resilience. In advancing trustworthy AI, TRUST will develop new AI technologies, support innovation, and investigate the societal consequences of AI, including the effects of AI on democracy, science, and the environment. With a consortium of over 70 partners from academia, industry, government and civil society in Norway and internationally, TRUST’s research is theoretical, methodological, legal, and empirical. TRUST is funded by the Research Council of Norway and its public and private partners, and is led by the University of Oslo, SINTEF and the Norwegian Computing Center (NR). Integreat and TRUST collaborate on selected research and training activities, creating opportunities for interaction across complementary research areas in machine learning and trustworthy AI. Through access to the scientific activities, expertise, and networks of both centres, recruited candidates will benefit from opportunities for scientific exchange, interdisciplinary collaboration, engagement with academic and non-academic partners, and participation in a wider national AI community. About Integreat See the information video for more information about Integreat. Video: https://www.youtube.com/shorts/-_I52cJHiW4 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 progra

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