OsloMet – Oslo Metropolitan University is one of Norway’s largest public universities, with a strong focus on applied research and societal relevance.
The Norway Mobility Programme offers data science talents from the Helmholtz Association the opportunity to undertake a research stay of up to three months at OsloMet. The university combines academic excellence with the dynamic setting of Norway’s capital, offering a diverse and practice-oriented research environment across the fields of social sciences, health, education, technology, and public administration.
Über NORA
NORA - Norwegian Artificial Intelligence Research Consortium
Die OsloMet - Oslo Metropolitan University is a partner of NORA, the Norwegian Artificial Intelligence Research Consortium. This initiative aims to strengthen Norwegian research, education, and innovation in the fields of artificial intelligence, machine learning, and robotics, as well as other relevant areas that support the development of AI applications.
Together with HIDA, NORA co-organizes the Norway Mobility Program, which offers doctoral researchers and postdocs from the Helmholtz Association and NORA partner institutions the opportunity to participate in a research stay in Norway.
OsloMet is a practice-oriented university with a strong interdisciplinary profile. Early-career scientists will find an open and collaborative research culture focused on solving real-world challenges through digital and data-driven approaches. Key themes include digital public services, sustainable urban development, healthcare innovation, and AI-supported education.
Many research projects are conducted in close cooperation with municipalities, public agencies, tech companies, and international partners.
Research priorities
OsloMet is structured into four main faculties and several research-intensive centres:
- Faculty of Health Sciences
- Faculty of Education and International Studies
- Faculty of Social Sciences
- Faculty of Technology, Art and Design
In addition, OsloMet hosts a number of leading research centres, including:
- OsloMet Artificial Intelligence Lab
- Centre for Research on Digitalization and Sustainability (CeDiS)
- National Centre for e-Health Research
The university has approximately 2,200 employees and 22,000 students.
The sites
The sites
OsloMet has two campuses – a central campus in Oslo and a second campus in Kjeller, near Lillestrøm.
OsloMet applies data science to develop concrete solutions for contemporary societal needs. By combining expertise in technology, health, public sector innovation, and social sciences, the university advances data-driven research with strong societal impact.
As part of the Norway Mobility Programme, OsloMet offers doctoral and postdoctoral researchers from the Helmholtz Association opportunities to engage in the following research areas:
- Data Science in Urban Health and Social Services
- Data-driven approaches to improve planning, prevention, and delivery of healthcare and social services in urban settings.
- AI-Supported Educational Innovation
- Research on adaptive learning systems, learning analytics, and ethical implications of algorithm-based educational decision-making.
- Digital Governance and Automated Decision-Making
- Development and critical assessment of data-based processes in public administration — with a focus on transparency, efficiency, and democratic participation.
- Ethics and Regulation of AI Systems
- Interdisciplinary work on privacy, fairness, accountability, and the legal and ethical frameworks for responsible AI.
- Sociotechnical Systems and Participatory Design
- Design and evaluation of technologies shaped by user needs, data logic, and public interest.
- Sustainable Digitalisation in Urban
- Development Research on data-driven mobility, energy efficiency, and social inclusion in the context of smart and sustainable cities.
Focus Areas at the OsloMet Artificial Intelligence Lab
In addition to broader data science research, the OsloMet AI Lab leads several cutting-edge initiatives, including:
- AI-Mind: Medical AI for Cognitive Screening
- Development of AI-supported diagnostic tools to detect and predict mild cognitive impairment and dementia progression, in collaboration with Oslo University Hospital.
- NordSTAR: Sustainable and Trustworthy AI
- Research on explainable, human-centered, and secure AI systems — including quantum AI, biologically inspired models, and responsible algorithm design.
- Biologically Inspired AI and Living Technologies
- Exploration of neural-inspired architectures, self-organizing systems, and evolutionary robotics for future energy-efficient, adaptive AI.
How to Apply
- Step 1: Contact a research group at one of the NORA member institutions to discuss the possibility of a three-month research stay.
- Step 2: Apply through this link.
- Step 3: Applications are reviewed by a selection committee, and you will be notified shortly thereafter.
You can find more details about the application process [here]
The selection of candidates for the scholarship is primarily based on the applicant’s motivation, the quality and originality of the project, and the overall feasibility within the proposed research stay. In addition, a clear connection to the field of Information & Data Science and added value for the Helmholtz Association’s research portfolio must be evident. The final decision on funding will be made in coordination with the respective Helmholtz Centers.
Please note that the program is open to doctoral researchers and postdocs with an employment contract at a Helmholtz Center, as well as Helmholtz-affiliated doctoral researchers and postdocs. If you are affiliated with a Helmholtz Center but employed elsewhere, please contact us before submitting your application.
As part of this exchange, HIDA acts as a liaison between hosts and participants and covers travel and material costs for Helmholtz participants. For specific questions regarding contractual and employment matters, please contact the program officers at your Helmholtz Center or the host institution.
More information about the program regulations can be found [here]
Contact
Stefanie Gruber-Sliva
Networks & Mobility Program Manager
Contact
