KTH Royal Institute of Technology, Stockholm, Sweden 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 KTH Royal Institute of Technology, Stockholm, Sweden.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in AI Machine Learning in Ship Hydrodynamics
The scope of the project encompasses the integration of AI ML methodologies in the field of ship hydrodynamics. The primary focuses are directed towards developing a digital ship design process, building a geometry modification process for ship hull form design, developing a basic decision support system for ship hydrodynamic design, implementing artificial intelligence machine learning methods in ship hydrodynamic design as part of the proposed digital design process. By leveraging AI-driven approaches, the project aims to enhance the efficiency and accuracy of these crucial aspects of ship design, ultimately contributing to more sustainable and technologically advanced vessels in the maritime industry. Through this comprehensive scope, the project endeavors to push the boundaries of ship hydrodynamics and leverage the potential of machine learning for the betterment of ship design practices.
Deadline : 15.Dec.2023
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Future Ship Design for Decarbonisation
In the current project, a Digital Twin (DT) as a next-generation solution for ship design and operational optimization is developed that introduces an open virtual testbed for future ship design for decarbonisation. In fact, the DT architecture and its application framework will be a virtual testbed capable of development for different ship types focusing on wind-assisted propulsion ships as the validation and verification test case. The main focuses of the project will be on exploring DT applications in sustainable and digital ship design, developing DT based on a specific architecture and application framework for wind assisted propulsion ships, and implementing the developed digital twin to analyze the impact of decarbonisation technologies (focusing on sails).
Deadline : 15.Dec.2023
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in machine learning for non-Newtonian turbulence
The goal of this project is to use machine learning to develop wall models in non-Newtonian flows, with the aim of achieving high Reynolds number with high accuracy and a reduced computational cost. In particular, we will use deep reinforcement learning to produce the wall model, in a way that it is consistent with the flow and the numerics. We will also perform simulations of viscoelastic flow in more complex scenarios with the developed wall model. The researcher will have access to the multi-peta scale supercomputing facilities available at KTH, in conjunction with the Swedish e-Science Research Centre (SeRC, www.e-science.se) and will become part of the excellent research environment FLOW (www.flow.kth.se).
Deadline : 11.Dec.2023
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Integrated Energy Systems for Sustainable Development
The division of Energy Systems within the Department of Energy Technology at KTH has received funding from the UK-funded Climate Compatible Growth Program (CCG) for research in integrated Climate-Land-Energy-Water systems (CLEWs) modelling. The research aims to support sustainable development through integrated planning, considering different dimensions of sustainable development. The research will focus on integrated resource optimization and stakeholder engagement for resource-management and energy policy planning in Zambia and Laos. As a PhD student, you will mainly work with resource optimization in long-term scenarios to support national development strategies. The models are built in the OSeMOSYS tool. Participation with national stakeholders to define the context, shape scenarios, and transfer modeling capacity will be an integral aspect of the research project. This involvement will be facilitated through collaborative initiatives, including the EU-funded project RE-INTEGRATE and UN-funded technical assistance programs operating within the chosen countries.
Deadline : 08.Dec.2023
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Compressible Fluid Dynamics
The project aims at developing robust, reliable and effective techniques for generation of extreme conditions in fluids. Having developed an experimental facility based on electrically induced wire explosion, high pressures, in the range of GPas, in fluids are to be produced with limited resources available in everyday research environment. A unique integration of approaches and resources in high voltage engineering and plasma physics applications will be applied towards classical problems of compressible fluid dynamics. The project investigates by experiment, computation and theory the major physical properties of imploding shock waves in liquids, offers approaches to enhance efficiency of the focal energy concentration, and studies the behavior of matter at such extreme states. The nature of this study is multi-disciplinary, while primarily, it will be carried out at the Fluid Mechanics division within KTH Department of Engineering Mechanics. The project is a part of the ERC-funded project DYNPRESS.
Deadline :08.Dec.2023
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in dynamic compression/tension for cellulose treatment
We are seeking a highly motivated PhD candidate to join our team in developing novel experimental techniques for generating rapid compression and expansion waves in liquids. You will study the dynamics, quality and precision of focusing such waves, and resulting phenomena like cavitation. Your work will provide new insights into matters under extreme pressures and tensions. Your work will have important applications in cellulose processing. You will explore using compression and tension pulses to disintegrate, homogenize, and fibrillate cellulose fibers efficiently. This project provides a unique opportunity to gain expertise with cutting-edge high-speed measurement techniques and simulations while also contributing to more sustainable production of novel nano- and micro-cellulose materials. The ideal candidate is a creative person excited to become an independent researcher and take on a multidisciplinary role at the intersection of Fluid Mechanics, Solid Mechanics, and Materials Science. You will collaborate closely with our diverse, supportive team from the Fluid and Solid Mechanics divisions and have access to state-of-the-art facilities at KTH Royal Institute of Technology.
Deadline : 08.Dec.2023
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in rail vehicle technology, focus on condition monitoring
Condition monitoring of rail traffic systems plays an increasingly important role when it comes to streamlining maintenance and increasing reliability in traffic. Condition monitoring paves the way for a transition from time-based to condition-based maintenance which can improve the reliability and availability of the system, reduce costs and increase the system awareness of infrastructure managers and train operators. A key area is condition monitoring of the dynamic interaction between vehicle and track. Your task will be to, in close collaboration with the rail traffic system’s stakeholders, propose methods within condition monitoring to detect deficiencies in the system’s dynamics and quickly and efficiently take appropriate measures. The work includes measurements and simulations of these dynamics (vibrations, etc.) at different operating conditions. Signal processing, analysis of large data sets and machine learning are also important parts of the work, which will also be partially conducted within the EU’s major research program Europe’s Rail.
Deadline : 2023-12-07
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Electricity Market Optimization
European states (and Sweden) are working toward a sustainable intermittent renewable future. This green vision has brought about several important challenges. One of the major challenges is the increasing complexity in the Single Day-ahead Coupling (SDAC) model. First, the Market Time Unit (MTU) is planned to be reduced from 1 hour to 15 minutes. This roughly means an optimization model four times larger than what we have now. Second, the type and number of nonconvex orders are expected to increase by growing share of intermittent renewable generation. This in turn creates increasing complexity in calculating uniform prices. Third, Joint optimization of energy and balancing reserves in the day-ahead market which requires innovate algorithms to solve the SDAC model. In this project we propose to study these three issues and to develop policies to address these concerns, with the ultimate aim of improving the performance of the SDAC model and smoothing the transition to the 100% renewable future. More Info
Deadline : 01.Dec.2023
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in theoretical analysis of 6G wireless communications
The project will be carried out within the framework of the new Vinnova center SweWIN. The goal of the center is research striving toward 6th generation systems and beyond, with focus on sustainability, robustness, reliability and privacy. The PhD student will work with communication and information theoretic tools to analyze and synthesize novel techniques for wireless transmission.
Deadline : 01.Dec.2023
(10) PhD Degree – Fully Funded
PhD position summary/title: 5 Doctoral students in Sustainable Materials Engineering
Green Steel for a Fossil-free Future is a major Swedish and EU-financed initiative with objectives to shape advanced theory, models and practical knowledge for transforming the Swedish steel industry. The intent is to enable the production of new advanced, materials engineered, products – without the use of fossil fuels – in a way that avoids waste and uses recycled and sustainably sourced material inputs. Five PhD students at KTH will work together with PhD students and a range of experts from KTH, Luleå University of Technology and industry. Students will participate in a PhD programme and innovation journey that provides an overview of the major advances of scientific knowledge in the field of materials sustainability as well as study visits to ongoing sustainability transformations e.g. Hybrit. Each student will focus on their own specific research project that addresses a particular sustainability challenge. All projects will involve theory development that requires a combination of experimental and modelling work.
Deadline : 30.Nov.2023
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in process metallurgy
The focus of the project is to substitute fossil combustion processes with innovative electric technologies, such as electric resistance heating and microwave heating. Use cases are considered, targeting the production of refractory bricks and preheating processes in steel making. For these specific applications, appropriate demonstration plants have to be designed, built, tested close to the process and validated. This is supported by corresponding activities to provide suitable high-temperature materials and tools for instrumentation and effective process control. Challenges regarding thermal load management or intelligent energy management are simulated by means of numerical models. In the pilot-scale research, computational simulations will be performed with specialized CFD software packages to design the heating systems. Along with the modeling work, laboratory investigations will be carried out to define suitable high-temperature materials In the later stages of the study, comprehensive plant trials at industrial sites will be conducted for further verification.
Deadline : 30.Nov.2023
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(12) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in the properties and durability of shotcrete
For the Department of Concrete Construction at the Department of Building Science, we are looking for a PhD student for a project focusing on the properties of shotcrete. The properties of the material when it is used for rock reinforcement and repairs of existing concrete structures must be studied. Shotcrete gets different properties compared to the corresponding cast concrete because the material is applied and compacted using compressed air instead of being cast and vibrated. When spraying, an accelerator is also added to achieve rapid hardening and adhesion to the substrate. This combined with a higher cement content, smaller aggregate fractions than in cast concrete and the fact that fiber reinforcement is often used gives shotcrete its unique material properties. The goal of the project is to determine how the properties that shotcrete exhibits in a field environment, for example in a tunnel, relate to the properties that material samples exhibit when tested in a laboratory. Particular focus is placed on how fibers of different materials interact with the concrete, also in a long-term perspective, which is investigated through testing in the field and laboratory and verified with numerical calculations. The project should result in recommendations for how durable, efficient and safe shotcrete constructions should be designed.
Deadline : 2023-11-30
(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate) in norm-critical design of the smart home.
The project focuses on flexibility in the electricity system of the future, which is assumed to be achieved through increased automation of homes. Goal conflicts are examined between ecological and social sustainability that arise in the gap between the ambition of technical efficiency and issues connected to our designed living environment which include equality, democracy, power and trust. The analysis takes place from an intersectional perspective, where societal structures that risk standing in the way of a democratic future electricity network are visible. The project collaborates with private and civil society actors with the aim of transferring the project’s results into practical work.
Deadline : 2023-11-30
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in secure networked control systems
The Division of Decision and Control Systems and the Division of Network and Systems Engineering are looking for two doctoral students with a very strong background and interest in control systems, mathematics, Bayesian inference, and modeling. The successful candidates will join a project on developing rigorous, novel tools for the fundamental understanding and engineering design of secure networked control systems. In particular, the focus will lie on the development of quantitative risk analysis tools for networked control systems with machine learning components and of algorithms for the detection of cyber-physical attacks, within the framework of a new WASP-project. The Division of Decision and Control Systems and the Division of Network and Systems Engineering conduct fundamental research in networked control systems, cyber-physical systems, system identification, and transport systems. Industrial projects involve partners such as ABB, Ericsson, and Scania. A major part of the research is conducted within the framework of the Wallenberg AI, Autonomous Systems and Software Program WASP. We have an extensive academic network and collaborate with researchers at Caltech, MIT, UC Berkeley, UIUC, Stanford, among others.
Deadline : 30.Nov.2023
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Solid Mechanics
We are looking for a PhD student in the project ‘Model for predicting capacity losses in lithium-ion battery modules’. Charging and discharging of lithium-ion batteries leads to swelling and shrinking of the electrodes, causing mechanical degradation and capacity fade over time. This project aims to develop coupled thermomechanical and electrochemical models to predict capacity loss as a function of a number of charging cycles. The models will capture stresses, strains, swelling behaviour and capacity loss on scales ranging from electrode layers to complete battery modules. Both reversible and irreversible swelling will be modelled and related to the battery’s state of health. The models will be experimentally verified at laboratory and full battery system levels. Results will be used to provide guidelines for optimal battery design, mechanical encapsulation and operating conditions to maximise lifetime. The project involves close collaboration with battery manufacturers and automotive companies. The work will lead to a tool integrated into commercial software for direct application in industry. The project is funded by the Swedish Energy Agency. The project will be carried out in collaboration with the Department of Electrochemistry at KTH, where certain model experiments will be conducted. There is also a close collaboration with Scania CV AB and Northvolt AB.
Deadline : 30.Nov.2023
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in artificial intelligence for wireless communications
We are seeking 2 PhD students with a strong background and interest in Mathematics, Optimization, Machine Learning, and Wireless Networks.
Deadline :30.Nov.2023
(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Foundation Models for EO Big Data
We are excited to announce a new PhD position in “Foundation Models for Earth Observation Big Data” This research opportunity will center on the development of cutting-edge self-supervised models and strategies aimed at harnessing the vast potential of multi-modal, multi-temporal, and multi-resolution satellite imagery. The focus of this doctoral research will be on creating innovative models that not only capture complex spatiotemporal patterns but also enhance various downstream tasks, including change detection, segmentation, and regression. If you are passionate about advancing the field of Earth observation with artificial intelligence and have a strong background in machine learning, computer vision, or remote sensing, we encourage you to apply and be part of this journey towards revolutionizing Earth observation big data analysis.
Deadline : 30.Nov.2023
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Transport Science
The adoption and integration of innovative supply chain and logistics solutions are pivotal for the manufacturing industry in its ongoing transition towards sustainable practices. The Division of Transport and Systems Analysis at KTH is seeking a highly qualified candidate for a doctoral position for a project in Transport Logistics. The applicant will investigate innovative logistics solutions to address critical logistics challenges for performance and sustainability. The primary methods will involve simulation (e.g., agent-based models) and optimization, which also includes techniques from machine learning. The doctoral project will be conducted in collaboration between academic institutions and industry.
Deadline : 30.Nov.2023
(19) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in building energy system control
In the transition toward low-energy buildings and the 5th generation of district heating, using data-driven approaches to integrate decentralized renewables with optimal control will play a vital role. You will join an exciting research team and interdisciplinary EU project to develop and apply machine learning (ML) techniques, novel system control and optimization methods to integrate/operate various thermal storage and building HVAC systems. You will perform dynamic simulations of energy operation (both thermal and power), as well as testing the developed ML methods/control solutions in multiple live-in-labs across Europe. You will work closely with a large number of industry partners and other researchers to manage project deliverables. Additionally, you will be also expected to perform limited percentages of department duties, i.e., teaching, supervisions of thesis students, etc.
Deadline : 28.Nov.2023
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(20) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Nuclear Power Safety
The Division of Nuclear Power Safety conducts research on accident phenomena of risk importance to existing and future nuclear reactors, and performs safety analysis for nuclear power plants, including design basis accident analysis and severe accident analysis. The research projects involve extensive international cooperation. We are looking for a doctoral student to carry out frontier research on modeling of severe accident phenomena in nuclear reactors and perform safety analysis for nuclear power plants. The successful candidate is expected to (i) develop models/approaches for coupled thermo-mechanical analyses of vessel wall under mechanical and thermal loads; (ii) qualify the models/approaches; and (iii) apply the models/approaches to vessel failure analyses during severe accidents of nuclear reactors.
Deadline :27.Nov.2023
(21) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Open Science for Energy System Analysis
The division of Energy Systems within the Department of Energy Technology at KTH has received funding from the UK Foreign Commonwealth and Development Office for the UK-PACT Kenya Project and Climate Compatible Growth Programme for research into open data management to support energy planning. The research will investigate and support the development of a national data repository for Kenya. More broadly, the research will explore the role of Open Science in the planning of energy systems and development goals. The research will focus on data workflows to inform tools such as OSeMOSYS, and stakeholder engagement for energy policy planning in Kenya and later, one or two countries in Africa or South East Asia. As a PhD student, you will work with a range of mixed-method approaches, including literature review, interviews, data pipelines and scripting or programming. Interaction with national stakeholders in Kenya and international organisations working in a development context will be an integral aspect of the research project. There will be an opportunity to travel internationally for field work, project meetings and conferences.
Deadline :24.Nov.2023
(22) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in theoretical condensed matter physics
Quantum materials have stimulated a host of new ideas based on unconventional correlated, entangled, and topological orders. Correlations, entanglement, novel dynamic orders determine the properties of quantum materials and naturally reveal themselves in the time domain. We seek a qualified PhD student to work on Dynamical Quantum Matter with particular focus on dynamic superconducting states, odd-frequency superconductivity, dynamic multiferroicity and Dirac materials. Work will be done in the context of the ERC Synergy project on hidden, entangled and resonating orders (HERO)
Deadline : 20.Nov.2023
(23) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in Visual Optics
Two PhD student positions are open at the Visual Optics group at KTH (https://www.aphys.kth.se/biox/research/vio) within the ACTIVA project, “Advanced Customized Technologies for Intact Vision in Ageing”, funded by EC MSCA Doctoral Network (www.kth.se/activa). ACTIVA provides international training at the interface of physics and medicine to develop novel techniques facilitating intact vision with age. The PhD students should have a background in applied physics, optometry, or a related discipline relevant for the project and will be responsible for one separate workpackage each:
Deadline :20.Nov.2023
(24) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in Systems Biology focusing on Precision Medicine
The subject concerns data-driven research on proteomics-based precision medicine and developing protein-based diagnostic computational tools. The student will employ data-driven methods to integrate molecular and clinical data to facilitate translational research with an emphasis on diagnostic applications. This research aims to enhance precision medicine through proteomics and transcriptomics, and to develop computational tools for diagnosing diseases based on protein levels. The PhD student will use data-driven techniques to combine molecular and clinical data, supporting research that can quickly move from the lab to real-world diagnostic applications. The main job is to conduct protein-based research in data-driven life science projects at SciLifeLab. The primary goal for the PhD student is to explore protein datasets, and develop AI models or other modeling methods to improve how we measure proteins. Senior researchers from the Division of Systems Biology, Department of Protein Science, will mentor the PhD student. The position also includes teaching and other duties in the department.
Deadline : 20.Nov.2023
(25) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in spectroelectrochemistry
The project is part of the ERC-StG ongoing grant and will explore the use of spectroelectrochemistry to understand interconnected processes occurring at the interfaces between chemical sensors.
Deadline :2023-11-20
(26) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Electricity Hedge Markets in Nordic Region
Around the world, electricity spot prices tend to be highly volatile, varying both across time and across locations on the network. For this reason, as with many other commodities, financial markets have emerged for mitigating the risk and providing signals to investors. The market participants who trade in electricity across different pricing areas are exposed to locational basis risk – the difference in the price between the point at which the electricity is injected into the network and the point at which it is withdrawn. However, these inter-locational hedging instruments have not been subject to the same degree of development or attention as the inter-temporal hedging instruments. The Electricity Price Area Differentials or EPAD contract is one such inter-locational hedging instrument which allows members on the power exchange to hedge against the area-price risk. The EPAD is a spread contract between one bidding-area price and the Nordic system price. However, some concerns have been raised with available hedging instruments in the Nordic region:
Deadline : 19.Nov.2023
About KTH Royal Institute of Technology, Stockholm, Sweden – Official Website
KTH Royal Institute of Technology, abbreviated KTH, is a public research university in Stockholm, Sweden. KTH conducts research and education within engineering and technology, and is Sweden’s largest technical university. Currently, KTH consists of five schools with four campuses in and around Stockholm.
KTH was established in 1827 as Teknologiska Institutet (Institute of Technology), and had its roots in Mekaniska skolan (School of Mechanics) that was established in 1798 in Stockholm. But the origin of KTH dates back to the predecessor to Mekaniska skolan, the Laboratorium Mechanicum, which was established in 1697 by Swedish scientist and innovator Christopher Polhem. Laboratorium Mechanicum combined education technology, a laboratory and an exhibition space for innovations. In 1877 KTH received its current name, Kungliga Tekniska högskolan (KTH Royal Institute of Technology). The King of Sweden Carl XVI Gustaf is the High Protector of KTH.
KTH is the highest ranked technical university in Sweden. It is ranked top 100 in the world among all universities in the 2020 QS World University Rankings.
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