Norway Mobility Program

University of Agder

The University of Agder (UiA) is a modern, research-oriented university with campuses in Kristiansand and Grimstad, located in southern Norway. It is considered one of the country’s most dynamic higher education institutions, with a strong focus on applied research and technological innovation.

What makes UiA particularly exciting:

Research focus on AI and Data Science: UiA is home to the renowned Centre for Artificial Intelligence Research (CAIR), which conducts interdisciplinary research in areas such as machine learning, natural language processing, and explainable AI.

Close collaboration with industry and the public sector: Especially in fields like smart cities, e-health, maritime technologies, and sustainable energy, UiA offers hands-on projects with strong data-driven components.

International orientation: Many research projects are embedded in EU-funded consortia, fostering international networks and providing access to open data infrastructures. Digital infrastructure and state-of-the-art laboratories: UiA is heavily investing in computing resources, sensor technology, and infrastructure for data analysis, making it an ideal environment for experimental or application-driven research.

UiT The Arctic University of Norway

UiT The Arctic University of Norway in Tromsø is the world’s northernmost university, combining excellent research with a unique Arctic location. As a full university with a strong international outlook, UiT is deeply engaged in issues of sustainability, environmental change, and digital transformation—topics with direct relevance to data science.

What makes the university particularly exciting:

• Arctic data diversity: UiT is a leader in analyzing large-scale datasets from climate research, oceanography, biomedicine, and polar ecology—ideal fields for data scientists with a passion for research.
• Strong research groups: Centers such as the Arctic Centre for Sustainable Energy (ARC) and the Department of Computer Science are working on data-driven solutions for energy, mobility, and society.
• Open data & infrastructure: The university provides access to Arctic data sources, high-performance computing, and international research collaborations—perfect for exploratory or model-based research. Internationally connected: UiT is an active partner in EU projects and Arctic research networks, with a strong focus on interdisciplinary and global data science challenges.

OsloMet - Oslo Metropolitan University

As an urban, practice-oriented university in the heart of Oslo, OsloMet offers ideal conditions for data-driven research with societal relevance. Especially at the intersection of technology, social sciences, and applied AI, the university is playing an increasingly important role.

What makes the university particularly exciting:

• Applied AI & Data Science: OsloMet hosts the Center for Research on Artificial Intelligence, which focuses on areas such as explainable AI, fairness, and ethical data use—all key topics for modern data scientists.
• Strong connection to city and society: Research at OsloMet is often practice-oriented, with access to real-world data in areas such as health, education, labor markets, and smart city initiatives in Oslo.
• Interdisciplinary projects: Data scientists at OsloMet work at the interface between social sciences, public health, and administration, aiming to develop data-driven solutions to societal challenges.
• Access to urban data ecosystems: Thanks to its location and network, OsloMet provides access to a wide range of urban data sources and collaboration partners in the public sector.

University of Bergen

The University of Bergen (UiB) is a research-intensive university with a strong profile in environmental sciences, marine research, and data science. Its location on Norway’s west coast makes it a natural hub for data-driven research with global relevance.

What makes the university particularly interesting:

• Strong domains for data research: UiB has notable strengths in climate science, marine research, health data, and digital humanities, offering access to high-quality datasets.
• Infrastructure & open science: The university provides modern computing resources, open research data, and is involved in international collaboration networks, including EU projects and the UN Ocean Decade.
• Interdisciplinary teams: At UiB, data scientists often collaborate with disciplines such as medicine, biology, geosciences, or linguistics—making it an ideal environment for research-oriented, data-intensive projects.

Norwegian University of Life Sciences (NMBU)

The Norwegian University of Life Sciences (NMBU) in Ås, near Oslo, is a well-established university with a focus on sustainability, environment, bioeconomy, and life sciences. It integrates natural sciences and technological research with strong societal relevance—creating a fertile environment for data-driven research.

Why this university could be of interest:

• Data Science in Environmental and Life Sciences: NMBU applies data-driven methods in areas such as climate change, land use, biodiversity, agricultural technology, and veterinary medicine.
• Strong research units: Institutions like the Centre for Integrative Genetics (CIGENE) and the Faculty of Science and Technology focus on genomics, precision agriculture, image processing, and modeling—all with direct application of data science methodologies.
• Access to complex data sources: NMBU offers access to extensive datasets in environmental monitoring, sensor technology, and biology—an excellent foundation for data scientists interested in sustainability, life sciences, or applied AI.
• Focus on sustainable innovation: The university is an active partner in national and international projects related to green technologies, the circular economy, and data infrastructures for sustainability research.

Simula Research Laboratory AS

Simula is a leading Norwegian research institute based in Oslo, specializing in high-quality basic and applied research in the fields of software engineering, communication systems, and computational science. It combines scientific excellence with strong societal relevance.

Why the institute could be of interest:

• High-end data science & modeling: Simula is internationally recognized for its work in numerical simulation, machine learning, medical imaging, biomedical modeling, and network data analysis—an ideal environment for research-oriented data scientists.
• SimulaMet & Simula UiB: With additional branches at OsloMet (SimulaMet) and the University of Bergen (Simula UiB), the institute has a wide collaborative network—especially in areas such as cybersecurity, AI ethics, mobile networks, and distributed systems.
• Research data & computing infrastructure: Simula provides access to specialized research datasets, high-performance computing resources, and data-intensive modeling environments.
• Strong link between research and application: Many projects are closely tied to industry or healthcare, for example in the areas of digital twins, cardiac simulations, or AI in medicine—with high international visibility. 

Norwegian Computing Center

The Norwegian Computing Center (NR) in Oslo is a research institute specializing in applied information technology. Since its founding in 1952, NR has established itself as a key interface between academia, industry, and the public sector—with the goal of translating data-driven innovations into practice.

What makes NR stand out:

• Excellence in AI, statistics, and data science:
  NR brings together deep expertise in artificial intelligence, machine learning, statistical modeling, and software development. Its research spans explainable AI, deep learning, and probabilistic methods, always with a focus on socially and industrially relevant applications.

• Application-oriented through industry collaboration:
  Whether in energy, environment, healthcare, maritime technologies, or security, NR develops tailored solutions in close cooperation with partners from industry and the public sector—often involving real-time data and complex simulation models.

• Internationally connected and EU-savvy:
  As an active participant in numerous EU research projects and a member of international consortia, NR operates at the forefront of European technology development. Its focus lies on open data, reproducibility, and sustainable innovation.

• State-of-the-art infrastructure for data-intensive research:
  NR offers access to high-performance computing clusters, specialized labs, and digital test environments—ideal conditions for interdisciplinary research, agile prototyping, and scalable modeling.

University of Inland Norway

The University of Inland Norway is a university with campuses in Lillehammer, Hamar, Elverum, Rena, and other locations throughout the Innlandet region. It combines technological research, social responsibility, and strong regional engagement.

What makes INN unique:

• Expertise in Artificial Intelligence and Data-Driven Innovation:
  INN University is actively building competencies in areas such as machine learning, data science, Internet of Things (IoT), and explainable AI. Many of its digital transformation projects—in fields like public administration, education, and healthcare—rely on data-driven methods and simulation-based decision systems.

• Interdisciplinary research with a social focus:
  At INN, technology is never developed in isolation. AI research is closely linked to psychology, social sciences, and education studies. The result: data-based models for promoting mental health, algorithms for inclusive education, and ethical guidelines for the use of AI in public services.

• Regional testbeds for smart solutions:
  In collaboration with municipalities, schools, and regional organizations, INN develops and evaluates real-world scenarios for the use of smart technologies, e-health applications, and decision-support systems—creating a living lab for applied digitalization.

• International networks with a tech focus:
  INN is an active participant in European research clusters and Horizon projects, working on topics such as trustworthy AI, smart governance, and sustainable digitalization. Both students and researchers benefit from cross-border collaborations, open data initiatives, and partnerships with technical universities worldwide.

Kristiania University of Applied Sciences

Kristiania University of Applied Sciences is a modern university with campuses in Oslo, Bergen, and a strong digital learning platform. It combines practice-oriented education, applied research, and creative disciplines in an innovation-driven learning environment. As a private, non-profit institution, it places strong emphasis on individual support, societal relevance, and entrepreneurial thinking.

What makes the university stand out:

• Innovative integration of technology, business, and creativity:
  Kristiania actively promotes degree programs and research at the intersection of artificial intelligence, business analytics, design, and communication. Projects range from data-driven marketing and smart organizational models to AI-assisted storytelling and digital journalism.

• Focus on applied digitalization in business and society:
  In collaboration with startups, established companies, and public stakeholders, Kristiania develops practical solutions in areas such as digital business models, remote work, customer experience analytics, and workforce automation.

• Entrepreneurship and the creative industries as core strengths:
  The university is known for its programs in innovation, music, film, game design, and digital arts—with strong ties to Norway’s creative economy. Students launch startups, organize festivals, or produce interactive media projects.

• Data-driven research with social impact:
  Kristiania develops data science methods not only for business applications but also for analyzing societal trends, social dynamics, and communication processes. Research projects explore topics such as bias in algorithms, user behavior in digital spaces, and the impact of data-driven decision support in healthcare and education. Interdisciplinary approaches from statistics, computer science, sociology, and ethics are frequently used.

University of South-Eastern Norway

The University of South-Eastern Norway (USN) is a public university with eight campuses and a strong focus on applied research and innovation. As one of Norway’s largest universities, it combines academic excellence with societal relevance, working closely with industry, municipalities, and public institutions.

What makes USN stand out:

• Interdisciplinary research with real-world impact:
  USN conducts research at the intersection of technology, health, education, sustainability, and the social sciences. The university emphasizes practice-oriented research that addresses tangible challenges in society and industry—from green energy to digital education.

• Close collaboration with industry:
  With strong regional ties, USN co-develops tailored solutions with businesses in areas such as industrial digitalization, mechatronics, energy efficiency, and nursing science. Many projects are based on co-creation and real-world use cases.

• Strong expertise in data science and AI:
  USN is actively building competencies in artificial intelligence, machine learning, and data-driven decision-making. Research topics include explainable AI in medicine, smart sensor networks, and data-driven optimization in manufacturing and energy—with a focus on ethical, transparent, and sustainable applications.

• European networks and project leadership:
  USN is an active participant in European research programs such as Horizon Europe and coordinates several transnational innovation projects. Key areas include sustainable development, regional innovation systems, and entrepreneurship support.

• Excellent infrastructure for applied research:
  USN offers state-of-the-art laboratories for prototyping, robotics, hydrogen technologies, and healthcare simulation. A particular focus is placed on connecting research, education, and entrepreneurial thinking—through living labs, incubators, and innovation centers.

University of Stavanger

The University of Stavanger (UiS) is a research-intensive and internationally oriented university located on Norway’s southwest coast. With a clear focus on sustainability, digitalization, and innovation promotion, UiS actively shapes societal transformation—working closely with industry, public institutions, and international partners.

What makes UiS stand out:

• Expertise in energy, environment, and technology:
  UiS is renowned for its strong research in energy (including oil, gas, hydrogen, and renewables), marine and environmental sciences, and industrial digitalization. Teaching and research are closely linked to the regional energy industry.

• Applied AI and data science research:
  The university strategically invests in artificial intelligence, big data, and machine learning—for example, in the context of energy optimization, smart cities, sustainable mobility, and health data. Projects span deep learning, predictive modeling, and responsible AI in social systems.

• Industry-oriented innovation:
  In close collaboration with companies, startups, and public actors, UiS conducts practice-based research—e.g., through the Innovation Park Stavanger or co-creation projects with the maritime industry, healthcare sector, and IT companies.

• Internationally connected and engaged in Europe:
  UiS is an active partner in European research networks such as Horizon Europe, COST, and Erasmus+. The university coordinates and participates in projects on green transformation, digitalization, educational technologies, and citizen science.

• Cutting-edge infrastructure for applied research:
  With facilities such as the Norwegian Smartgrid Laboratory, a drilling simulation center, test fields for offshore technologies, and living labs for education and nursing sciences, UiS offers outstanding conditions for transdisciplinary research and innovation-driven teaching.

University of Oslo

The University of Oslo (UiO) is Norway’s oldest university. Its strength lies in combining deep fundamental research with a strong commitment to actively shaping the pressing questions of the future—across society, policy, and technological development.

What makes the University of Oslo stand out:

Data Science, AI, and Computational Science

At UiO, data science is not seen as merely a technical tool but as an interdisciplinary driver of insight—from medical diagnostics and climate modeling to ethical questions in AI usage. Research groups at the Faculty of Mathematics and Natural Sciences, as well as at specialized centers such as dScience – Centre for Computational and Data Science, develop innovative methods in machine learning, semantic modeling, explainable AI, and high-performance computing.

STEM as a Catalyst for Transformation

Mathematics, computer science, natural sciences, and engineering (STEM) at UiO are understood not only as the foundation of technological progress but also as critical disciplines for addressing complex global challenges. Whether in energy and environmental research, quantum-based systems development, or the design of resilient urban infrastructure, STEM research at UiO is theoretically strong, internationally connected, and future-oriented.

Science – Society – Technology Nexus

With a strong foundation in the humanities and social sciences, UiO approaches digital technologies in their societal context:

• How does AI influence our legal system?

• What is the role of algorithmic ethics in medicine?

• What does data-driven policymaking mean for democratic processes?

Such questions are explored through dialogue between researchers, policymakers, and civil society—in an interdisciplinary, critical, and responsible manner.

Digital Research Ecosystems and Open Science

UiO is a pioneer in the development of digital research infrastructures, FAIR data practices, and open science. Through cloud services, repositories, research data centers, and national platforms, UiO promotes reproducible research, interdisciplinary modeling, and the open exchange of knowledge.

NORCE Norwegian Research Centre AS

NORCE is one of Norway’s leading independent research institutes—interdisciplinary, application-oriented, and strategically networked. With locations across the country and more than 800 employees working in the natural sciences, engineering, social sciences, and health sciences, NORCE brings science to where it is needed most: in the energy transition, digital transformation, climate resilience, and medical innovation.

What makes the institute stand out:

Data Science and AI: Scalable solutions for real-world systems

Whether it's ecosystem monitoring, digital health applications, or the optimization of industrial processes, NORCE consistently applies artificial intelligence and data-driven modeling to better understand and strategically influence complex systems. Research spans from edge-based AI and predictive analytics in energy infrastructure to multi-scale climate simulations—with a strong emphasis on transparency, robustness, and operational feasibility.

Natural and technical sciences as a foundation for systemic innovation

NORCE views mathematics, natural sciences, and engineering as essential drivers of future-proof transformation—whether in developing robotic systems for extreme environments, geophysical resource modeling, or the design of sustainable energy systems. Methodological strengths include numerical simulation, sensor integration, quantitative uncertainty analysis, and data-driven system design.

Open platforms, networked research, and digital testbeds

From digital twins for energy planning to virtual testing environments for healthcare solutions, NORCE operates state-of-the-art computing, modeling, and simulation platforms. This infrastructure enables agile development, multidisciplinary collaboration, and the translation of complex models into application-oriented tools for decision-makers.

Østfold University College

Østfold University College (HiØ) is known for its practice-oriented research culture. With two campuses in Halden and Fredrikstad, HiØ combines technological innovation with a strong commitment to social responsibility, educational equity, and regional development. The university offers a diverse research profile, spanning from computer science and engineering to nursing, social work, languages, and the arts.

What makes this university particularly interesting:

Data Science and AI in a Societal Context

HiØ takes an interdisciplinary approach to research on artificial intelligence, machine learning, and data science. Applications range from predictive analytics in education and smart assistance systems in healthcare, to algorithmic text processing in linguistics. Technical methods are always considered through the lens of ethics, transparency, and social impact.

Digital Education and Transformative Didactics

A central research focus lies in advancing teaching and learning processes in digital environments. HiØ conducts research on personalized learning environments, intelligent feedback systems, and evidence-based higher education didactics. It also explores the role of digital media in early childhood education and language acquisition—often in close collaboration with schools, educational institutions, and local partners.

Health, Nursing, and Quality of Life

In health sciences, HiØ emphasizes practice-based studies on nursing innovation, digital healthcare, mental health, and social inclusion. Projects on community psychiatry, elder care, and intercultural aspects of nursing reflect the university’s aim to apply research directly to everyday societal challenges.

Culture, Language, and Society in Transition

The university also conducts robust research in areas such as interculturality, multilingualism, gender studies, arts education, and democratic education. Social transformation is approached as a cultural process, explored through qualitative, empirical, and reflective methods, often with participatory approaches.

Regional Impact, International Outlook

HiØ serves as an innovation partner in the Østfold region—collaborating with SMEs, schools, and the healthcare sector. At the same time, the university is active in European networks (e.g., Erasmus+, Horizon Europe) and prioritizes international cooperation in fields such as sustainable development, digital inclusion, and open science.

Western Norway University of Applied Sciences (HVL)

BI Norwegian Business School

Die BI Norwegian Business School ist eine der führenden Wirtschaftshochschulen Europas und Norwegens wichtigste private Institution für forschungsbasierte Management- und Sozialwissenschaften. Mit ihrem Sitz in Oslo und weiteren Standorten im ganzen Land steht BI für exzellente Forschung, internationale Perspektive und eine klare gesellschaftliche Verantwortung. Im Zentrum steht die Frage: Wie lässt sich wirtschaftliches Handeln zukunftsfähig, datengestützt und wertebasiert gestalten?

Was die Einrichtung so besonders macht: 

Data Science und KI im Dienst strategischer Entscheidungen

BI integriert Data Science, Künstliche Intelligenz und Machine Learning konsequent in wirtschaftswissenschaftliche Forschung und Lehre. Dabei geht es nicht nur um technische Exzellenz, sondern um strategische Anwendung: Wie verändern Algorithmen Entscheidungsprozesse in Unternehmen? Welche Rolle spielen Datenethik und Fairness in KI-gestützten Geschäftsmodellen? Forschungsprojekte zu Explainable AI, datengetriebenem Marketing, Finanzanalytik oder Verhaltensökonomie an der Schnittstelle zu maschinellem Lernen zeigen: BI denkt KI nicht als Selbstzweck, sondern als Werkzeug für verantwortungsvolles Management.

Digitale Ökonomie, Plattformlogiken und Innovationsstrategien

BI erforscht die Mechanismen digitaler Märkte, disruptiver Geschäftsmodelle und technologiebasierter Innovation – mit besonderem Fokus auf Plattformökonomie, FinTech, datenbasierter Wertschöpfung und organisationaler Agilität. Die Schule bringt technologische und ökonomische Perspektiven in Dialog, etwa in der Analyse von Blockchain-Anwendungen, Nachhaltigkeitsreporting oder KI-gesteuerten Lieferketten.

Nachhaltigkeit, Governance und wirtschaftliche Verantwortung

Wirtschaftliches Denken wird an BI konsequent mit sozialen, ökologischen und ethischen Dimensionen verbunden. Die Forschung adressiert Themen wie ESG-Reporting, Impact Investing, nachhaltige Unternehmensführung oder Klimastrategien in Finanzinstitutionen. Dabei steht stets die Frage im Mittelpunkt: Wie können Märkte zur Lösung gesellschaftlicher Herausforderungen beitragen?

Gesellschaft, Politik und ökonomische Machtverhältnisse

BI engagiert sich auch in der interdisziplinären Analyse von Regulierung, Politikgestaltung und Governance. Forschung zu Steuerpolitik, Arbeitsmarktregulierung, digitaler Souveränität oder Lobbyismus macht deutlich, dass wirtschaftliches Handeln stets eingebettet ist in rechtliche, kulturelle und politische Kontexte. Die Verknüpfung von betriebswirtschaftlicher Analyse mit soziologischer, juristischer und politikwissenschaftlicher Reflexion ist ein Markenzeichen der Schule. 

SINTEF

SINTEF ist eines der größten unabhängigen Forschungsinstitute Europas und ein zentraler Innovationsträger Norwegens. Mit über 2000 Mitarbeitenden und einer außergewöhnlich breiten thematischen Aufstellung vereint SINTEF angewandte Spitzenforschung mit industrieorientierter Entwicklung, gesellschaftlicher Verantwortung und technologischer Pionierarbeit.

Was SINTEF so besonders macht: 

Data Science und KI als infrastrukturelle Intelligenz

Ob smarte Energienetze, autonome Schiffe, medizinische Diagnostik oder klimabewusste Stadtentwicklung – Datengetriebene Modelle, KI und Machine Learning sind heute integrale Bestandteile nahezu aller Forschungsbereiche bei SINTEF. Die Bandbreite reicht von Deep Learning in der Bildverarbeitung über probabilistische Modellierung in der Werkstoffforschung bis hin zu erklärbarer KI in sicherheitskritischen Umgebungen. SINTEF arbeitet daran, digitale Intelligenz robust, transparent und vertrauenswürdig zu gestalten – nicht nur technisch, sondern auch gesellschaftlich eingebettet.

Interdisziplinäre Exzellenz von der Molekularstruktur bis zum globalen Energiesystem

Die Forschungsfelder bei SINTEF reichen von Nanoelektronik, CO₂-Abscheidung und Materialwissenschaften über Robotik, Meeresbiologie und Aquakultur bis zu industrieller Automation, Geotechnik und nachhaltiger Mobilität. Dabei bilden die Natur- und Technikwissenschaften das Fundament für systemische Innovation – verbunden mit Simulationsmethoden, physikalisch-basierter Modellierung und digitaler Zwillinge für Industrie 4.0 und Beyond.

Gesellschaftliche Relevanz durch angewandte Forschung

SINTEF entwickelt nicht nur Technologien, sondern forscht gezielt an deren gesellschaftlicher Wirkung. Wie können KI-Systeme inklusiv gestaltet werden? Welche Rolle spielen sozio-technische Schnittstellen in der Energietransformation? Wie lässt sich Digitalisierung in Bildung, Verwaltung und Gesundheit menschengerecht und ethisch umsetzen? Die Einbindung sozialwissenschaftlicher Perspektiven – etwa in der Technologieakzeptanzforschung, Genderanalyse oder partizipativen Infrastrukturentwicklung – ist integraler Bestandteil vieler SINTEF-Projekte.

Offenheit, Zusammenarbeit und internationale Wirkung

SINTEF arbeitet in offenen Innovationsökosystemen, in enger Zusammenarbeit mit Universitäten (insbesondere NTNU), internationalen Partnern, Industrie und Behörden. Forschungsdatenmanagement, Reproduzierbarkeit und langfristige Skalierbarkeit sind nicht bloß Prinzipien – sie strukturieren Projektarchitekturen ebenso wie interne Forschungsrichtlinien. Als gemeinnützige Stiftung reinvestiert SINTEF sämtliche Gewinne in Forschung und Innovation.

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