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21 PhD Degree-Fully Funded at NTNU, Norway

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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 Candidate in Project management for sustainable health care environments

We are looking for a PhD candidate with a passion for sustainability and eagerness to develop deeper understanding of how practice can continue to implement sustainability in complex building construction projects. Our focus is on how hospitals in Norway can move in a more sustainable direction when financial resources are restricted and implement changes that ensure that built health care environments contribute to a sustainable, circular and regenerative world. Relevant themes for this PhD candidate include decision-making, users’ needs, innovation, organisational learning and the like. 

The candidate will have the opportunity to continue developing a framework for sustainability knowledge  to ensure it fits organizations who wants to develop and implement common understanding and actions within the built environment. The research shall have particular focus on health care facilities, such as hospitals. The focus for this PhD candidate is not directly related to the facilities and how to construct them. The focus is on understanding the perspectives of different roles and actors that links to this issue at hand. Based on this understanding it is expected that the PhD candidate develops frameworks and knowledge that others (later research projects and practitioners) can use to improve their strategies and processes and as such advance their journey towards a sustainable, circular and regenerative built environment. 

Researchers and construction industry actors have desire to create sustainable business models and value chains. Many innovative solutions and state-of-art ideas exist that tend to be expensive. The high cost makes the funding organizations reject such ideas and solutions, thereby hampering the transformation into a sustainable future. So, what can we do? What projects and actions are possible to implement? In this PhD project, we aim to develop deeper understanding for the possibilities enabling project owners to contribute to a sustainable built hospital environment when they are constrained by limited funding.

Deadline : 2nd September 2024

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in Environmental Humanities, Language Education and Artificial Intelligence

The Department of Teacher Education, Section for English and Foreign Languages, offers a full-time, 3-year position as a Ph.D. candidate to take part in the project “Climate Change, Language Education, and AI” in cooperation with the research group on technology and learning in education: NTED-DIGIT. The project leaders are Associate Professor Tom NurmiAssociate Professor Fredrik Mørk Røkenes,  and Postdoctoral Researcher Han Han.

Although AI has the potential to be a tool in climate modeling and remediation efforts, its extractive resource and supply chain costs, e-waste pathways, and carbon footprint actively contribute to pollution and global warming. This project examines how language education can be a site of critical information literacy around environmental climate research and the cost/benefits of AI technologies. The “Climate Change, Language Education, and AI” project explores how AI ed-tech (e.g., text-to-image generators DALL-E/MidJourney) influences students’ epistemic beliefs about environmental climate research and (mis)information in English in the school while also investigating the pedagogical potential of current trends in AI-climate-related natural sciences and humanities projects (e.g., biodiversity monitoring, pollution detection, AI in eco-literature, etc.).  

Deadline : 2nd September 2024

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(03) PhD Degree – Fully Funded

PhD position summary/title: Two PhD Candidates in Modern European Migration History

Migrants’ uneven access to social welfare is one of the most pressing concerns in today’s European Union. InternalFortress will uncover the role that this issue played in the early history of regional integration in the European Economic Community (EEC), focusing on social security, union participation, and skill development.

European rules on ‘freedom of movement’ allowed migrant workers from an EEC member state to claim social protection anywhere in the bloc. The PhD case studies will hone-in on one specific national context – either France or West Germany – to trace how these general rules that were set in Brussels were carried out or contested in practice. What steps were taken in national and local institutions to help European migrants gain access to social services on the ground or to block them from doing so?  Who participated in that process, for example, state administrators, employers, unions, NGOs, churches, or migrant-led mutual aid organizations? Did these actors differentiate between different groups of European and non-European migrants?  

The PhD fellows are encouraged to develop their own approach to these questions, for example by focusing on a particular group of migrants, a locality, an economic sector, or an organization. These in-depth national case studies will complement work by the PI on European and international migration policy and work by the project’s postdoc on Europe’s place in global NGO networks. The team members will work together to build a rich source base that will combine official documents with material from private associations such as Caritas or International Social Service. 

Deadline : 1st September 2024

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(04) PhD Degree – Fully Funded

PhD position summary/title: Ph.D. Candidate in Geography with a focus on Extreme weather-related Compound Hazards

We are looking for a motivated candidate with a keen interest in investigating and understanding the dynamic processes behind weather-related compound hazards that characterize the current changing climate. Understanding these compound weather events is crucial for assessing risks, preparing for impacts, and building better forecast models in the face of climate change and extreme weather conditions, as well as essential for identifying better adaptation strategies that enhance a more sustainable community resilience. 

The Ph.D. candidate will be part of the Spatial and Temporal Analytics research group. The group bases its core activities on the development of new or the adaptation of existing tools and techniques for spatio-temporal analytics, such as representation, exploratory visualization and theories and mathematical model development of spatio-temporal data. Support will be given also from members of the Earth Surface Science research group that works mainly in the physical geography domain, focusing on investigating causes, mechanisms and impacts of different environmental hazards.

Becoming a member of our research groups will make you part of an exciting and stimulating international and multidisciplinary academic environment, open and inclusive, with dedicated colleagues willing to support with theoretical and practical experience, for you to excel in your academic career.

Deadline : 29th August 2024

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(05) PhD Degree – Fully Funded

PhD position summary/title: Ph.D. Candidate in Work and Organizational Psychology

We have a vacancy for a four-year Ph.D. position at the Department of Psychology in the area of Work and Organizational Psychology. The Ph.D. student will take part in a research project focused on occupational anxiety and employee health promotion. Specifically, the successful candidate will contribute to developing a measure of occupational anxiety, investigating the predictors and outcomes of occupational anxiety longitudinally, and carrying out an intervention for occupational anxiety. Other aspects of job-related distress may be examined as well. 

We anticipate the starting date for the candidate to be early 2025. The candidate’s broader goal is to complete a doctoral education up to the validation of a doctoral degree. The specific objectives and research questions linked to the Ph.D. project will be developed in consultation with the supervisors during the first months of the doctoral training.

Deadline : 26th August 2024

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(06) PhD Degree – Fully Funded

PhD position summary/title: PhD position in artistic entrepreneurship

We are looking for applicants with a drive to explore, articulate and document the capacity of art and culture and creativity not only to adapt and contribute but to drive societal transformation processes. 

We think of artistic entrepreneurship as a dynamic agency that promotes innovative collaboration between artists, designers, researchers, public and private actors, and that transcends traditional boundaries to create new possibilities for action. Artistic entrepreneurship involves a collective effort to act together across sectors, disciplines, and society’s actors. Artistic entrepreneurship encourages shared response, shared production methods and creative solutions, and inspires individuals to address society’s most pressing challenges.

The PhD position will offer the successful candidate a unique opportunity to get involved in artistic research at the same time as they investigate the possibilities for entrepreneurship and innovation across disciplines with an artistic starting point. By building a bridge between the expertise at research environments in the NTNU department of design and the Trondheim academy of Fine art, the position will provide a comprehensive framework for examining the role of the creatives as entrepreneurs and change-makers in today’s society. The doctorate will support, unfold, and document the development of the joint master’s program in artistic entrepreneurship and give input to the Horizon Europe-funded research project PACESETTERS,

Deadline : 25th August 2024

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(07) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in Reference Systems for a Cyber-Physical Range

Cyber Physical Systems are integral to Critical Infrastructures; however, their architectural and operational features are inadequately represented in current cyber ranges. These ranges are often limited in scope or intentionally focused on specific sections of target systems. The intended utilization of the physical reference environments examined, modeled, and integrated in this study will serve two purposes. These include functioning as educational and outreach demonstrators, as well as serving as experimental platforms for research and training endeavors. The research will be carried out within the context of SFI NORCICS, the research-based innovation Norwegian Center for Cybersecurity in Critical Sectors. These sectors include electricity production and distribution, oil & gas production and distribution, manufacturing, healthcare, industrial production, smart districts. NORCICS follows a holistic, comprehensive and systemic approach addressing people, processes and technology to protect critical sectors throughout the cybersecurity core functions (identify, protect, detect, respond, recover). NORCICS has partners from academia, research, the public sector and the industry

Deadline : 24th August 2024

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD in Economic Geography, specializing in geographies of labour markets in the energy transition

The Department of Geography at NTNU has a 3-year vacancy for a PhD position in economic geography, contributing to the project Making the Green Shift Work for Regions (GSW). Funded by the Research Council of Norway’s Welfare, Culture and Society programme, the GSW project seeks to better integrate localities and regions, labour markets and working lives as central elements within the green shift, rather than merely as outcomes of the energy transition.  The overall objective is to help develop a new understanding of how regional labour markets are adapting to the challenge of green shift, using the example of Oil & Gas specialised regions. 

Drawing on a geographical labour markets perspective, the GSW project aims to better understand how labour markets processes vary between places, operating and performing differently based on their industrial histories, social and institutional contexts, and regulatory settings.  In particular, the research will explore and develop the regional skills ecosystem as an analytical framework to help develop both theory and policy prescription. As the green shift unfolds, the ways in which different regional skills ecosystems adapt and change will vary and have important implications for processes of regional competitiveness and labour market inclusion. 

In collaboration with the project’s research partners Newcastle University, Sintef Digital and FAFO, the NTNU-led PhD will provide research insights into the evolution and adaptation of the regional skills ecosystems within and across the O&G and green energy sectors.  Particularly important will be identifying the evolving institutional contexts, structure and configuration of regional Oil and Gas labour markets and the extent to which key actors’ develop adaptive strategies and responses to the shifting market and emerging growth of green energy activities.  Within which, the PhD will contribute to the project’s novel international comparative analysis of energy transition in carbon intensive regions across Norway (Rogaland, Trøndelag) and Scotland (Aberdeen and North East Scotland). Applicants are encouraged to conduct research stays abroad and acquire mobility funds from Research Council Norway.

Deadline : 15th August 2024

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(09) PhD Degree – Fully Funded

PhD position summary/title:  PhD candidate in social anthropology

We seek a candidate to do ethnographic research on issues related to peatlands, peatland restoration, and sustainability in Norway.

We are currently in the UN Decade for Ecosystem Restoration and peatlands are an especially important part of Norway’s restoration efforts. There is a widely felt sense that a lot – climate change, flood risk, biodiversity – hinges on what happens with peatlands. At the same time, uncertainties revolve around peatlands, and especially restored peatlands. 

The project may explore issues such as how people understand the role peatlands play in a sustainable future; what it means to restore peatland landscapes in a time of increasing pressure, degradation, and collapse; how people practically involve themselves with peatlands and how such efforts affect their knowledge and understanding; and what peatlands can tell us about the relations between science, policy, and society in times of global environmental change. We seek someone who is interested in newer environmental anthropology, open to theoretical innovation, and motivated to do in-depth ethnographic fieldwork.

Deadline : 15th August 2024

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(10) PhD Degree – Fully Funded

PhD position summary/title:  PhD Candidate in Sports Engineering

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

As part of the NRC IPN grant “FramSki – The future of responsible skiing” (FramSki), we have a vacancy for a 3-year PhD position at the Senter for Sports Facility and Sports Technology (SIAT), hosted by the NTNU, Department of Civil and Environmental Engineering. The transition to fluorine-free ski waxes in competitive and recreational skiing demands innovative solutions for reducing ski-snow friction. In the FramSki project, we tackle friction at the macro, micro and nano level in an interdisciplinary research project in collaboration with leading industry partners.

This specific PhD project focuses on the development of innovative ski designs and ski sole structuring techniques. You will be part of an innovative team of makers, and you will learn a lot about ski technology and innovation. In this project you will combine analytical thinking, advanced ski-snow friction testing and fast prototyping to experimentally develop innovative new ski designs and ski-sole structuring techniques.

Deadline :15th August 2024

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(11) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in Real Implementation of Model Predictive Control for Building Heating

Buildings are energy-flexible in the sense that they can move their loads in time, typically to provide services to the electricity or district heating grids (also called demand response). For instance, one key objective can be to decrease energy use during peak hours while maintaining acceptable comfort for occupants. In cold climates, the space-heating is a dominant load and advanced control can adapt this load by changing the indoor temperature in time. Model Predictive Control (MPC) gets increasing interest in performing this control. While this solution has been extensively investigated using simulations (meaning virtual experiments), there are still limited examples where MPC has been deployed and tested in a real building and over a long period. However, real buildings can differ significantly from simulations. Firstly, the amount of measurement data can be limited, and not properly structured or standardized. Secondly, the building may not be built and operated exactly as originally planned. Thirdly, physical phenomena may be more complex in reality than in simulation, for instance regarding the heating system and the occupant behavior. Finally, the existing “legacy” automation system may not be suited. Therefore, this PhD aims to define an MPC setup (or technical pathway) that can support some of these limitations and to test it in a real non-residential building. The final objective is to provide thorough documentation of the test case.

Deadline : 15th August 2024

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(12) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in Fact Checking/Information Verification

Fact checking or information verification is the basis for many pressing real-world problems such as fake news detection. False information that spreads very fast as news is a growing problem with serious real-world consequences. With the advancements of large language models (LLMs), this issue has become even more important. LLMs have proved themselves very useful in certain tasks and their usage in many areas is increasing. However, these models are not very reliable in means of the truthfulness of the information they generate. For whatever purpose it is, the importance of fact checking or information verification is increasing. External knowledge sources, such as knowledge graphs (KGs) can be used for fact checking purposes, also in combination with LLMs. However, this process has its challenges such as KGs being the bottleneck and not being novel enough in certain domains. In this position, the PhD candidate will work towards fact checking/information verification where one of the important use cases is trustworthy LLMs. The candidate might explore the use and integration of knowledge graphs and other external knowledge resources with LLMs as well as using the fake news domain as a use-case. 

The candidate will work in cooperation with the partners of NorwAI at NTNU. The SFI NorwAI is a research-based innovation Center for AI Innovation hosted at NTNU in Trondheim, Norway. NorwAI joins forces with 15 partners from industry, universities and research institutes. Research areas cover competences that the Norwegian industry needs to develop cutting-edge theories, methods and technology, for efficient, effective and responsible exploitation of data-driven AI in innovative industrial solutions.

Deadline : 15th August 2024

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(13) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in Physical Education and Sport

The successful applicant will engage in a research project examining the disability experience of students and recently graduated adults from Norwegian schools with an emphasis on understanding the disability experiences in physical education and sport contexts. A largely qualitative inquiry and exploration, the project may utilize diverse methodology to accomplish this goal. In concert with the data gathered and research published, this project will require the PhD student to consider the dissemination of material in order to reach teachers, connect the findings to the Norwegian curriculum, and collaborate with research group members to create opportunities for in-service workshops and learning opportunities in an effort to better the school environment that we’ve examined.

Deadline : 12th August 2024

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in in sustainable and profitable business models development

The position is anchored at NTNU in Ålesund and is part of the multi-partner SFI Harvest project – Technologies for sustainable biomarine value creation. We are looking for candidates with a background or experience within at least one of the following areas: Business strategy, sustainability / environmental management, sustainable supply/value chain management, management rules for the fisheries, marketing mechanisms for fish food products. You will report to the Head of Department.

Sustainability within the value chains in biomarine sector becomes and increasingly overall requirement for production of sustainable fish products.

Deadline : 11th August 2024

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(15) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in environmental analysis of a circular built environment

A PhD position in environmental analysis of a circular built environment is now open at the Energy and Environment Group at the Department of Architecture and Technology, NTNU. The Energy and Environment Group lead centres/projects like the Research centre on zero emission neighbourhoods in smart cities (ZEN)syn.ikia – Sustainable plus energy neighbourhoods, and the Green Deal ARV project on Climate positive circular communities, and use real demonstration projects and our laboratory facilities (like the ZEB laboratory) extensively in our research. The group currently comprises 10 senior staff members (professors and associate professors), and around 20 research fellows (research assistants, PhD candidates, and post-doctoral researchers). The duration of the position is 3 or 4 years.

The construction sector urgently needs to transition towards a circular economy to achieve sustainability goals. This includes ensuring climate neutrality and minimizing negative impacts of pollution and biodiversity loss. Key strategies for increased sustainability include material-efficiency measures such as material-efficient building design, material circularity, design for circularity, or using materials that store biogenic carbon. There is a need for better quantification of the environmental implications of novel circular and material-efficient practices. 

Deadline : 4th August 2024

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(16) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in Thermodynamics of ammonia-water mixtures

Ammonia (NH3) is deemed by many to be a promising energy carrier to reduce carbon dioxide (CO2) emissions from transport and a viable solution for global H2 transport. A challenge is the consequences of possible spills of liquid ammonia into water when it is transported on ships.

Ammonia is often transported at a temperature well below the freezing point of water. A spill of ammonia in water will therefore rapidly evaporate. It will also react with water through a highly exothermic reaction. The interfacial dynamics and the thermo-physical properties will play a key role in how fast the ammonia spreads in both water and air, and where it ends up.

The PhD candidate will work with the fundamental details of the mixing process, in particular the interfacial thermodynamics both at and beyond equilibrium and how the exothermic reaction comes into play into the spreading and dissolution of ammonia in water.

Deadline : 4th August 2024

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD candidate in Dynamic Decision Support for Positive Energy Buildings and Neighbourhoods

The PhD candidate will participate in the EU projects mentioned above and develop a framework for a Dynamic Decision Support Guideline for the planning, design, and operation of Positive Energy Neighbourhoods. The development will build on previous and ongoing work within the EU projects in which relevant frameworks and guidelines are being developed for sustainable plus energy buildings and neighbourhoods. This work will contribute with insight and knowledge about technologies and performances and the outcome will guide decision-makers towards life-cycle based and high performing buildings and neighbourhoods. Existing frameworks and guidelines provide useful insight into how to achieve a multitude of performance goals for Positive Energy Neighbourhoods and Districts, however, they are mostly static in their nature, i.e. they are not designed to be updated in line with different user needs and changing conditions and evolution of technologies, markets, policies, and social context. The decision-support framework to be developed should go beyond this state-of-the-art by providing a dynamic and interactive guide where solution providers can get streamlined and tailored decision support based on the local contexts and needs, and the changing environment. The framework should  provide updated data about the performance of different solutions, their interoperability, and give insight into trade-offs between different needs. As such, the dynamic guide would reduce risks for suppliers, as well guiding them towards achieving higher overall performances based on the multitude of sustainability issues.

Deadline : 01.08.2024

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(18) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in Hybrid Machine Learning

This PhD opportunity offers a unique chance to be at the forefront of the transformative field of hybrid modelling, combining the power of machine learning with physics-based approaches. Unexpected high overpressures in the subsurface continue to challenge oil and gas exploration on the Norwegian Continental Shelf, posing risks such as mud loss, kicks, and well loss. This PhD will focus on developing innovative solutions by integrating 3D pressure stochastic simulations with advanced machine learning techniques to enhance pore pressure prediction workflows. By improving the accuracy and robustness of subsurface pressure predictions, this research aims to make drilling operations safer and more cost-effective. As part of the research project “Hybrid Modelling with Machine Learning for Overpressure and Mud Weight Prediction – Big Pressure”, you will contribute to cutting-edge advancements that merge physical science and artificial intelligence.

Deadline : 31st July 2024

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(19) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in Compiler Technologies

Compiler technologies represent a convenient opportunity to automate complex code analyses and transformation to obtain improved characteristics in the output code.

Modern initiatives rely on a multi-layer approach to code compilation, which offers a modular approach to domain-specific optimisations.

Your project is expected to contribute to cutting-edge research initiatives leveraging, analysing, and exploiting non-conventional computer architectures via digital simulation of the system behaviour or via established approximate computing techniques.

You will join a team of international researchers with diverse backgrounds to address the challenges presented by a common problem, and to improve over the current state-of-the-art both with theoretical findings and with technological advances.

You will be expected to regularly engage in critical and constructive discussions with academics from your supervision team, members of your research group, and other research groups within the computer science department.

Deadline : 26th July 2024

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(20) PhD Degree – Fully Funded

PhD position summary/title: PhD position in artistic research

We are looking for applicants with a drive to explore, articulate and document the capacity of art and culture, heritage, and creativity not only to adapt and contribute to the climate transition, but also to drive societal transformation processes. 

The position requires a high level of commitment to contribute to a cutting-edge artistic research environment that experiments at the intersections of multiple forms of impact and value within the framework of knowledge production through the arts. The position should address challenges to contemporary ethics and aesthetics of participation and collaboration and explore the role of critical thinking and collective agency in responding to multiple societal challenges.

The successful candidate will develop an artistic research project that questions conventional narrative strategies and storytelling patterns and aims at reframing the urgencies of our time. The candidate should focus on the potential to enhance or augment collective agency by exploring the abilities to create affect and to be affected.

The position will be embedded in the ongoing research activities of the Horizon Europe-funded research project PACESETTERS, which brings together 15 universities and cultural organizations across Europe to explore the possibilities of shared creativity, decentralized architectures and collective intelligences. Further information is available at:

Deadline :21st July 2024

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(21) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in Sustainable Maritime Electrification

The Department of Marine Technology is seeking a highly motivated and talented PhD student to join a groundbreaking project developing innovative power-barge solutions for electrifying moored and anchored vessels with renewable energy. This research, initiated by the Horizon Europe project BlueBARGE, aims to create a sustainable and smart future for ports by designing and optimizing alternative power systems for onshore power supply and power barges.

You will work within a dynamic research group at a top university (NTNU) and gain valuable experience collaborating with world-leading partners on this multidisciplinary project. You will contribute to the design and optimization of power-barge solutions incorporating state-of-the-art battery technologies and alternative fuels for a zero-emission energy portfolio. You will develop and analyze system models to ensure safe integration and optimization of the power-barge system. Smart control and management systems will also be developed for seamless and sustainable operation.

Deadline : 14th July 2024

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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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