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 within digital technologies for insights into port-city energy interactions
This research project provides a fantastic opportunity for researchers interested in the energy transition. It aims to integrate knowledge of engineering (e.g., mechanical and electrical engineering) and social sciences (economics, sociology, and anthropology) in a doctoral training programme across 8 European research institutions and 15 industry actors. The POTENT consortium brings together a multidisciplinary research team from across Europe to train experts in port energy systems and develop key skills to deliver a just and sustainable energy transition. The energy transition of our ports is being rapidly acknowledged as a crucial tool as Europe undergoes the energy transition to climate neutrality and energy security.
The Marie Sklodowska-Curie Doctoral Network aims to increase mobility for students, and therefore will only accept students who have not lived more than 12 of the last 36 months in the country to which they apply. Please keep this rule in mind as you submit your applications.
Deadline : 31st March 2025
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate within Market design and tariff structures for unlocking flexibility in harbors
This Doctoral Candidate will be based at the Norwegian University of Science and Technology, hosted at the Department of Industrial Economics and Technology Management – Section Managerial Economics, Finance and Operation Research. The position is resident at NTNUs campus in Trondheim. The position is connected to the PhD program at the Faculty of Economics and Management and the faculty will be your employer.
The Doctoral Candidate will be working with Anne Neumann and Henrik Madsen from DTU as project leads, and will focus on the topics of flexibility functions and impact assessment, tariff design, and sector coupling. You will be applying methods such as stochastic control and grid balancing algorithms, spatio-temporal forecasting, and optimization as you work on your project. The successful candidate will be seconded with Copenhagen Business School (Denmark) and the Center Denmark Drift during the project.
The future low-carbon energy systems call for flexibility everywhere in the energy system. However, existing market design based on merit order and deterministic bidding and clearing in static settings represents a challenge for unlocking the flexibility in cities and harbors in particular on the distribution level and for sector coupling. Future maritime transport will be more and more based on a combination of electricity driven transportation and green fuels.
Deadline : 31st March 2025
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in cancer cell biology/biotechnology
Multiple myeloma is a cancer characterized by hyperproliferation of antibody-producing cells in the bone marrow. Despite recent advances in treatments and patient survival, treatment resistance inevitably develops, and multiple myeloma remains incurable. Novel approaches to provide an accurate prognosis, guide treatment choices and develop new medications are all urgently needed.
The Beckwith group develops new microscopy-based approaches to deeply characterize the complex biology of individual human cells. The aim of this interdisciplinary project is developing high throughput, multiplexed fluorescence microscopy approaches to study drug responses in multiple myeloma patient samples. The project will be carried out in an active and collaborative environment working on both clinical and translational multiple myeloma research at NTNU and St. Olav’s University Hospital. The position is funded by the Central Norway Regional Health Authority.
Deadline :16th March 2025
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate for risk perception analysis for the offshore industry in green transition
The offshore oil and gas industry is increasingly developing new technologies and innovative applications of existing ones to support the green transition. Examples include fully electric solutions and equipment powered by low-carbon or renewable energy sources, aimed at reducing greenhouse gas emissions. However, the immature nature of these technologies, combined with limited understanding, introduces significant uncertainties. These uncertainties, along with the potential impacts of natural disasters, pose substantial risks to the safety of personnel and infrastructure in the offshore oil and gas sector, as well as to marine ecosystems and coastal communities.
The objective of this PhD project is to obtain a deeper understanding of the offshore oil and gas industry’s perceptions and concerns regarding these risks. The successful candidate will conduct interviews with industry experts to investigate the vulnerability of the offshore industry during the green transition to natural hazards, as well as the varying perceptions and experiences of stakeholders regarding relevant accidents. Additionally, the candidate will design and implement a survey to collect data on offshore employees’ acceptance of green transition technologies, their concerns about potential issues, and their views on the quality of emergency response programs and risk communication strategies.
Deadline : 15th March 2025
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate for NATECH risk modeling and assessment of the offshore industry in green transition
Natural hazard triggered technological (NATECH) accidents, led by extreme events such as typhoons, hurricanes, storms, and rouge waves, present significant threats to offshore platforms, pipelines, other offshore facilities that handle, store, or transport hazardous substances. The threat of NATECH accidents is further magnified in the offshore oil & gas industry when developing new technologies and innovative applications for green transition. This PhD project is aiming to develop new knowledge for modeling, analyzing, and controlling the cascading process from the occurrence of natural events to the offshore accidents that threat human safety and environment and/or result in huge economic loss, and understand the interdependencies in such potential NATECH accidents .The project will also account for the protective measures and contingency plans to the offshore NATECH events, and then develop a risk-informed multidisciplinary decision-making method for preparing these events.
Deadline : 15th March 2025
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Synthetic Biology for DNA as Data Storage
The goal of the position is that the PhD will complete a doctoral education programme and obtain a doctoral degree.
The PhD candidate will work as part of the PolySpore project funded by the NovoNordisk Foundation. In the project we will develop novel biological and hybrid materials as well as new data-storage concepts using bacterial spores. The PhD candidate will work on genetically optimizing and manipulating the Gram-positive bacterium Bacillus subtilis to explore concepts of data storage in DNA.
Deadline : 10th March 2025
(07) 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 :7th March 2025
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in statistical modeling for genomic data
The position is part of the research project “Prediction of genetic values and adaptive potential in the wild” funded through a Consolidator Grant by the European Research Council (ERC). A major goal of the project is to develop cutting-edge statistical methodology to analyze large-scale genomic data, which is currently generated for many wild animal populations. To this end, the project combines modern statistical methodology and builds on the current state-of-the art in animal breeding, human genomics, ecology and evolutionary biology. The student will thus work with a cross-disciplinary team of researchers and can contribute towards the development of methods that will make an impact to better understand evolution and the robustness of wild animal populations, with the ultimate goal to help preserving biodiversity.
The PhD candidate will work at NTNU in Trondheim, and the fellowship will be hosted by the Department of Mathematical Sciences (https://www.ntnu.edu/imf). The successful applicant will be offered a three-year position, with the possibility for extension up to 12 months if teaching duties are attained. The project is a close collaboration with evolutionary ecologists from the Department of Biology (https://www.ntnu.edu/biology) and the Gjærevoll Centre (https://www.ntnu.edu/gjaerevoll) at NTNU, as well as with international researchers in the field.
Deadline : 4th March 2025
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhDs and/or postdocs
We are seeking two enthusiastic and highly motivated candidates with a neuroscience, biology, biotechnology or biophysics background, who wish to apply our recently developed cutting-edge miniature two-photon microscopes to model-driven systems neuroscience studies.
The positions will be financed by the Research Council of Norway. Successful candidates will be offered a PhD position (3 yrs) or postdoctoral fellowship (3-4 yrs).
Deadline : 2nd March 2025
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Human-Centric Manufacturing; Cognitive Behavior in Human-AI Manufacturing Systems
The rapid integration of AI and robotics in manufacturing presents significant challenges and opportunities for enhancing human-technology collaboration. While these technologies can improve efficiency and productivity, their impact on human workers—particularly concerning stress, behavior, and personality—remains underexplored. Understanding these factors as enablers or barriers is critical for fostering effective human-robot/AI interaction and for advancing cognitive AI systems that align with human needs and capabilities.
The Production Management Research Group at NTNU’s Department of Mechanical and Industrial Engineering is a leader in human-centered manufacturing research. This PhD position will deepen the group’s focus on cognitive behavior in industrial settings, contributing to the development of innovative methodologies for human-centric design in Industry 5.0. Your work will investigate the psychological and physiological aspects of decision making in human-robot/AI interaction, aiming to identify and mitigate barriers while leveraging enablers to improve collaboration and safety in industrial environments.
By integrating principles from neuromanagement and incorporating insights from research on human-centered digital transitions, this position will explore the neural and behavioral underpinnings of decision-making in production and logistics processes. Drawing on the goals of projects the group is participating (e.g. SkillAIbility, X-HuLOG), this research will focus on developing adaptive AI methodologies that account for stress, cognitive load, and emotional responses, while promoting resilient and sustainable production systems. These methodologies will aim to enhance human-robot collaboration, optimize decision-making, and contribute to regenerative and human-centered value chains.
Your research will address key challenges such as developing innovative AI methodologies to enhance human-robot collaboration, creating advanced perception technologies to predict human intentions, and assessing human factors like ergonomics, user experience, and trust in modern production facilities. NTNU’s state-of-the-art facilities, such as the Logistics 4.0 Lab, will provide a dynamic environment for experimentation and validation of your research findings.
Deadline : 2nd March 2025
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Molecular Modeling
We are looking for a skilled and ambitious PhD candidate to join the ∞RETIS project, which aims to revolutionize virtual experimentation in chemistry, physics, and biology by simulating complex molecular processes that were previously impossible due to the large timescales involved.
The project focuses on implementing the recently developed ∞RETIS algorithm into an advanced computer code to simulate and analyze the dynamics of rare molecular events, rather than just their thermodynamics. By integrating path sampling simulation techniques with a novel approach for parallelizing “non-parallelizable” algorithms, we aim to drastically reduce the computational resources required for such simulations. This groundbreaking method has already enabled simulations that previously took over a year to converge to be completed within weeks or even days, depending on the available High-Performance Computing (HPC) resources
Deadline :1st March 2025
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Metabolomics/Biological Mass Spectroscopy
The PhD position is part of the research project “Early prevention of childhood obesity via maternal exercise (Sugar Mama)” and is internally funded by the NTNU strategic research area Health and Life Science. The overall objective of the project is to discover bioactive components that are induced by exercise during pregnancy and after childbirth. The research group of Sugar Mama project leader Trine Moholdt (https://www.ntnu.no/ansatte/trine.moholdt) at the Exercise, Cardiometabolic Health and Reproduction (EXCAR) research group, Department of Circulation and Medical Imaging (ISB), MH-faculty, NTNU has established a large collection of serum, breastmilk, fecal samples from several past and ongoing exercise studies. These samples are available and will be analysed in Sugar Mama.
The main aim and task of the PhD position is to develop analytical methods (mainly LC-MS based and both targeted/quantitative and untargeted/ qualitative methods) and apply these methods on the already available samples. There will be a particular focus on abundance and diversity of human milk oligosaccharides (HMOs) and how these bioactive compounds vary with exercise both during pregnancy and after birth/ during lactation. HMOs are a diverse class of carbohydrates that can be found in high concentrations in human milk and induce multiple benefits for the infant via prebiotic effects, meaning that they feed the microbes in the infant gut. The gut microbiome and its metabolites are emerging as an important player in the pathogenesis of obesity.
Deadline : 1st March 2025
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD in experimental investigation of electrical breakdown of alternative insulating liquids
Liquid-insulated transformers are keystones of the electrical transmission and distribution system. A significant increase in the development of innovative insulating liquids is being witnessed, with these products promoted for their superior properties, such as biodegradability, reduced fire risk, and cooling properties, compared to conventional crude oil-based mineral oils. However, there are presently no established standards for properly evaluating and documenting the most critical functional property of the insulating liquids – the dielectric withstand performance – which is characterized by breakdown and pre-breakdown phenomena.
The PhD Candidate will perform streamer experiments, applying step-pulses of high-voltage (0.5 / 1700 µs, up to 600 kV) to an 80-mm needle-plane liquid-insulated electrode gap. Current, light emission (PMT), streamer images (high-speed camera), and pressure waves measured/captured during pre-breakdown will be studied and compared for a selection of liquids. Effects of varying the step-voltage rise time, the inhomogeneity of the electric field, and electrode gap distance should be investigated.
Results from other work packages in the project, e.g. molecular modelling, high-field conductivity measurements, and small-scale breakdown, will support and complement the findings of this PhD research on large-scale experiments, and vice-versa.
Deadline : 28th February 2025
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Global Health Equity
Currently, approximately 5 billion people worldwide lack access to safe, affordable, and timely surgical care, particularly in critical areas such as emergency obstetrics, trauma, cancer treatments, and common childhood infectious diseases like appendicitis and intestinal typhoid. This project aims to enhance the global human resources for health strategy through task-sharing, a proven approach for tackling significant health challenges, including maternal and child health issues, scaling antiretroviral therapy for HIV, and implementing cancer screenings and preventive measures for major chronic diseases.
Task-sharing and task-shifting are emerging strategies that can potentially reduce disparities in healthcare access and preventable outcomes. However, the widespread adoption of these strategies has been limited due to insufficient evidence demonstrating their global health impact. Moreover, there is a significant gap in understanding how these interventions address health inequalities and how to ensure their sustainability over time.
Since 2011, Sierra Leone has implemented task-sharing by allowing non-specialist physicians and non-physicians to perform surgical procedures, such as caesarean sections and hernia surgeries. This project has a primary goal: to evaluate the impact of task-sharing on reducing surgical mortality rates through quantitative survey data. We will utilize data from various sources, including the Global Burden of Disease (GBD) Study, the Demographic and Health Surveys (DHS), and Multiple Indicator Cluster Surveys (MICS), employing suitable quantitative methods to analyze the findings.
In addition, this project will investigate the regulatory, legal, administrative, and governance factors essential for the long-term sustainability of surgical task-sharing initiatives.
Deadline : 27th February 2025
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in scientific archaeology
The main topic of the PhD project is the changing use of plants by prehistoric people in Norway. This includes plants, algae and fungi, which would have been used as food or for other purposes such as animal fodder, clothing or medicine.
Apart from wood used for constructions or as firewood, and occasional charred macrofossils, very little evidence exists for the use of plants, algae and fungi in prehistoric Norway. This PhD project will therefore explore different methods, such as proteomics, sedimentary DNA or isotope analysis to distinguish terrestrial and marine plant remains, in addition to literature/excavation report studies, to find out which plants were used in prehistory. A strong focus would furthermore be on radiocarbon dating to obtain absolute dates for the use of the different plants, and to identify changes through time.
Sampling will be done in connection with field work such as rescue excavations or field schools for archaeology students in cooperation with the Department of Archaeology and Cultural History, NTNU University Museum (IAK). Sediment aDNA analysis will be done in cooperation with the Department of Natural History, NTNU University Museum (INH). Sampling material is also available from the collections of IAK (material from archaeological excavations) and INH (herbarium samples as reference material).
Deadline : 25th February 2025
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Environmental Sustainability Analysis of H2-based energy systems
The identification of the conditions that optimize the environmental sustainability of hydrogen systems as energy fuels or storage solutions depend on the local context, specific technologies, and weather patterns, as well as possible synergies with existing electricity systems (production mix and international networks) and industrial processes. More research is needed to advance life-cycle assessment (LCA) methodologies to embed socio-economic dynamics, changes in background climatic conditions and consolidate indicators to measure contributions to decarbonization of the electricity and transport sector. This PhD project is intended to investigate these aspects and identify positive and negative side-effects of deploying an H2-based economy in Norway and Europe, with an identification of the win-win technological solutions from an environmental perspective. The research will be connected with the research center HydrogenI and Hyschool, which will offer the PhD student opportunities for collaboration with national and international research scientists, public authorities and industries.
Deadline : 25th February 2025
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Pavement technology – rehabilitation methods
The project is a collaboration between NTNU, SINTEF, and 14 Norwegian Counties that are responsible for a large part of the low-volume roads in Norway. The project will in addition to this PhD include a second PhD in “Pavement technology – condition mapping and damage development”. It is planned that the two PhDs will work together and cooperate with researchers from SINTEF and representatives from the counties.
Deadline : 20th February 2025
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Pavement technology – condition mapping and damage development
The project is a collaboration between NTNU, SINTEF, and 14 Norwegian Counties that are responsible for a large part of the low-volume roads in Norway. The project will in addition to this PhD include a second PhD in “Pavement technology – rehabilitation methods”. It is planned that the two PhDs will work together and cooperate with researchers from SINTEF and representatives from the counties.
Deadline :20th February 2025
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Organizational Aspects of AI
The position is funded by the Norwegian Research Center for AI Innovation – NorwAI, and will be based at the Department of Computer Science in Trondheim. The candidate will work in cooperation with the partners of NorwAI at NTNU. SFI NorwAI is a centre for research-based AI Innovaton 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 : 18th February 2025
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Enhancing Trustworthy AI Integration in Safety-Critical Systems
The Department of Mechanical and Industrial Engineering is seeking applicants for a PhD research position focused on developing a theoretical framework to enhance the trustworthiness of embedded Artificial Intelligence (AI) in safety-critical systems. The research aims to ensure the reliability and predictability of AI systems, crucial in environments where erroneous outcomes or unpredictable issues from AI could lead to significant adverse consequences. Candidate will engage in in-depth theoretical research to improve the transparency and interpretability of AI decision-making processes, thereby instilling confidence in operators and decision-makers regarding these systems.
Your research will delve into developing complex AI algorithms with robust fault tolerance capabilities to maintain system stability and safety under non-standard conditions. The project also emphasizes adherence to existing functional safety standards, including performance evaluations and ensuring compliance with safety regulations. This role offers a significant opportunity to contribute to foundational research in AI and safety, impacting the long-term integration and trust of AI systems in critical applications.
Deadline : 16th February 2025
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in glacier hazard evolution modelling
Are you motivated to take the step towards a doctorate and open up exciting career opportunities? As a PhD Candidate 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. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. This 3-year position does not involve teaching, but teaching may be added, leading to the prolongation of the employment by up to one year.
The position is part of the EU Horizon project “CryoSCOPE” (Cryospheric Observations for Productive Exploitation) with project partners from 7 European countries and India. The project aims at improving our knowledge of cryosphere-atmosphere interactions in the areas of arctic permafrost, snow hydrology, glaciers and glacier lake outburst floods. With the help of specialists in the field you will use and adapt advanced modelling tools and field data to improve our understanding of the impacts of climate change on Glacier Lake Outburst Floods and on changes in seasonal hydrological droughts due to glacier retreat. Such knowledge is essential for natural hazards management, water resources management and energy production in Europe and beyond.
Deadline : 15th February 2025
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Sustainable Real-time Anomaly Detection for Practical Applications
We are looking for a highly motivated PhD candidate in Sustainable Real-time Anomaly Detection for Practical Applications at the Department of Information Security and Communication Technology.
Real-time anomaly detection has gained substantial attention in various fields due to its ability to provide immediate insights into data streams, enabling timely responses to emerging threats. It is invaluable in sectors such as cybersecurity, industrial monitoring, healthcare, finance, and smart infrastructure, where rapid anomaly identification can enhance security, efficiency, and decision-making processes. The challenge is how to make real-time anomaly detection sustainable, i.e., how to achieve the desired goals of real-time anomaly detection while assuring resource efficiency, scalability, data privacy, resilience, transparency, interpretability, and applicability across different safety-critical domains. The objective of this PhD project is to address the above-mentioned challenges.
The research will be carried out within the TUAI Project (Towards an Understanding of Artificial Intelligence via a transparent, open, and explainable perspective). TUAI is funded by the prestigious Horizon Europe Marie Skłodowska-Curie Doctoral Networks 2023 initiative and aims to foster a new generation of researchers with a strong foundation in transparent and explainable AI.
The PhD candidate will be based at NTNU’s Gjøvik campus in Norway, and will join a highly collaborative, multidisciplinary team. This team works across Italy, Spain, Norway, and Poland, partnering with industry-leading collaborators to derive innovative research. Your immediate Line Manager will be the Discipline Leader.
This PhD candidate will have three individual secondments at Universidad Politécnica de Madrid (UPM), Western Norway University of Applied Sciences (HVL), and Silesian University of Technology (SUT). Each secondment is planned for 4 months.
Deadline :15th February 2025
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD in user centered design – digital health intervention for health education
The Department of Design offers a fully funded 3-year PhD position starting in August, 2025. This position is part of the project titled “Promoting Access to Health Services through Participatory Approach: E-Health Intervention to Promote Good Health Seeking” (PATHS), funded by NordForsk. The proposed project aims to design and develop a User-Centered Design (UCD) of Digital Health Intervention to improve the dissemination of information, increase access to healthcare services, and strengthen support systems within the healthcare infrastructure.
The UCD approach provides a well-established method for understanding the domain and applying participatory design techniques to address the needs of relevant stakeholders, ultimately leading to innovative solutions with reduced resource and time investments. The proposed Digital Health Intervention will include participatory design techniques to involve a multidisciplinary team and stakeholders, including healthcare professionals, designers, health researchers, and migrants, in all stages of development. The results from this project will provide novel knowledge based on behavioral change and diverse solutions to improve migrants’ integration into Nordic-Baltic healthcare systems. The projects research approach combines literature reviews, surveys, interviews, co-design workshops, and proof-of-concept demonstrations to develop and validate user-centered digital solutions.The project aligns with multiple UN Sustainable Development Goals.
The successful candidate will collaborate across various disciplines, including social scientists, psychologists, health professionals, health researchers, public sector specialists, and designers. The candidate will work closely with experts from Uppsala University, Sweden, University of Tartu, Estonia, Trondheim Commune, Caritas Trondheim, Faculty of Health, NTNU, and the Department of Design, NTNU.
Deadline : 12th February 2025
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Field Robotics – Autonomous Robotic Systems operating in complex environments
Field Robotics focuses on developing resilient robotic systems able to perform operations in diverse and highly dynamic environments and it has applications across many industries (e.g., oil and gas, offshore platforms, wind turbines, fisheries, aquaculture, agriculture, manufacturing, energy sector). These systems should be capable of autonomously navigating, exploring, mapping and performing inspection, maintenance and repair (IMR) operations more robustly and for longer periods in unknown and complex terrains. To enable this vision, this position targets robust field autonomy for mobile robots by investigating methods for accurate localization, mapping and collision-free navigation for applications both in land and underwater. As a PhD in this position, your task will be to acquire new fundamental knowledge and develop key technologies for fully autonomous robotic systems by investigating methods for advanced perception, reliable state estimation, precise localization and mapping, agile autonomous navigation and exploration, and robust control with the overall goal to realize intelligent robotic systems to operate safely, reliably, and efficiently in complex, real-work scenarios. Access to infrastructures/facilities and several robotic systems from NTNU will be provided for lab and field demonstrations.
Deadline : 12th February 2025
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD position in computational spintronics
We seek a highly motivated PhD candidate for a three-year PhD position in computational condensed matter physics, with focus on novel magnetic materials and topological spintronics, at the Department of Physics, NTNU in Trondheim, Norway. The position will start in August 2025.
The appointment involves research under the supervision of senior researcher Alireza Qaiumzadeh, and in direct collaboration with theoretical and experimental research partners in Germany, the Netherlands, the UK, and China.
The position is funded by Research Council of Norway under FRIPRO call for the project: “Unconventional Thermoelectric Quantum Transport in Novel 2D Magnetic Heterostructures (QTransMag)”.
Deadline :10th February 2025
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD in “Energy hubs with advanced power converters & control for hybrid microgrids”(IDEAL4GREEN)
The IDEAL4GREEN project addresses the urgent challenges of climate change and the global shift towards sustainable energy systems. It focuses on developing and integrating microgrids, which are crucial in managing the variability of renewable resources and achieving decarbonization targets. The project aligns with the EC’s commitment to carbon neutrality by 2050 by empowering energy communities and optimizing local supply and demand. The project proposes a comprehensive doctoral training network aimed at developing skilled engineers with interdisciplinary and intersectoral expertise. This network diverges from conventional university-based research, maintaining strong industry links and emphasizing practical implementation. IDEAL4GREEN consists of 8 beneficiaries and 11 partner organizations, recruiting 15 doctoral candidates to undertake research on microgrids’ planning, design, operation, control, and impact assessment.
The research encompasses innovative frameworks and methodologies for integrating microgrids and transforming traditional grids into sustainable energy systems. The Doctoral Candidates will engage in a mix of academic and industrial experiences, including secondments and networking meetings, ensuring their exposure to both theoretical knowledge and practical skills.
The Department of Electric Energy is dedicated to advancing the field of electric power engineering through innovative research and education. The EMESP research group focuses on integrating renewable energy sources, energy storage, and consumption within the electricity market, aiming to optimize connections with heating and transportation systems. Their areas of study include the market integration of distributed resources like wind, solar, and electric vehicles, as well as optimizing hydropower across various markets. They also work on generation expansion, offshore grid optimization, and the integration of energy systems, particularly concerning electricity, hydrogen, heat, and transport. Additionally, the group is dedicated to advancing the digitalization of energy systems and informatics. EMESP has strong academic and industrial collaborations both national and international, like with SINTEF, NMBU, DTU, MIT, UPC, NREL, EPFL, Equinor.
Pixii is a company developing technology and products for power conversion and control for battery-based energy storage. Pixii has its HQ has about 100 employees and subsidiaries in Norway, Germany, Slovakia, and Australia. The HQ and main R&D centre is in Norway. Pixii has an industrial lab facility in Kristiansand / Norway for the development and test of advanced power converters, and for complete energy storage systems with the possibility to test the converters and energy storage systems in grid-tied operation and off-grid, and with both AC and DC connected solar power.
Deadline : 10th February 2025
(27) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Timber Engineering
The timber structures group at NTNU has had a great development over the last years. The research interests of the group are focused on development of structural concepts for mid-rise timber buildings, timber bridges with long spans, development of high-performance connections based on threaded rods, static and dynamic testing of timber components and investigation of fracture and high-cycle fatigue. The research methods are based on both small-scale and full-scale experimental testing and on Finite Element Modelling.
Timber structures have gained increasing attention in the European construction field because of their sustainability, cost effectiveness, and reduced self-weight. The use of wood is particularly beneficial because of its low carbon footprint compared to other construction materials such as concrete and steel. Wood products can achieve high mechanical performance not only at the material level, but also at structural level, as it was proved by the recent efforts to design and construct high timber buildings in Europe. Such buildings require performant connections in terms of stiffness and resistance to achieve sufficient serviceability and safety. Performant moment-resisting connections can contribute to the lateral stiffness of the building, reducing the need for diagonal bracing or walls and allowing for more spacious buildings. An innovative moment-resisting beam-to-column connection has recently been developed at NTNU, based on friction, and utilizing threaded rods as fasteners.
The design life of load-carrying wooden structures is recommended to be up to 100 years by the Eurocodes. However, the long-term mechanical deterioration of wood driven by cyclic variations of the environmental conditions is a challenging topic for large structures. Furthermore, increasing circularity and prolonging the service life of buildings and structural components is a step forward towards more sustainable, resource-efficient, cost-effective, and environmentally friendly construction. Therefore, the response of the connection subjected to long-term loading and moisture effects should be investigated, as well as the potential for disassembling/reassembling. Moreover, design recommendations about the long-term performance need to be developed for the application of such connections.
Deadline : 9th February 2025
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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