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 Nanomagnetism
The Department of Electronic Systems has a vacant PhD position in the field of unconventional computing with nanomagnets.
In the COMET research group, we are seeking radical breakthroughs in spin-based device technologies. One of our research visions is to use artificial spin systems as a platform for efficient and powerful data analysis at all scales, ranging from low-power computation in the simplest sensor node to accelerated data processing in the most complex supercomputer. We are currently looking for a PhD candidate to explore 2D artificial spin systems and explore the case for such systems to be harnessed for data processing.
These positions are part of the SPrINTER project funded by the Research Council of Norway and NTNU. In the SPrINTER project, experts in the fields of nanotechnology and computer science join forces to create a radically new technology for low-power wireless devices that do not require batteries to operate. We propose a technology built on the unique properties of nanomagnets to achieve our ambitious goal. Read more about SPrINTER.
Deadline : 1st March 2024
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD in Characterization of Electric Insulation Systems under Power Electronic Converter Stresses
During the last decades power electronic converters (PECs) have been introduced to control and transform electric power – and permeate society for numerous applications: zero-emission transport, renewable energy, and transmission. The PEC is a key technology to succeed with the electrification of society and reach the climate goals set out by the EU and UN. PECs function as on/off switches, resulting in sharp-edged square wave voltages with a high repetition rate. These sharp voltage flanks introduce different stress distributions internally in components and are challenging to model and predict. An important part of insulation systems in high voltage components are materials with non-linear electric properties used to reduce stresses in regions with high electric fields, such as cable terminations and end windings of rotating machines. These materials are mainly designed for operation at 50 Hz AC and impose a risk of premature failure when operated with PECs.
The work of this project will be associated with the project SwoP (Impact of switched voltage waveforms on power components and grids), which is a collaborative project involving NTNU, SINTEF, and several national and international industry partners. The prospective candidate will be part of a project team that works in close collaboration with SINTEF and industry partners. The PhD Candidate will be employed at NTNU, and the workplace will be in Trondheim, in connection with this research project.
Deadline : 26th February 2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD and Postdoc positions in the SUBPRO-Zero Team
SUBPRO-Zero (SUstainable Bridge PROgram towards Zero emissions) is a research center that funds 10-12 PhD students and postdocs in the next 3-years. Its mission is to conduct fundamental and applied research to contribute to net-zero emissions in the offshore industry.
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD and PD positions in the HYDROGENi team
HYDROGENi’s main objective is to accelerate the research and innovation needed to deliver a new hydrogen-based energy and technology export industry for Norway, reducing emissions while boosting industry competence and creating new green jobs.
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD in Characterization of Fast Elongating Short Commutating Arcs in MVDC Circuit Breakers
The use of fossil fuels and the emission of greenhouse gases (GHG) into the atmosphere must be minimized as fast as possible to reach a climate-neutral society by 2050. A vital prerequisite of the de-carbonization is the rapid growth of renewables. In 2050 more than 60 % of electrical power is expected to come from wind and solar, both significantly more remote located than traditional thermal power generation. To achieve this, efficient grid-integration of renewables across Europe and globally requires the development of high-power transmission systems and components, and more specifically Medium Voltage DC (MVDC) and High Voltage DC (HVDC) switchgear. In existing grids MVAC and HVAC switchgear are filled with the insulation gas SF6, the world’s most potent GHG with a global warming potential (GWP) of 24 300. SF6 emissions due to leakages during gas handling or defective sealings/compartments represent a significant part of the grid owners’ total GHG emissions. The MISSION (Emission-free HV and MV Transmission Switchgear for AC and DC) project will contribute to enabling emission-free energy transmission and switchgear technology transition for a resilient and sustainable future electric grid. MISSION project will develop and demonstrate SF6-free products as key levers for climate-neutral power transmission filling critical gaps in future hybrid AC/DC grids
Deadline : 19th February 2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in control and optimization for energy management
The research topic is control and optimization for new energy systems, where several power sources, including renewables and storage, are integrated for reduced CO2 emissions. The specific case is energy management for new energy systems on the Norwegian continental shelf. The research will take place in a research group at a high international level, employing and developing methods for control, optimization and learning at the research forefront. The position is sponsored by the company OKEA ASA, through the BRU21 program. BRU21 is NTNU’s Research and Innovation Program focusing on Digital and Automation Solutions for the Offshore Energy Industry.
Deadline : 18th February 2024
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in the area of solar silicon recycling
We are seeking candidates with strong interest in metallurgical processes holding Master degree in materials science and engineering. The PhD research is about the solar silicon recycling from End of Life (EoL) PV modules. The research activities are in an EU project (Apollo) in Horizon Europe program. In Apollo a variety of commercial products are produced from EoL-PV modules through the cooperation of many research organizations and in different industries, in a large consortium from Europe.
The PhD research focus is experimental studies on the purification of silicon through a combination of designed hydrometallurgical and pyrometallurgical processes. Establishing fundamental kinetics and thermodynamics data and providing recipes for further upscaling with the industrial partners is a part of the research.
Deadline : 15th February 2024
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Re-valuing urban heritage to increase cities’ readiness to face climate change
This PhD position will revolve around urban heritage and adaptation measures for the climate-neutral, inclusive, and beautiful transformation of cities and communities, thus applying the New European Bauhaus (NEB) principles and values with specific emphasis on the neighbourhood scale. More specifically, the PhD Candidate will develop new knowledge and tools to better capture how the conservation and reuse of cultural heritage can increase Urban Readiness Level (URL) to face climate change. In this manner, the PhD will inform evidence-based decision-making, foster the uptake of measurable impacts in European cities, and, ultimately, contribute to re-valuing urban planning and design in the face of climate change.
Urban Readiness Levels provide a way to assess the status of a city’s adaptation efforts and identify areas where further action is needed. They help gauge the city’s progress in building resilience and addressing climate-related risks. Evaluating urban transformations in the context of climate change adaptation and urban heritage reuse involves a multi-faceted approach. This, among others, includes understanding the impacts of climate change on urban heritage, assessing cities’ readiness to face climate change, and developing tools to measure the effectiveness of urban transformations towards climate neutrality.
Deadline : 15th February 2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Decision-making digital twins for climate neutral neighbourhoods and cities
We have one vacancy for one PhD candidate at the Department of Architecture and Technology (IAT), Norwegian University of Science and Technology (NTNU). The PhD position is part of the EU Driving Urban Transition Partnership Project MakingPEDs “Decision-Making digital twins for climate neutral PEDs”.
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. The use of simulation tools in the urban context and connected to 2D or 3D web-based visualization applications are valuable tools for decision-makers and citizen’s engagement. If we talk about improving the sustainability of the building stock in neighbourhoods and districts, innovative technical, social and economic models need to be considered under a global LCA/Climate change perspective having in mind interactions with mobility, circularity and co-creation processes with public authorities and citizens.
Deadline : 13th February 2024
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD position within the chemical looping oxidation of ammonia on functional materials
A PhD position is available at the Department of Chemical Engineering in the field of fast discovery of new functional materials for the greening industry. The position is affiliated with the research ongoing in the catalysis group within a large project supported by Yara AS. and the Norwegian Research Council. The research will be focused on the discovery of a functioning anode for the oxidation of ammonia to NO by a new approach with combined theoretic and experimental study, microkinetic modeling, and machine learning. The overall goal will enable the development of a H2 technology that gives a step-change reduction in the energy required to produce green H2, while coproducing NOx for green nitric acid and fertilizer production.
Deadline : 12th February 2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate 2 in the MISSION-CCS project, an MSCA-Doctoral Network for Carbon Capture and Storage
We are looking for a PhD candidate for the MISSION-CCS (Material Science Innovation for Accelerated, Sustainable and Safe Implementation of Carbon Capture and Storage) project that will provide a bespoke training environment for 13 Doctoral Candidate Researchers (DCRs), focussed on understanding and mitigating material degradation phenomena across the entire CCS chain. MISSION-CCS is a Marie Sklodowska-Curie Actions Doctoral Network (MSCA-DN) program.
This Ph.D. project (DCR9) will use time-resolved X-ray computed tomography (CT) and complementary techniques, including electrochemistry and machine learning, to monitor the interfacial chemical reactions induced by brine/CO2 under realistic reservoir conditions
Cement and steel are important also for CCS, notably in the transport system bringing the CO2 into the reservoirs and closing off the wellbore. It is crucial that the cement-rock and cement-steel interfaces near the steel pipe remain stable against corrosion when exposed to the CO2 stream. This Ph.D. project (DCR9) will use time-resolved X-ray computed tomography (CT) and complementary techniques, including electrochemistry and machine learning, to monitor the interfacial chemical reactions induced by brine/CO2 under realistic reservoir conditions. Imaging contrast will be achieved using phase contrast, diffraction, and isotopic contrast (for neutrons). An aim is to model the multiscale CO2 induced degradation of cement and steel as a function of exposure time, which we aim to do using big data techniques and physics based machine learning. The project will involve significant experimental efforts using both home laboratory and large-scale facilities (neutron and/or synchrotron sources), and data analysis including computer modelling of coupled thermodynamical and physicochemical processes.
Deadline : 11th February 2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate 1 in the MISSION-CCS project, an MSCA-Doctoral Network for Carbon Capture and Storage
We are looking for a PhD candidate for the MISSION-CCS (Material Science Innovation for Accelerated, Sustainable and Safe Implementation of Carbon Capture and Storage) project that will provide a bespoke training environment for 13 Doctoral Candidate Researchers (DCRs), focussed on understanding and mitigating material degradation phenomena across the entire CCS chain. MISSION-CCS is a Marie Sklodowska-Curie Actions Doctoral Network (MSCA-DN) program.
This Ph.D. project (DCR8) will investigate the structural degradation and the corresponding mechanical response of the sealing caprocks of CCS reservoirs in response to CO2 exposure under realistic subsea conditions of high pressure and elevated temperature. Using state-of-the-art microscopy and X-ray computed tomography (CT) methods, the long-term structural and mechanical effects of CO2 in its liquid or supercritical phase on rocks will be investigated. Such studies require resolution in space and time (“4D CT”), which is experimentally challenging. Sufficient contrast will be achieved using different imaging methods, including phase contrast, diffraction, and isotope variation (for neutrons). An aim is to derive an upscaled model of the multiscale CO2 permeability of the caprocks under long-term exposure, which we aim to do using big data techniques and physics-based machine learning in collaboration with the MISSION-CCS project partners. The project will involve significant experimental efforts using both home laboratory and large-scale facilities (neutron and/or synchrotron sources), and data analysis including multi-physics computer modelling of coupled thermodynamical and physicochemical processes.
Deadline : 11th February 2024
(13) PhD Degree – Fully Funded
PhD position summary/title: Ph.d.-stipendiat innen klinisk og teknologisk ultralydbasert forskning
Forskningen foregår i et meget sterkt og internasjonalt preget fagmiljø med mange stipendiater innen klinisk og teknologisk ultralydbasert forskning. Teknologisk utvikling foregår ved Institutt for sirkulasjon og bildediagnostikk, og den kliniske utprøvingen ved de kliniske avdelinger ved St. Olavs hospital. Der inngår samarbeid med kardiologisk, anestesiologisk og intensivmedisinsk fagmiljø.
Deadline : 11. februar 2024
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Biophysics/Medical Physics
We have a vacancy for a highly motivated PhD candidate on the project IMPROTOX – Imaging normal tissue toxicity from proton therapy funded by Helse Midt-Norge (Central Norway Regional Health Authority). The appointment will be a 100% position for 3 years.
The objective of the PhD project is to investigate mechanisms of normal tissue damage (side-effects) from proton therapy of head and neck cancer, with a particular focus on the damages to mandibular bone. Damage to the mandibular bone from conventional radiotherapy with photons is a side-effect which severely affects quality of life for survivors of head and neck cancer. Proton therapy will be available in Norway from end of 2024 and besides the new treatment modality for cancer patients, this will also provide new, unique facilities for experimental research.
In the PhD project, investigations with protons will be done in different in vitro and in vivo experimental models such as cell cultures, spheroids and xenograft models, and results will be compared to experiments using x-rays/photons. The project will include working with a range of experimental techniques, such as, immunological assays, advanced microscopy, flow cytometry and radiobiological assays. Radiation experiments will be performed locally as well as at the proton therapy facility in Oslo or at international facilities.
Deadline : 7th February 2024
(15) PhD Degree – Fully Funded
PhD position summary/title: Two PhD positions at Center for Quantum Spintronics (QuSpin)
Two PhD positions is available at the Center of Quantum Spintronics, part of the Department of Physics, NTNU in Trondheim, Norway. The candidates will join and become part of an international research environment in quantum condensed matter theory and experiments.
Deadline : 5th February 2024
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD position at Center for Quantum Spintronics (QuSpin)
A PhD position is available at the Center of Quantum Spintronics which is part of the Department of Physics, NTNU in Trondheim, Norway. The candidates will join and become part of an international research environment in quantum condensed matter theory and experiments.
Deadline : 5th February 2024
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD position at Center for Quantum Spintronics (QuSpin)
A PhD position is available at the Center of Quantum Spintronics which is part of the Department of Physics, NTNU in Trondheim, Norway. The candidates will join and become part of an international research environment in quantum condensed matter theory and experiments.
Deadline : 5th February 2024
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Information Systems
We are seeking talented and self-motivating master graduates with commitment to in-depth empirical studies on the topic of digital transformation in practice. The position will be affiliated with IDI’s research group on Applied Information Technology (AIT).
The fellowship will be part of our research on digital transformation from a sociotechnical perspective, which highlights the interaction between technological development and organizational processes and concerns. The aim of the fellowship is to contribute original knowledge and valuable insights into this dynamic relationship going beyond mere technological promises and managerial visions when it comes to digital transformation. More specific, the fellowship will focus on digital workplace transformation and seek to examine the interplay between work practices and digital transformation, and how this can be facilitated and managed. Central topics of investigation will include digital transformation, digital workplace and work, new ways of working, digital culture, digital leaders, and other related topics.
Deadline : 5th February 2024
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Process Design and Optimization
The Sustainable Energy Systems research group in Department of Energy and Process Engineering at Norwegian University of Science and Technology (NTNU) is searching for excellent applicants for a PhD position. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
The topic of the PhD work will be design and optimization of processes for methanol production from biogas in an EU project focused on developing sustainable shipping fuels and building a full-scale demonstration plant. The overall objective of the PhD project is to improve the performance of the methanol production process and develop the concept further. Modelling, simulation and optimization of unit operations and the overall process are important research activities to reach this target. In addition, opportunities for integration of hydrogen produced from renewable energy and captured carbon dioxide for increased production and flexibility will be investigated. The potential for heat and work integration to further improve the energy efficiency of the process will also be examined.
Deadline : 4th February 2024
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Safety-aware predictive control methods with robust contingency plans
This PhD position is funded by the Marie Skłodowska-Curie European Training Network „PROSAFE“, which aims to train a cohort of 12 doctoral students based at universities and companies throughout Europe in the domain of application of machine learning/AI and process systems engineering to advance foundations of process safety. The candidate will be part of a multinational team and will be given opportunities to participate in professional and personal development training and undertake research within multidisciplinary fields of AI/ML and PSE for safe and efficient process operations.
The overall objective of the research in this project is to develop novel algorithms for short term optimal operation that always provide contingency plans to bring a process plant (e.g. hydrogen production) to a safe operation regime. The idea is to systematically combine methods from robust model predictive control, state estimation with online risk monitoring methods to account for fault scenarios, and to provide prioritized routes to reach a safe operation region. The contingency plans will consider the present state of the plant, as well as possible future degradation, maintenance and safety actions, while rigorously taking uncertainty into account. A case study for hydrogen production and liquefaction will be used to demonstrate the capability and robustness of the approach.
Deadline : 2nd February 2024
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Learning-based health-aware operation and maintenance planning for improved safety
This PhD position is funded by the Marie Skłodowska-Curie European Training Network „PROSAFE“, which aims to train a cohort of 12 doctoral students based at universities and companies throughout Europe in the domain of application of machine learning/AI and process systems engineering to advance foundations of process safety. The candidate will be part of a multinational team and will be given opportunities to participate in professional and personal development training and undertake research within multidisciplinary fields of AI/ML and PSE for safe and efficient process operations.
The objective of this PhD project is to develop a framework for learning-based integrated optimization of long-term operation and maintenance decisions for complex chemical processes where process faults can have very large consequences. Possible examples to consider include green hydrogen production or liquid natural gas handling. In this project, knowledge-based models, such as mass and energy balances, and data-driven online learning of uncertain and unmodeled degradation phenomena by using tools such as Neural networks, will be combined to always ensure safe and economical operation. To make integrated plant operation and maintenance decisions in an optimal way, we will use state estimation techniques to find parameter values of the first principle models, and advanced data-science techniques to determine the current equipment state and build a long-term prognostic model for planning operation and maintenance. A key aspect of this work will be to take into account uncertainty in the model and operating conditions, and to include this systematically in the decision framework.
Deadline : 2nd February 2024
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Hybrid, regressible, and robust machine learning solutions for abnormal event id
The primary goal entails formulating a hybrid, regressible, and robust Machine Learning (ML) methodology designed to recognize irregular events by assimilating phenomenological understanding of the process, historical hazard and operability data. The ML models will be crafted following an uncertainty-aware approach to enhance their reliability. This will involve identifying epistemic and aleatory uncertainties during the modeling phase and subsequently incorporating these uncertainties into the model predictions.
The main purpose of these models is to identify deviations accurately and reliably from standard operations, thereby aiding decision-making processes. As a result, the output will not merely be a single model but a comprehensive probability distribution of potential models. This model distribution will subsequently undergo a regression process to condense the ML model order into an understandable domain, resulting in a probability distribution of interpretable models.
The non-extensive statistical mechanics framework will be systematically examined to delineate the structure of failure models, utilizing generalized probability distributions. Furthermore, the assessment of fault propagation involves the representation of intricate systems employing a Systems of Systems (SoS) architecture, thereby enhancing the interpretability of the interdependencies among the reliability of subsystems. These models will also accommodate online learning based on continually generated data. This online learning will enhance the model’s reliability by monitoring the models’ predictions vis-à-vis measured data and updating the models when required
Deadline : 2nd February 2024
(23) PhD Degree – Fully Funded
PhD position summary/title: 3PhD Scholarships in Process Systems Engineering and AI/ML for Process Safety Applications- PROSAFE
We are looking to recruit 3 Doctoral Candidates (DCs) as part of PROSAFE MSCA doctoral training network. The recruited DCs will have the opportunity to work as part of an international team of 12 doctoral candidates based at universities and companies throughout Europe. DCs will have multiple opportunities to participate in professional and personal development training and undertake research within multidisciplinary fields of AI/ML and PSE for safe and efficient process operations.
This position is fully funded by the Marie Skłodowska-Curie European Training Network „PROSAFE“, which aims to train a cohort of 12 doctoral students in the domain of application of machine learning/AI, and process systems engineering to advance foundations of process safety.
If you are establishing your career as a young professional in process systems engineering and machine learning/AI and looking to expand your professional network in process industries studying the safe transition to renewable and sustainable process industries, here you have a unique opportunity.
Deadline : 2nd February 2024
(24) PhD Degree – Fully Funded
PhD position summary/title: Two PhD Candidates within high temperature material science
Candidates with strong interest in metallurgical processes holding MSc degree in materials science or similar are invited to apply. The PhD candidate will be a part of a research group of about 20 PhD candidates and Postdocs. The PhD candidate will also work closely with research institutions like SINTEF and the Norwegian Mn-ferroalloy industry. One of the candidates with work on the prereduction of Mn-ores using H2-gas in a center called HydrogenI, while the other will investigate the slag-carbon reactivity of Mn-slags in a project called Biomet.
Deadline : 1st February 2024
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in micromechanically based modelling of plastic flow and fracture in aluminium alloys
Aluminium alloys are polycrystalline solids with a complex microstructure that consists of numerous grains and particles of many sizes and shapes. To be useful for structural applications, the alloys are subjected to various heat treatments and forming processes that change the microstructure and mechanical properties, such as strength and ductility. While the strength is controlled by nano-sized particles and solute atoms in the microstructure, the ductility of an alloy depends on many factors. Ductile fracture is often linked to the nucleation, growth, and coalescence of voids from the microscopic particles. These particles are still much smaller than the grains that gives rise to plastic anisotropy. Micromechanically based modelling therefore requires a combination of models that resolve the underlying mechanisms at the relevant scales.
Deadline : 1st February 2024
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Geotechnical Engineering
We have a vacancy for a three-year PhD fellowship at the department of Civil and environmental engineering at NTNU. The topic for the PhD project is to reduce the uncertainties of wind turbine foundation performance by analysis ofinstallation data.
Deadline : 1st February 2024
(27) PhD Degree – Fully Funded
PhD position summary/title: Two PhD fellowships in Mathematical Sciences
The Department of Mathematical Sciences at NTNU is Norway’s largest university environment within mathematical sciences with 80 permanent staff members and more than 100 doctoral students and postdoctoral fellows.
The department conducts research at an international high level within the disciplines of algebra, analysis, didactics of mathematics, differential equations, geometry/topology, numerical analysis, optimization, and statistics. Part of the research is also carried out in close cooperation with other fields of science and technology at NTNU, as well as in cooperation with industry and external research institutions.
Deadline : 31st January 2024
(28) PhD Degree – Fully Funded
PhD position summary/title: PhD candidates in Green Energy Infrastructure for Coastal Shipping
We have vacancies for two PhD candidates at the Department of Ocean Operations and Civil Engineering. The positions are temporary for three years. Desired start-up date is March 2024, but can be adjustable depending on the individual candidate and the team configuration.
Deadline : 31st January 2024
(29) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate: “Fourier Methods and Multiplicative Analysis” (FOURMULA)
The position is part of the project “Fourier Methods and Multiplicative Analysis” (Fourmula) funded by the Research Council of Norway through its programme for groundbreaking research (FRIPRO). The proposal consists of three topics: (A) Analysis on the Riemann zeta function, (B) multiplicative analysis, and (C) Fourier interpolation and quasicrystals. Parts (B) and (C) represent emerging fields of analysis and are interconnected via their link to part (A).
The core team of Fourmula consists of Professors Eugenia Malinnikova and Kristian Seip and Associate Professors Andriy Bondarenko, Sigrid Grepstad, and Karl-Mikael Perfekt. Professor Seip is the Principal Investigator of the project.
Deadline : 31st January 2024
(30) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in innovative design of drivetrains for large floating offshore wind turbines
The Department of Marine Technology at the Norwegian University of Science and Technology (NTNU) has a vacancy for a PhD Candidate for an EU funded project: Innovative circular materials and design methods for the development of Floating Wind Turbine components for offshore Wind Farms of the future (Made4Wind). The PhD Candidate will be mainly working in the work package 5 (WP5) “Innovative compact, lightweighted and more reliable drivetrain design”, led by NTNU.
The main task of this PhD project is to develop tools and methods for designing a compact, optimized and lightweight, high power density drivetrain in order to obtain the most cost-effective option for large floating offshore wind turbines. The layout and configuration of drivetrain significantly impacts the weight and reliability of the wind turbine. The support structure design may also influence the choice of drivetrain technology in floating wind turbines. Drivetrain in this context includes main bearing, gearbox and generator – the generator design is carried out by another project partner. Thanks to our industrial collaborations in this project, the candidate will gain significant industrial insights in EU. The candidate will also actively participate in symposia, workshops and international conferences
Deadline : 31st January 2024
(31) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Generative AI Methods for Robotic Manipulation
We are seeking an ambitious PhD candidate to join the Robotics and Automation research group. Here, you will be part of an innovative group of researchers working on cutting-edge AI-technologies for robotics and automation and sharing this research with the world. You will be responsible for pushing the state of the art in robotic manipulation, by developing novel generative AI algorithms that leverage robotic systems equipped with advanced grippers and rich sensing modalities.
Deadline : 31st January 2024
(32) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Thermodynamics of ammonia-water mixtures
The period of employment of this position is 3 years, with possible extension due to teaching. The position will be in the Thermodynamics group at the Department of Chemistry at NTNU.
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.
Deadline : 28th January 2024
(33) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Thermodynamics and Porous Media Science
The period of employment of this position is 3 years, with possible extension due to teaching. The position will be in the Thermodynamics group at the Department of Chemistry at NTNU, and also part of Porelab, which is a research centre of excellence within Porous media.
PoreLab is a Norwegian Center of Excellence created in 2017 and situated at the Norwegian University of Science and Technology (NTNU) in Trondheim, and the University of Oslo (UiO)
The Center, which is supported by the Research Council of Norway, is an interdisciplinary Center with joint efforts in theory, computer simulations and experiments, in fundamental and applied directions. The center works to advance the understanding of flow in porous media. The main goal of the center is to develop theories, principles, tools and methods to reduce the trial and error approach to porous media with relevance in biology, chemistry, geology and geophysics based on fluid mechanics, non-equilibrium thermodynamics and statistical mechanics.
Deadline : 28th January 2024
(34) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate within Mass Transfer in Gas Fermentation Bioreactors
The PhD position is part of a research-based innovation centre on industrial biotechnology (SFI-IB) which is constituted by universities, research organizations, and industry. This PhD project focuses on gas fermentation where gases with low solubility challenge economical and viable large-scale operation of the multiphase bioreactor. To realize new viable industrial-scale fermentation processes, the multiphase bioreactor must be designed and operated such that the mass transfer between bubbles and liquid is optimized. This project aims to use both experimental and computational techniques to understand the favorable operation window for gas fermentation processes. This project is in collaboration with an industrial partner who is developing a proprietary gas fermentation process to convert waste CO2 emissions into chemicals. The novel gas fermentation process by the SFI-IB industrial partner is a relevant case in this PhD project.
Deadline : 24th January 2024
(35) PhD Degree – Fully Funded
PhD position summary/title: Two PhD Candidates in Plant Cell or Plant Stress Biology
Two positions for PhD students, funded for three years, are available in the Hamann research group in the ERC SYNERGY project HYDROSENSING at the Department of Biology in Trondheim The project aims to determine how plants perceive drought stress and will involve close collaborations with three other research groups in Germany, Israel and the United Kingdom. The PhD projects will characterize the molecular processes responsible for induction of abscisic acid, a phytohormone modulating plant responses to drought. The work will involve either functional characterization of candidates derived from omics experiments or development and application of novel biosensors to characterize cellular processes. Further information about the research areas of the groups involved in the SYNERGY project can be found in the following publications: Hu et al., Nature Plants 2023; Mehra et al., Science 2022; Bacete et al., PNAS 2021; Vaahtera et al., Nature Plants 2019.
Deadline :21st January 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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