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 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 offer a modular approach to domain-specific optimisations.
Your project is expected to contribute to cutting-edge research initiatives leveraging, analysing, and exploiting wearable computing systems for harsh deployment conditions via code optimisations and simulation technologies.
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 : 31st January 2025
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Environmental Analytical Chemistry
The Department of Chemistry at NTNU has a vacancy for a PhD Candidate position in environmental analytical chemistry, focusing on non-target analysis and suspect screening workflows. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
Chemical pollution is recognized as a key drivers of biodiversity loss. Protection of the environment and human health from the impacts of pollution is key in securing a resilient society. Due to the high number and enormous complexity of chemicals of potential concern, advances in high-resolution analytical techniques are urgently needed. The bottleneck for such analysis remains time-consuming data analysis processes, that can only be tackled by a combination of robust workflows with advanced data analysis tools.
Funded by NTNU, the PhD project will tackle this challenge by developing multiple non-target analytical workflows aimed at detecting persistent and/or toxic pollutants present in complex environmental samples and/or discharges. A key component of the project will be the development of data analysis workflows that tackle big data sets and enables both detection and prioritization of detected compounds through modelling of their environmental and toxicological properties.
The candidate will be part of the Environmental and Analytical Chemistry Group (Environmental and Analytical Chemistry – Department of Chemistry – NTNU) at the Department of Chemistry. The candidate’s main supervisor will be Associate Professor Lisbet Sørensen.
Deadline : 12th January 2025
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Project Management
We have a vacancy for a PhD candidate at the Department of Mechanical and Industrial Engineering in Project Management at the Project and Quality Management (PKL) Research Group. The focus of the research will be on project complexity.
Managing a project to a successful outcome is demanding and requires that managers and organizations establish structures, guidelines, incentives, execution models, and contracts that foster the collaboration. One of the most important factors that influence these choices are the complexity of the actual project. Project complexity has been studied for many years; however, there is a need to better understand from both a practitioner’s and an academic’s standpoint how different factors contribute to the complexity and how it best can be managed.
Your PhD will investigate how project managers and project organizations today evaluate the complexity of their projects, what actions/decisions they take to mitigate the complexity, and to what extent their efforts have had the desired effects on managing the complexity and the project outcome. Your contribution will, in other words, form a basis for future knowledge development on how to manage project complexity. The research should lead to a model/method/tool that can be applied by project practitioners.
As a part of your position, you will join a research group and an extended research environment at NTNU that is internationally recognized for our research and knowledge development within project management and project governance. You will be a part of a group of several other PhD candidates. The position requires you to live in Trondheim, as your contribution to and your contact with the joint research environment are important for your work.
Deadline : 2nd January 2025
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in organic synthesis for photoelectrochemical applications
The Department of Chemistry at NTNU has a vacancy for a PhD position in organic chemistry, focusing on synthetic photoelectrochemistry. Organic chemistry is essential for developing specialized molecules that are desperately needed to solve important global challenges. Photoelectrochemistry, which combines photochemistry and electrochemistry, enables redox processes beyond the capabilities of the individual methods. This synthetic power can then be utilized in new chemical transformations towards desirable compounds for a range of end applications.
Funded by NTNU, the position will primarily involve the synthesis, analysis, and characterization of organic compounds for photoelectrochemical applications, as well as developing and maintaining setups for testing catalyst molecules. The position has a duration of three years with the possibility of extending to a fourth year if teaching and supervision duties align with departmental needs. The candidate will be part of the Organic Energy Materials Research Group at the Department of Chemistry. The candidate’s main supervisor will be Associate Professor Audun Formo Buene, and the goal is a completed doctoral education up to an obtained doctoral degree. The successful candidate will report to the Head of the Department of Chemistry.
Deadline : 1st January 2025
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Multi-scale Modelling and Simulation of Polymer and Antiferromagnet Composites
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
We have an open PhD position in multi-scale modeling and simulations of polymer and antiferromagnet (AFM) composites for spintronics at the Department of Manufacturing and Civil Engineering, NTNU.
Spintronics, which manipulates the magnetization of AFMs, offers ultrafast THz spin dynamics and picosecond switching speeds. The absence of stray magnetic fields in AFMs allows for higher bit densities and increased storage capacities, making them ideal for next-generation memory devices. AFMs are also energy-efficient, reducing power consumption while maintaining high processing speeds, which is advantageous for chip design. AFM-based components like interconnects, oscillators, transistors, and logic gates promise improved performance in integrated circuits using electron spin without creating disruptive magnetic fields.
This PhD project will focus on the integration of polymers with AFM materials using a multi-scale modeling framework to explore new possibilities in spintronic applications.
Deadline :31st December 2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Molecular Biotechnology
A three-year PhD position in molecular biotechnology is available in the group of Prof. Johannes Kabisch at the Department of Biotechnology and Food Science at the Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
The PhD candidate will work as part of the SFI Industrial Biotechnology (SFI-IB). The SFI-IB is a research-based innovation centre lead by SINTEF Industry and funded by the Research Council of Norway. In the project we will research RNA modifying enzymes and their production. The PhD candidate will work on both the engineering of such enzymes as well as genetically optimizing microbial production hosts.
The project will happen in very tight collaboration with ArcticZymes AS and SINTEF, enabling the candidate to use respective infrastructure as well as expert supervision from the partners.
Deadline : 31st December 2024
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Model Predictive Control for Energy Optimization in Cooling and Ventilation systems
Through a collaboration agreement between CERN and NorCC (Norwegian Centre for CERN-related Research), this position is one of a number of jointly-funded NTNU-CERN PhD vacancies in the field of the technological sciences (engineering projects). The successful candidate will spend 18 months at NTNU and 18 months at CERN, while remaining active in the PhD Programme at both institutions for the full 36 months. For the position of PhD Candidate, the goal is the completion of doctoral education at NTNU and CERN, including an obtained doctoral degree from NTNU.
A jointly-funded NTNU-CERN PhD vacancy is available at the Department of Engineering Cybernetics at NTNU on the topic of Model Predictive Control for Energy Optimization in Cooling and Ventilation Systems.
There has been considerable effort recently to reduce energy consumption at CERN, which currently stands at roughly 1.3 TWh per year. One attractive means to achieve this, which typically also requires minimal capital expenditure, is to improve control algorithms. At CERN, cooling and ventilation applications account for a considerable proportion of electrical consumption (in the order of 100 GWh per year). Improving control systems for these applications could therefore enable considerable energy savings. A recent pilot implementation of Model Predictive Control (MPC) on an Air Handling Unit (AHU) at CERN has demonstrated promising results with respect to energy savings. The focus of this project will be to investigate how MPC may be efficiently implemented for large numbers of similar installations.
Deadline : 31st December 2024
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Application of machine learning for crystal and continuum plasticity
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This academic position will provide the opportunity for the candidate to complete a doctoral education program and obtain a PhD from NTNU, while undertaking professional development activities within the broad fields of research and materials science.
Crystal plasticity plays a critical role for understanding and predicting both the global and local behavior of materials under various loading conditions, especially in metals and alloys. Phenomena such as a corner effect, non-normality of the plastic flow, flow localization, are particularly suited for being studied within the crystal plasticity framework. In a hierarchical multiscale modelling paradigm, the crystal plasticity, as a computational method, stretches itself broadly along the microscale, neighbouring from the bottom with the dislocation and molecular dynamics, and is very closely linked to the upper scale of the continuum plasticity. Here, plastic anisotropy evolution associated with the texture evolution are essential for improving forming simulations. Given the recent improvements, both in computational power and in the effectiveness of the numerical methods, it increasingly becomes viable to simulate the large plastic deformations of small and medium sized components, made of single or multi-materials, directly by using the crystal plasticity methods.
Machine learning techniques, especially recurrent neural networks, are among the current research activities, used for representing the constitutive equations and calibration of advanced anisotropic continuum plasticity models based on data generated by the crystal plasticity. This project aims at making an advancement within the field of crystal and continuum plasticity strongly supported by the relevant machine learning methods.
You will report to Associate Professor Tomáš Mánik. The PhD position is funded by the Department of Materials Science and Engineering.
Deadline : 31st December 2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in use of artificial intelligence (AI) within the ship design process
The KSP DREAMS (KSP: Kompetanse- og Samarbeidsprosjekt; DREAMS: Design Re-Engineering and Automation of Marine Systems) research project aims to increase the competitiveness of Norwegian ship design activities. The project rests on the following three hypotheses:
- By re-engineering the design process, combined with a higher degree of automation of selected tasks, we can reduce the total resource expenditure in conceptual and basic design by at least 20%.
- By extending the focus from predominantly technical details towards commercial and sustainability performance we can better meet customer needs and expectations, and thereby significantly improve the competitiveness of Norwegian ship design firms.
- By disseminating the project results into naval architecture educational training programs, we can improve the medium- and long-term implementation and use of new design methods and technologies in the Norwegian maritime industry.
This PhD position shall help addressing hypothesis 1 and 2 in particular by investing the use of artificial intelligence tools (AI) in the ship design process. The aim is to streamline resource-intensive design activities and thereby improve the overall design process. Potential activities to be investigated are:
- Gathering and preparing relevant market and operational data via specialized “agents” (combination of AI agents which each are specialized on narrow tasks). This is relevant for early-phase “business development” and hence crucial in projects where ship designers develop new, innovative solutions with a customer.
- Verification and generation of ship concept specifications, which are a central delivery in tender processes.
- Automizing resource-intensive basic design activities (e.g., generation of stability books).
- Designing retrofits/aftermarket activities are becoming increasingly important for Norwegian ship designers, particularly in light of meeting future emission requirements. AI-based analysis of existing vessels (based on detailed operational data where available, otherwise AIS data) may significantly improve a designer’s competitiveness and shall be explored.
To ensure that the research starts from state-of-the-art design activities and the challenges thereof, the candidate is encouraged to work alongside with the projects industry partners (Ulstein International, DNV, Pon Power) for extended periods of time..)
Deadline : 23.12.2024
(10) 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 :20th December 2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in environmental energy system analysis for zero emission metal production
This PhD is a part of FME ZeMe, a large national center for zero emission metal production with partners from industry and research actors. FME ZeMe will develop the fundamental knowledge and technologies for the Norwegian metallurgical industry to become climate neutral in 2050.
The focus of the position is to better understand energy transition and climate mitigation pathways for metal production, their resource limitations and associated environmental impacts. The work includes prospective life cycle assessment (LCA) and scenario modelling of main energy carriers and metallurgic reductants. It considers hydrogen, electrification, large-scale biomass, and the role of carbon capture (CCS) and energy efficiency within the industry.
Energy is a strategic research area of NTNU. There are large opportunities for the position to collaborate towards other initiatives within FME ZeMe and energy research at NTNU. The position is located in the Industrial Ecology Programme (IndEcol), a pioneer in the development and application of industrial ecology methods, as well as the use of large data sets and scientific computing in sustainability analysis. More information can be found at https://www.ntnu.edu/indecol
Deadline : 15th December 2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in understanding fatigue wave loads on jacket structures for offshore wind turbines
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
We are looking for an enthusiastic and motivated candidate with an interest in wave-structure interaction, hydrodynamic modeling and machine learning to help us and an industrial partner develop a better understanding of fatigue wave loads on jacket structures.
The position will be part of the EU Horizon 2020 MSCA Doctoral Network “Training Wind Energy Experts on Digitalisation” (TWEED). More information about the network and the position can be found at http://folk.ntnu.no/muskulus/tweed.
The starting date of the position should be around March 2025. Two research stays at TU Delft (3 months, The Netherlands) and the industrial partner MARIN (3 months, The Netherlands) are required.
Deadline : 15th December 2024
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in analysis and optimization of wind turbine operations
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
We announce an opening for a PhD Candidate at the Department of Civil and Environmental Engineering. We are looking for an enthusiastic and motivated candidate with an interest in analysis and optimization of wind turbine operations to help us and an industrial partner develop optimal strategies for lifetime-conscious power curtailment.
The position will be part of the EU Horizon 2020 MSCA Doctoral Network “Training Wind Energy Experts on Digitalisation” (TWEED). More information about the network and the position can be found at http://folk.ntnu.no/muskulus/tweed.
The starting date of the position should be around March 2025. Two research stays at ETH Zurich (3 months, Switzerland) and the industrial partner EnBW (6 months, Germany) are required.
Deadline :15th December 2024
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Reservoir Technology/Analytical Chemistry
We have a vacancy for a 3-year PhD position within Reservoir Engineering focusing on how the interactions between oil components and mineral surfaces determine the wettability in reservoir rock, at the Department of Geosciences at NTNU within the group Well and Reservoir. The position is funded by the Research Council of Norway and two oil companies. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. The position is organised at the Department of Geoscience. The research will be performed in co-operation with SINTEF Industry and the University of Eastern Finland.
Deadline :15th December 2024
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Human-centric future skills in manufacturing
The rise of AI and automation as competitors to human labor poses a threat to the employability of workers, particularly those whose tasks are highly susceptible to automation. Recent studies indicate that generative AI could impact 19% of the workforce, with over 50% of their tasks being automated, potentially leading to job losses in specific sectors. Despite this anticipated outcome, the World Economic Forum reports that only 16% of manufacturers implementing AI in their production processes have achieved their AI-related targets. Nonetheless, technology and AI can also enhance and support workers in various tasks, as manual labor remains integral to many work systems.
The Production Management research group at NTNU’s Department of Mechanical and Industrial Engineering is internationally recognized for its research in human-centered manufacturing and logistics. This PhD position aims to expand the group’s focus on understanding human-technology complementarity. The core of digital manufacturing innovation lies in human-centered and human-driven manufacturing processes, encompassing technical aspects of human-machine interaction, upskilling, reskilling, work and business organization, as well as regulations and standards. This research is part of the EU SkillAIbility project, conducted in collaboration with research and policy partners.
Your research will contribute to the development of human-centric AI methodologies, focusing on the necessary skills and training. You will define criteria based on sociotechnical systems, incorporating human factors and technology applications, to develop methodologies for human-centric design. Additionally, you will assist in creating learning materials and teaching activities aimed at equipping workers with the skills needed for future factories. The Logistics 4.0 Lab at NTNU will provide various technologies, such as collaborative robots and AGVs, for research and demonstration purposes in learning activities.
Deadline : 15th December 2024
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in offshore wind turbine digital twin development
The ICONIC project is funded by the European Union’s Horizon Europe Research and Innovation Actions, the UKRI Horizon Europe Guarantee scheme, and Innosuisse. The consortium aims to develop innovative digital and physical tools to achieve fundamental breakthroughs for the integrated control of wind farms, considering the whole physical system at farm, turbine, and component levels, in particular the complex aerodynamic interactions among turbines. The proposed integrated control solutions will be demonstrated by an extensive validation study via high-fidelity simulation models, experiments at a national-level wind tunnel, historical operational data, and real-world wind farm field tests.
The main task of this PhD project is to develop an integrated digital twin for estimating online loads and the remaining useful life of critical components of wind turbine. This PhD project is supervised by Professor Amir R. Nejad.
Deadline : 11th December 2024
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Reservoir Engineering – IV-125/24
We have a vacancy for a 3-year PhD position at the Department of Geosciences (IGP) at NTNU within the group Well and Reservoir (former Reservoir Engineering and Petrophysics). The position is funded by PoreLab. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. The position is within the Center of Excellence PoreLab, and organized under the Department of Geosciences.
The candidate is supervised by associate professor Antje van der Net in close collaboration with professors Alex Hansen and Carl Fredrik Berg.
Deadline :11th December 2024
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Particle Engineering
This position will be hosted by the Particle Engineering Centre at the Department of Chemical Engineering. The basis for the research in the Centre is an extensive experience at the department within particle synthesis and characterization, which was put into practical application as part of the COVID-19 test method developed at NTNU (https://www.ntnu.edu/ntnu-covid-19-test) in 2020.
The objective of the Centre is to advance the scientific knowledge within fundamental and applied particle engineering within three thematic areas – nanomedicine, hydrometallurgy & battery recycling and environmental applications. The broader thematic area of this PhD position is within nanoparticles in biomedicine with special focus on particle design and characterization.
This is an open PhD position where the candidate is expected to submit a research proposal that
- fits within the nanomedicine thematic research area of the Centre
- Covers between 3-4 of the following research topics:
- Flash nanoprecipitation
- Polymeric nanocarriers/magnetic nanoparticles
- Endosomal escape mechanisms/Targeted drug delivery
- Characterization
- Formation mechanisms
- Mathematical modelling
Deadline : 11th December 2024
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Hydrometallurgy and Recycling of Batteries
This PhD is a part of the FME Battery – Centre for next generation and improved circular sustainable battery technology value chain. This is a large national centre gathering a wide range of research and industry partners in Norway who are focused on batteries. More information about FME battery can be found at the centre’s website.
This position will be hosted by the Particle Engineering Centre at the Department of Chemical Engineering. The Department has strategic efforts within sustainable hydrometallurgy and application of chemical engineering to extract and recycle valuable elements from secondary sources including electric vehicle (EV) batteries. The department is a part of the Gemini Centre – HYPROS (Hydrochemical Processing Technology in the Circular Economy) which is a model for strategic interaction between parallel professions at NTNU, SINTEF and the University of Oslo.
The focus of this PhD position will be on hydrometallurgical recovery of valuable materials including graphite from end-of-life Lithium-Ion Batteries (LIBs) and the “black mass” produced by battery disassembly and shredding at industrial recycling plants. The project aims to understand how pre-treatment of the black mass impacts the hydrometallurgical processing downstream. Processes will be primarily developed for black mass obtained from batteries with nickel manganese cobalt (NMC) cathode chemistry including high Ni but may also address other battery chemistries (e.g. lithium iron phosphate, LFP) emerging in recycling feeds. With a major focus in optimizing a chosen hydrometallurgical route, efforts will be concerted on how differently pre-treated black masses will influence recoveries and quality of the final products obtained. An important aspect of the project will be detailed characterization of the black mass, both metals and organic contents, before and after treatment, as well as all resulting process streams and final products. The project will centre on one or more hydrometallurgical unit operations, in which the candidate will be able to specialize during the PhD Project.
Deadline : 11th December 2024
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Fluid Mechanics and Wind-Assisted Propulsion
The successful candidate will work in the state-of-the-art and well-equipped Fluid Mechanics Lab at NTNU’s main Gløshaugen campus in Trondheim, Norway. Experiments will be conducted in the large wind tunnel equipped with an active grid. The project will focus on measurements of model ships with wind-assisted propulsion devices mounted to it determine their benefit and understand the governing fluid mechanics. These measurements will include both force measurements and flow fields acquired via particle image velocimetry (PIV).
The successful candidate will join the Experimental Fluids Group that focusses on a range of topics involving turbulent flows. The particular colleagues working within this group are friendly and welcoming, and foster an enjoyable working environment while balancing the pursuit of scientific excellence with all the other experiences, activities and benefits life has to offer in Norway. Norway is frequently rated as one of the best and happiest places to live in the world.
The position will be supervised by Professor Jason Hearst ([email protected]), whom you may contact for further information.
Deadline : 10th December 2024
(21) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. Position in Political Science
- The successful candidate is expected to develop and conduct a quantitative research project within the larger TFoE project.
- It is expected that the candidate participates in the research group EVPOC (Elections, Values, and Political Communication).
- The candidate is expected to participate in international activities such as conferences, workshops, Ph.D. courses and/or research stays at universities abroad.
- The position may be ascribed obligation to teach, in which case it will be extended by up to one year. It is expected that the candidate contributes to teaching in the study programs at the Department.
Deadline :10th December 2024
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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