NTNU, Norway invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at NTNU, Norway.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in History
Gifting a baby with a personal name is a universal cultural phenomenon that is attached with a profound symbolical value. Although the pool of potential names is theoretically infinite, the range of names traditionally used has been quite limited because the choice of a specific name was bound by existing cultural practices. In historical Europe, for instance, many children were named after their close relatives or cherished religious figures. The weight of tradition therefore implied that many individuals shared the same names, a circumstance that was transmitted across generations. Parents had nonetheless the last word and the degree to which they conform to those practices speaks a great deal about their cultural identity and preferences. Indeed, the stock and variety of names expanded, slowly and unevenly, from the 18th century onwards as the importance of religious considerations and the need to transmit names within families declined in response to the underlying societal changes that Europe was undergoing. Naming practices thus reflect the cultural context underpinning a particular society, together with the values and beliefs of the parents themselves, thus offering a unique opportunity to study cultural variation, persistence and change. Likewise, given that names provide crucial insights about parental values and beliefs, they can shed light on how cultural factors may have influenced the way parents raised their children (i.e. the care they devoted to their children, the importance they attached to education, etc.).
This project therefore uses the information contained in names as expressions of parental values and beliefs, as they signal the importance that families attached to religious values, family ties, political beliefs, and gender roles, among other dimensions. Relying on individual-level information contained in parish and civil registers and population censuses (and other historical sources), the project seeks to:
- Trace the relative importance of different naming practices in Europe (circa 1750-1950).
- Analyse the dimensions that explain the variation in naming practices, not only across regions and over time, but also between families.
- Explore how culture helps shedding light on how parents raised their children and therefore shaped their individual outcomes (i.e. infant and child mortality, education, heights, marriage age, etc.).
Proposals are welcome for any European region and period. As well as the main research questions, the project description should describe both the source material and the methodology.
Deadline : 15th March 2026
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in low-trophic aquaculture
The project GP CIRCFeed – Circular Low Trophic Feed Production from Industrial Sidestreams, funded by The Green Platform Initiative at the Research Council of Norway, aims to establish the production of low-trophic biomass by utilizing available biological waste resources and other industrial side-streams for the cultivation of polychaete worms and microalgae. The project addresses two major challenges:
- Improving Norway’s self-sufficiency in the production of feed raw materials
- Reducing environmental impacts by valorizing industrial sidestreams
The consortium includes NTNU, SINTEF Ocean, Nord University, industry clusters, food producers and several aquaculture and feed industry partners. The PhD candidate will work closely with biologists, engineers, and industry stakeholders, both in Trondheim and at Tjeldbergodden. The PhD candidate will contribute to developing sustainable feed ingredients through circular production of polychaetes and microalgae, by utilizing nutrient-rich side-streams, CO₂, and waste heat from industries based within or in close proximity to Tjeldbergodden Biopark. The focus of the work of the PhD-candidate will be to utilize wastes from aquaculture production to cultivate polychaetes and microalgae. The candidate will be supervised by scientific personnel at NTNU and SINTEF Ocean with long-standing records and experience in both fields.
Deadline : 15th February 2026
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Sustainable and Cement-Free Marine Materials
The HAPMarine project aims to address coastal ecosystem collapse and reduce reliance on carbon-intensive, concrete-based marine infrastructure. It pioneers circular-economy solutions by upcycling Norway’s abundant calcium-rich waste streams—aquaculture shells and demolition concrete—into bioreceptive, low-carbon, and high-strength materials. The project involves key partnerships, including experts from the University of Tokyo and NIVA (Norwegian Institute for Water Research), working together to achieve the project’s objectives.
Deadline : 15th February 2026
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Impact Evaluation of Welfare Programs
The PhD position is funded by the WelGain project, financed by the Research Council of Norway. The WelGain project studies why the public debate about welfare often focuses more on the costs than on the benefits. Our goal is to develop a framework that helps researchers and policymakers measure both the visible and the hidden gains of welfare programs. We combine theory with data to evaluate how social policies contribute to sustainable welfare systems, economically and socially. By highlighting both costs and benefits, WelGain aims to promote a more balanced understanding of welfare policy and contribute to a debate that values social inclusion and long-term sustainability.
The candidate will become an active member of the research group on Migration and Welfare studies. The research group consists of internationally merited researchers within economics, sociology and social work. More information about project partners is available on the project website here: https://www.ntnu.edu/isa/welgain
Deadline :15th February 2026
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Education: Writing, assessment and learning in the Context of Generative AI
This PhD fellowship is part of the national AI Centre for the Empowerment of Human Learning (AI LEARN).
Artificial intelligence is rapidly transforming how we learn, work, and participate in society. While these developments present significant opportunities, they also raise challenges that require a responsible and research-based approach.
As humans and AI learn together, create together, and lead together, the foundations of education, work, and civic life are being reshaped. AI LEARN brings together researchers and partners across disciplines and sectors to explore how AI can be used in inclusive, ethical, and sustainable ways – with the goal of strengthening human agency and democratic participation in an AI-driven society.
This PhD position is affiliated with Cluster 5 of AI LEARN, which focuses on identifying learning and competence development needs among students, teachers, school leaders, and other educational stakeholders. The cluster emphasizes AI literacy, professional development, and the design of data-informed learning environments that promote inclusion, equity, and the ability to act critically and responsibly in the face of AI technologies.
The PhD project will focus on how generative AI challenges existing practices and understandings of writing, assessment, and learning in education. There is also room to explore adjacent themes such as language education, literacy, professional development, or leadership in the context of AI, depending on the candidate’s academic background and interests.
As generative AI is increasingly adopted in educational settings, established understandings of disciplinary writing, learning, and assessment are being questioned. This raises new pedagogical and ethical issues and creates a need for research-based knowledge that can support teachers, students, and other stakeholders in using AI in responsible, pedagogically sound, and future-oriented ways.
The project should address both the opportunities and challenges that emerge in the interaction between humans and AI, and will contribute to the ethical, inclusive, and educationally meaningful integration of generative AI in writing instruction, assessment and subject-specific learning.
In addition to this focus, the project may also include an initial mapping of how generative AI is currently being used in education. Such a mapping can provide valuable insights into current practices and serve as a foundation for further case studies or design interventions.
The candidate will also participate in ongoing research in schools and teacher education and work closely with other researchers in AI LEARN.
Deadline : 15th February 2026
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(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Cybersecurity and Human-AI Teaming for Critical Infrastructures
Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia.
The position is a part of the HAT-CI project (Human-AI Teaming Framework in Cyber Security for Critical Infrastructures: Enhancing Resilience and Autonomy), funded by the Norwegian Research Council (RCN) for 2025–2029.
The HAT-CI project addresses critical gaps in cybersecurity by developing a novel framework for human-AI collaboration in Security Operations Centers (SOCs) protecting critical infrastructures. Rather than relying on AI systems alone or purely human oversight, HAT-CI advances the paradigm of adaptive, ethically grounded human-AI teams. The project tackles persistent challenges such as high false-positive rates, limited AI adaptability to evolving threats, and poor contextual awareness by integrating human expertise with AI capabilities.
The project is led by the Institute for Energy Technology (IFE) in collaboration with NTNU, in partnership with industry leaders (NC-Spectrum, Netsecurity) and the Norwegian Centre for Cybersecurity in Critical Sectors (SFI-NORCICS).
Your immediate leader is the Head of the Information Security unit at Department of Information Security and Communication Technology. The place of work will be campus Gjøvik.
Deadline : 10th February 2026
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD in design and modeling of energy security aspects in hydro-dominated power systems
The position will be part of FME RenewHydro, which is a Center for Environment-friendly Energy Research (FME). The center aims to develop knowledge and solutions that enable flexible hydropower to support the realization of energy transition and achieve national energy, climate, and environmental goals.
Within RenewHydro, researchers in technology, biology, climate and economics collaborate with experts from the hydropower industry and administration to address key challenges in the energy field. The center will strive to develop solutions for a low-emission society and enhance business innovation. The center brings together 7 Norwegian research partners, 3 international research partners and 29 user partners, and the center period is 2025-2032. NTNU leads the center and the main research partners are the Norwegian School of Business (NHH), the Norwegian Institute for Natural Research (NINA) and SINTEF Energi.
This PhD-position will be a part of the RenewHydro research project ‘Provision of energy security and adequacy from hydropower’. The candidate will work closely together with researchers at SINTEF Energi through this project. The doctoral candidate is expected to investigate design principles and modeling techniques for incorporating energy security aspects in scheduling models suited for analyzing the hydro-dominated Nordic power system. This research will involve mathematical programming, including modeling of the hydropower system and stochastic optimization methods.
As a RenewHydro-funded PhD candidate, you will take an active part in the research activities. You will have access to a forum with other PhD candidates affiliated with the center, and opportunities for research stays with partners, both nationally and abroad, through its international network. The results of the project are expected to be published in reputable scientific journals and conferences and presented within the center.
The PhD main supervisor is Professor Arild Helseth, and the co-supervisor is Professor Magnus Korpås, both at the Department of Electric Energy, NTNU.
Deadline : 9th February 2026
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Medicine and Health Sciences
We are seeking a highly motivated PhD candidate to join our dynamic research environment at the Department of Clinical and Molecular Medicine (IKOM), Faculty of Medicine and Health Sciences at the Norwegian University of Science and Technology (NTNU) in Trondheim. The position is for a period of 3 years. The PhD candidate will work on a project lead by Dr. Kristin Roseth Aass, researcher on Centre for Myeloma Research in Trondheim. The center brings together researchers and clinicians at NTNU and St. Olav´s University Hospital and do clinical, translational and basic research on the cancer Multiple Myeloma, an incurable blood cancer arising in plasma cells in the bone marrow.
IKOM is the faculty´s largest department with around 450 employees. IKOM is physically integrated with St. Olav’s University Hospital, providing unique opportunities for close collaboration between clinical practice and academic research.
Deadline :8th February 2026
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Systemic Risk and Safety of Emerging Energy Technologies
The Department of Mechanical and Industrial Engineering (MTP) at the Norwegian University of Science and Technology (NTNU) has a vacancy for a PhD Candidate in systemic risk and safety of emerging energy technologies. The position is affiliated with the Reliability, Availability, Maintainance and Safety (RAMS) research group and offers a unique opportunity to work at the intersection of risk analysis, energy transition, and data-driven safety research.
Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia.
Deadline : 4th February 2026
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Work and Organizational Psychology
We have a vacancy for a three-year PhD candidate at the Department of Psychology. This PhD project is embedded in Work and Organizational Psychology and forms part of the ‘CAI-BLUE’ project: Nordic Perspectives on Collaborative AI for Blue-collar Work. The PhD will develop and test a flexible evaluation framework for AI agents introduced into blue-collar workplaces (e.g., manufacturing, logistics, repair, and food processing). Focusing on workers’ experiences, the project will identify which contextual and psychosocial factors shape how employees perceive and respond to AI-supported collaboration. Therefore, there will be a human-computer interaction dynamic to this PhD.
Drawing on theories such as Self-Determination Theory and implementation science, the PhD will combine quantitative and qualitative methods (e.g., surveys, interviews, observations, and case studies) to: (1) map organizational readiness and existing practices around AI, (2) assess proximal outcomes such as trust in AI, perceived usefulness, collaboration dynamics, and autonomy, and (3) examine longer-term effects on wellbeing, work engagement, and perceived work ability. The aim is to understand what works, for whom, and under which conditions when collaborative AI agents are introduced in blue-collar settings, and to translate this into practical tools and guidelines for responsible, worker-centred AI adoption in the Nordic labour market.
As the project is time sensitive, the starting date for the candidate is as soon as possible. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. The objectives and the research questions of the PhD project will be developed in consultation with the supervisors during the first months of the position.
Your main supervisors will be Leon De Beer and Marit Christensen, experts in the field of Work and Organizational Psychology. However, other supervisors might be added from the project partners as required.
Deadline :1st February 2026
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Unified Autonomy across Robot Configurations
Robotic autonomy still lacks a universal architectural blueprint capable of operating across the wide diversity of robot configurations found in aerial, ground, and aquatic domains. Today’s autonomy stacks remain highly specialized to each morphology, in sharp contrast to the conserved neural organization of the mammalian brain, which provides a common computational blueprint across species despite profound differences in body plan and ecological niche. Motivated by this analogy – and building on recent advances in foundation models, neural model predictive control, and robotic world models – this PhD project will investigate principles and mechanisms for a shared autonomy architecture that generalizes across embodiments. The overarching ambition is to advance the foundations of a universal science of embodied AI, where perception, action, and learning are co-designed to support intelligent behavior in robots of fundamentally different forms.
The PhD candidate will be supervised by Kostas Alexis, head of the Autonomous Robots Lab (ARL), and the position is part of the recently-funded Norwegian Centre for Embodied AI.
Deadline :1st February 2026
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Underwater Foundation Models
Foundation models represent one of the most promising avenues pushing the frontier of robot autonomy. Aiming to break new ground this PhD project focuses on developing novel foundation models for underwater robot perception and navigation. The aim is twofold: to advance foundation-model capabilities within the underwater domain, and to ensure that a unified modelling approach can operate across robot embodiments – air, ground, and marine. Achieving this requires new simulation tools, scalable neural architectures for perception and navigation that generalize across robot types, modeling of light effects underwater, and high-quality underwater datasets, both synthetic and real. The project will leverage the extensive underwater robotics infrastructure at NTNU and the Norwegian Centre for Embodied AI.
The PhD candidate will be supervised by Kostas Alexis, head of the Autonomous Robots Lab (ARL), and the position is part of the recently-funded Norwegian Centre for Embodied AI.
Deadline : 1st February 2026
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Risk monitoring and Visualization for Human Supervisors of Autonomous Systems
Would you like to contribute to safe human-autonomy interaction in complex robotic operations?
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
The Department of Marine Technology has a vacant 3-year PhD position at the Faculty of Engineering in fundamental research on risk assessment and decision support for autonomous systems. The position is funded by the ERC AdG Breach, and will focus both on researching theory and performing experiments. The goal of Breach is to realize risk-based rationality in autonomous systems to achieve more proactive and intelligent behaviours, improve system safety, and leave the human supervisor with enough time to react and intervene efficiently when needed.
Close cooperation is expected with the other Post Doc and PhDs in the interdisciplinary project.
Your immediate leader is the supervising Professor, and your Line Manager is Head of Department.
Deadline : 1st February 2026
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Networked systems for AI-ready Industrial IoT and OT
We invite applications for a fully funded PhD position on the networked systems mechanisms, data paths, and open interfaces needed to support safe and efficient use of Generative AI (GenAI) and agentic AI in Industrial Internet of Things (IIoT) and operational technology (OT) environments.
Modern OT installations—such as factories, utilities, transport, and pipelines—are highly networked, yet strictly segmented into layers and zones to protect safety, reliability, and regulatory compliance. Control networks are isolated from enterprise IT and the internet, and cross-zone connections are few, tightly governed, and often one-way (e.g., via data diodes). At the same time, these infrastructures are typically multi-vendor: operations depend on equipment, software, and tooling from several vendors, each with their own management interfaces, data formats, and access restrictions.
In parallel, AI-driven services are increasingly deployed in a distributed fashion, with inference spread across cloud, enterprise domains, and edge locations close to data sources and users. For OT and IIoT, this raises fundamental systems questions:
- Where should AI-related components be placed (cloud, enterprise, DMZ, OT edge) to balance latency, bandwidth, resilience, and regulatory constraints?
- How can we move data and decisions across segmented, multi-vendor networks without violating safety and policy constraints?
- Which mechanisms, abstractions, and open interfaces are needed so that OT data and functions can be safely exposed to AI-supported services today, and so that future OT systems can evolve towards more “AI-ready” designs?
In this context, GenAI-based assistants (for understanding manuals, procedures, and logs) and agentic AI (for decomposing high-level operational goals into safe, ordered interactions with tools and data sources) serve as motivating examples of demanding, data-hungry services that stress the underlying infrastructure.
The core research focus of the PhD is on systems and infrastructure: architectures, data paths, interfaces, and enforcement mechanisms that allow such services to operate safely and efficiently in real OT/IIoT environments.
Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia.
Your immediate leader is the Head of the Communication Technology unit at Department of Information Security and Communication Technology.
Deadline : 1st February 2026
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Building Integration of Solar Cells
The Department of Civil and Environmental Engineering, NTNU, has a vacancy for a PhD candidate in building integration of solar cells.
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
The PhD candidate position is foreseen to carry out experimental laboratory and field work on building integration of solar cells. This research work will be carried out within the project ”A Toolkit for Sustainable Photovoltaics Integration in the Norwegian Built Environment” (SolKit) funded by the Research Council of Norway and several industrial and other partners.
The primary objective of the SolKit project is to facilitate the widespread adoption of building integrated photovoltaics (BIPV) in the Norwegian built environment. The SolKit project entails overcoming barriers linked to Norwegian conditions while addressing societal needs, economic goals and sustainability challenges. Furthermore, SolKit aims to develop essential knowledge and tools specifically tailored to address the conditions hindering the broad acceptance and deployment of BIPV technologies in Norway.
Deadline : 1st February 2026
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Theoretical Physics
A PhD position is available in the Sukhachov’s research group which is part of the Center for Quantum Spintronics at the Department of Physics, NTNU in Trondheim, Norway. The candidate will join and become part of an international research environment in quantum condensed matter theory and experiments. Please see Center for Quantum Spintronics (QuSpin) – NTNU for more information.
Deadline : 31st January 2026
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Theoretical Condensed Matter Physics
The PhD project will investigate quantum many-body phenomena in novel two-dimensional magnets, unconventional magnetic systems, and topological materials. The candidate will develop and apply advanced quantum field theoretical and phenomenological frameworks to explore the rich interplay between different collective excitations, magnons, phonons, plasmons, and excitons. A related research direction involves studying the coupling of these collective excitations with Cooper pairs in superconductors and electromagnetic fields in cavity QED setups. The project aims to understand how such interactions influence quantum transport, topology, entanglement and correlations of various bosonic and fermionic modes, nonequilibrium ultrafast dynamics, and emergent phenomena in these complex quantum materials.
This project offers the opportunity to address fundamental questions at the forefront of condensed matter physics, while translating theoretical insights into experimental platforms with high potential impact on emerging quantum technologies and the development of energy-efficient spintronic devices.
Deadline : 31st January 2026
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Computational Condensed Matter Physics
The PhD project will explore quantum many-body phenomena in emerging two-dimensional magnets, unconventional magnetic systems, and topological materials. The candidate will develop and apply advanced computational techniques, including (TD)DFT and post-DFT analyses, alongside spin dynamics simulations. The primary goal is to investigate how collective excitations and topological effects influence quantum transport and dynamical properties in quantum materials.
This project provides the opportunity to tackle fundamental questions at the forefront of condensed matter physics, while connecting computational insights to potential experimental realizations with significant impact on emerging technologies and the design of energy-efficient spintronic devices.
Deadline :31st January 2026
(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Mathematical Sciences
We have a vacancy for a PhD fellowship at the Department of Mathematical Sciences.
Through a PhD fellowship, you will pursue a doctoral education leading to a PhD degree.
The Department of Mathematical Sciences at NTNU is Norway’s largest university environment within mathematical sciences with 75 permanent staff members and more than 55 doctoral students and postdoctoral fellows.
The Department conducts research at an international high level within the disciplines of algebra, analysis, didactics of mathematics, differential equations, geometry/topology, numerical analysis, optimization, and statistics. Part of the research is also carried out in close cooperation with other fields of science and technology at NTNU, as well as in cooperation with industry and external research institutions.
The Department of Mathematical Sciences wants to support excellent and highly motivated candidates within any of the Department’s main research disciplines. For further information about the different research disciplines see https://www.ntnu.edu/imf/research.
Are you motivated to take a step towards a doctorate and open exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia.
Your immediate leader will be the Head of Department. The successful candidate must start their position no later than September 2026.
Deadline : 31st January 2026
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Digital Twins for food safety
The Department of Mechanical and Industrial Engineering has a vacancy for PhD Candidate in Ant Digital Twins for food safety. This is a 3-year position linked to the D-CRISP project. The candidate is to research, develop and demonstrate a methodology for building and integrating digital twins along industrial food production industry to support local resilience and increase overall sustainability of the food supply chain.
A question You will be focusing on is “How digital twins can help humans to detect anomalies in food production and delivery chains?”
You will join an international community of PhD candidates working for the project in Norway, Finland, Estonia and Lithuania. You will have research visits and potentially also a dual degree with the selected project partners’ institutions.
Research areas will cover some of the following themes:
- Digital Twins and Internet of Things throughout food production value chain
- Human Digital Twins; Industry 4.0 and 5.0.
- System engineering and socio-technical systems
- AI-supported adaptive continuous learning
- Industrial cybersecurity, supply chain security
- Semantic modelling of industrial artefacts, knowledge representation and automated reasoning
Deadline : 31st January 2026
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Antagonistic threats-aware Digital Twins in product lifecycle
The Department of Mechanical and Industrial Engineering has a vacancy for PhD Candidate in Antagonistic threats-aware Digital Twins in product lifecycle. This is a 3-years position linked to the D-CRISP project. The candidate is to research, develop and demonstrate a methodology for building and integrating digital twins along product lifecycles to support detection and mitigation of potential antagonistic threats.
A question You will be focusing on is “How to use digital twins to detect potential intrusions and prevent disruptions during a product lifecycle?”
You will join an international community of PhD candidates working for the project in Norway, Finland, Estonia and Lithuania. You will have research visits and potentially also a dual degree with the selected project partners’ institutions.
Research areas will cover some of the following themes:
- Digital Twins and Internet of Things throughout product lifecycle
- Human Digital Twins; Industry 4.0 and 5.0.
- System engineering and socio-technical systems
- AI-supported adaptive continuous learning
- Industrial cybersecurity, supply chain security
- Semantic modelling of industrial artefacts, knowledge representation and automated reasoning
Your supervisor will be Associate Professor Andrei Lobov.
Your immediate leader will be the Head of Department.
Deadline :31st January 2026
About NTNU- Norwegian University of Science and Technology, Norway- Official Website
The Norwegian University of Science and Technology is a public research university in Norway with the main campus in Trondheim and smaller campuses in Gjøvik and Ålesund. The largest university in Norway, NTNU has over 8,000 employees and over 40,000 students. NTNU in its current form was established by the King-in-Council in 1996 by the merger of the former University of Trondheim and other university-level institutions, with roots dating back to 1760, and has later also incorporated some former university colleges. NTNU is consistently ranked in the top one percentage among the world’s universities, usually in the 101–500 range depending on ranking.
NTNU has the main national responsibility for education and research in engineering and technology, and is the successor of Norway’s preeminent engineering university, the Norwegian Institute of Technology (NTH), established by Parliament in 1910 as Norway’s national engineering university. In addition to engineering and natural sciences, the university offers higher education in other academic disciplines ranging from medicine, psychology, social sciences, the arts, teacher education, architecture and fine art. NTNU is well known for its close collaboration with industry, and particularly with its R&D partner SINTEF, which provided it with the biggest industrial link among all the technical universities in the world. The university’s academics include three Nobel laureates in medicine, Edvard Moser, May-Britt Moser and John O’Keefe.
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