Are you holding Master’s degree and ready to elevate your academic journey to the highest level? KTH Royal Institute of Technology, Stockholm, Sweden, has announced a multiple fully funded PhD positions awaiting talented individuals like you. Don’t miss your chance to be part of our vibrant academic community. Explore the exciting PhD positions available and submit your application today!”
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible.
(01) Fully Funded PhD Position
PhD position summary/title:– Doctoral students in Networked Systems Security
We invite applications for doctoral student positions with the Networked Systems Security (NSS) lab at EECS/SCS. We are looking for highly motivated individuals to pursue a PhD in security and privacy. The positions involve activities leading to original research and results in peer-reviewed publications. The research topics can relate with any of the NSS group areas (https://www.eecs.kth.se/nss).
The NSS group designs and builds trustworthy networked systems, with a research agenda covering a gamut of security and privacy problems and results that got significant attention by the research community. NSS introduced a new security curriculum at KTH. Candidates with experimental/systems or theoretical profiles and research interests in any aspect of security and privacy are welcome to apply.
Deadline : 17.Nov.2024
(02) Fully Funded PhD Position
PhD position summary/title:– Doctoral students in learning and optimization for edge computing
The Division of Network and Systems Engineering is looking for two doctoral students with a very strong background and interest in system modeling, optimization, and machine learning. The successful candidate will join a MSCA Doctoral Network project on developing rigorous, novel tools for safe and prompt learning and optimization of distributed network infrastructures. A strong focus will lie on the development of algorithms that include machine learning components, and on cooperation with industrial partners and with the TECoSA competence center at KTH.
The Division of Network and Systems Engineering conducts fundamental research in networked systems, wireless communications and cyber security. Industrial projects involve partners such as Ericsson, Atlas Copco and Telenor. Part of the research is conducted within the framework of the Wallenberg AI, Autonomous Systems and Software Program and in Digital Futures. We have an extensive academic network and collaborate with researchers at MIT, UIUC, Stanford, EPFL, among others.
Deadline : 13.Oct.2024
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(03) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in Nuclear Power Safety
The group of Nuclear Power Safety in Nuclear Science and Engineering (NSE) Division 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 two doctoral students to carry out frontier research on (ii) interactions of core melt with below-RPV structures during severe accidents of light water reactors; and (ii) natural circulations in advanced water and lead cooled nuclear reactors. The doctoral student projects are supported by the funds from the APRI-12 program and Radiation Safety Authority (SSM).
The successful candidate is expected to (i) perform experimental and analytical studies on melt-structure interactions important to ex-vessel corium risk analysis of light water reactors; and (ii) develop models and perform validations for simulations for natural circulations in advanced water and lead cooled nuclear reactors. The U.S. NRC simulation codes, such as TRACE for thermal-hydraulics and severe accidents, are expected to be employed in the project of natural circulation.
Deadline : 07.Oct.2024
(04) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in Developing Bio-based Solutions for Eco-friendly Pavement Infrastructures
Deadline : 04.Oct.2024
(05) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in Engineering Materials Science
We are looking for a PhD student in material characterization and its connection to physical modeling at the Hultgren Lab unit of the Department of Materials Science and Engineering. This doctoral position is aimed at enabling sustainable industrial transformations by establishing high-throughput material characterization research at large-scale synchrotron and neutron facilities, e.g. PETRA III in Hamburg and ILL in Grenoble, and also in lab-scale. This will involve the development of new methods and test environments to be able to simulate industrial manufacturing processes and to be able to study the microstructure development of materials effectively. Furthermore, new analysis approaches will be developed to be able to handle the large amount of data generated in the large-scale experiments, and so we will explore AI methods for analysis and work with automation as far as possible. Therefore, interest in both experimental measurements as well as analysis and programming is important for this doctoral position. The high-throughput methodology that will be developed is material agnostic, but we will apply the methodology to advanced steels, nickel superalloys and cemented carbide for proof-of-concept and to generate important information for sustainable transformations in these material areas.
The work will take place in collaboration with partners from academia, research institutes, companies and large-scale infrastructures. Furthermore, the doctoral education takes place in collaboration with international partners and will include some travel to various large-scale infrastructures around the world.
Deadline : 03.Oct.2024
(06) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in aeromechanics of aircraft engines
Long-term operation and unfavorable conditions may lead to degradation of the aerodynamic performance of aero-engines over time, which can increase fuel consumption alongside the emissions associated to it. Repair of aero-engine components is also very important concerning sustainability, as performance lost to degradation and damages could be recovered, avoiding costly replacements of the engine components. Improved diagnostics using sensors and advanced algorithms could thus improve material utilization and availability, thereby positively impacting in the sustainability of the aviation sector.
In this way, the research project will focus on aerodynamic and aeromechanical evaluation and detection of degraded and damaged fan- and compressor blades, and related repair actions in modern aero engines. Specifically, the main goals of the PhD work will be to design, plan and perform the experiments in a test rig, and to develop and validate suitable numerical models for aeromechanical studies of nominal, damaged, and repaired compressor blades. In doing so, the PhD candidate will also work with the development of a machine learning model trained on experimental and virtual data, able to detect when and where damage has occurred, and what is the extent of the detected damage. The PhD candidate is expected to spend a period of the doctoral studies at the University of Stuttgart, where part of the experimental campaigns will take place.
The Turbomachinery and Propulsion group at the Department of Energy Technology, which this project falls under, is a well-established research group with many years of experience from both EU projects, national program research and commissioned research in collaboration with Swedish and international industry and/or academia. This research project is part of the Swedish National Aviation Research Program (NFFP8) with funding from Vinnova. As the research foreseen by this project is to a high extent applied research, it includes close collaboration with an industrial partner in the project.
Deadline : 03.Oct.2024
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(07) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in nuclear materials science
We are looking for two PhD students to work with advanced nuclear materials. The two PhD projects are aimed at a) modeling the behavior and properties of new coatings for light water reactor cladding tubes using atomistic simulations; and b) to study the radiation damage physics of advanced steels using experiments and modelling, and in particular to develop an experimental environment to irradiate new materials at low temperatures and observe their behaviour.
The two PhD students will collaborate nationally as well as internationally with several different partner universities and companies and both projects will be connected to the Nuclear Materials Platform NuMaP. The students will be part of a multidisciplinary team of researchers and students.
The projects contain both modeling and experiments, directly or indirectly. Multiscale modeling based on electronic structure calculations will form the basis of the theoretical part and will be compared experimentally with the help of ion irradiation and detailed material investigation. Some materials are developed within the projects.
Deadline : 03.Oct.2024
(08) Fully Funded PhD Position
PhD position summary/title:– Doctoral students in Optimization and Control of Complex Systems
We are in the midst of an unprecedented transformation of the engineering infrastructures that uphold our technological civilization, such as energy and transportation systems. Driven by technological advances, societal needs, and environmental concerns, these complex systems are expanding in scale, becoming more digital, interconnected, autonomous, and decentralized. While these transformative trends offer limitless opportunities to enhance efficiency and sustainability of engineering infrastructure systems, they also introduce significant challenges in ensuring reliability and fairness, thus demanding innovative solutions.
Deadline : 03.Oct.2024
(09) Fully Funded PhD Position
PhD position summary/title:– Phd students in System Security, Formal Verification and Machine Learning
We invite highly motivated students with a strong background in system security, formal verification, and/or machine learning to apply for two PhD positions, funded by Wallenberg AI, Autonomous Systems and Software Program (WASP).
Successful candidates will have the opportunity to investigate cutting-edge research topics, including but not limited to one of the following areas, System Security, Formal Verification, and Machine Learning in Security and Verification.
Deadline : 30.Sep.2024
(10) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in light-controllable fluorescent proteins in microscopy
We are looking for a motivated student interested in biophysics and live-cell imaging to join the Advanced Optical Bio-Imaging Laboratory (http://www.testalab.org) in Stockholm as a PhD student. The student will be part of the Biophysics Unit of the KTH Royal Institute of Technology, located in SciLifeLab in Stockholm, a national hub for life-science excellence in Sweden with cutting-edge laboratories and a vibrant multidisciplinary environment.
The student will investigate the properties of fluorescent probes and how we can use them to develop advanced imaging strategies for the study of cellular processes. The project will focus on the development of different spectroscopic and imaging assays to study the kinetics of photo-controllable fluorescent molecules. Experimental work on optical devices, in the wet lab and on image analysis will be integral parts of the project.
Deadline : 30.Sep.2024
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(11) Fully Funded PhD Position
PhD position summary/title:– Doctoral student metallurgy of recycling of steels
A project funded by Horizon Europe “Metallic Elements Dissipation Avoided by Life cycle design for Steel” (MEDALS) aims to increase the recyclability of steels by removing or mitigating the effects of unwanted elements that accumulate during recycling, so-called tramp elements. The successful candidate shall be expected to perform advanced simulation and modelling to optimise the handling of scrap to improve the quality of recycled material. This may include thermodynamic modelling of pyrometallurgical systems, physical modelling of process phenomena and numerical modelling of accumulated sensor data. The research work at KTH shall also include laboratory experiments, at high temperatures and using advanced materials characterisation techniques. It is anticipated that machine learning and artificial intelligence shall feature in the project, which is a collaboration between universities, companies and research institutes across the European Union.
Deadline : 30.Sep.2024
(12) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in advanced membrane characterization for redox flow battery
This project aims to gain fundamental insights into the membranes in redox flow batteries (RFBs) through combining electrochemical cell investigations at KTH with advanced characterization techniques using X-rays and neutrons in combination with molecular dynamics simulations at DTU. In terms of costs and output power, the membrane is a critical component that should meet the requirements of high ion conductivity, low permeability of redox species, and high chemical and mechanical stability. To advance the development of membranes more research is needed to understand the relationship between structural properties and performance. RFBs are safe and cost-effective for stationary and long-duration energy storage (> 6h), as the energy and power can be scaled independently. The project is performed within the Nordic 5 Tech Research School in Batteries. The PhD student will spend periods, together at least a year at DTU in Copenhagen and attend Nordic 5 Tech activities and courses. We are searching for a person with interest in electrochemistry, batteries and material characterization.
Deadline : 30.Sep.2024
(13) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in Molecular simulation of wetting
The energetics and dynamics of wetting are of high interest from both fundamental scientific and technological points of view. Often the macroscopic behavior of wetting is dominated by processes at molecular scale at the interface. Here in particular the three-phase contact line is of importance, where substrate, liquid and gas (or another liquid) meet. The scales involved can not be observed directly in experiments. Atomistic molecular dynamics simulations can provide the required spatial and time resolutions. In this project we will study how mixtures of two liquids or a liquid plus surfactant wet surfaces. The surfaces can be either simple or have molecules attached to them that interact with the liquid in different ways. In experiments non-trivial behavior has been observed. There can be several reasons for this, e.g. preferential wetting of the substrate by one of the liquids (energetics), but also differences in dynamic behavior of liquids at the contact line. Molecular dynamics simulations enable us to disentangle such effects and will allow to rationalize behavior observed in experiments. As a further step, we might be able to capture certain types of behavior as boundary conditions or extensions of continuum models, which are being developed together with collaborators at the department of Mechanics.
This position as a PhD student is within a collaborative environment that is shared with the department of Mechanics, where there is development of continuum methods as well as experiments. The environment is multi-disciplinary, international and includes the main developers of the popular GROMACS molecular simulation package, which will be used in this project.
Deadline : 30.Sep.2024
(14) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in quantum sources
Quantum technology offers unprecedented possibilities for computation, communication and sensing, holding great promise for drastic improvements in performance and functionality, showing disruptive potential with profound impact on society, markets and everyday life. Quantum optics lies at the heart of these new developments as photons are ideal carriers of quantum information due to high-speed and low-noise propagation. Within this project, we aim at the development of quantum devices for the generation, light with high efficiency. The devices will be implemented in real-world applications to demonstrate and assess the advantages of quantum devices. You will develop quantum devices using thin film deposition techniques, electron beam lithography as well as etching and metalization tools. The devices will be characterized and operated in customized optical setups based on cryostats using quantum optics techniques.
This PhD student position will be a part of a Quantera project, Figanti in collaboration with Tampere Universitet, Wurzburg Universitet, Wroclaw Universitet and CEA i Grenoble.
Deadline : 30.Sep.2024
(15) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in digital transformation in the built environment
The project investigates organisational and business aspects of digital transformation for a more sustainable built environment. An important aspect is how property owners, both as construction clients and facility managers, drive and participate in innovation related to digitalisation in collaboration with other actors. The project is carried out within the framework of the competence centre Dig-IT lab in collaboration with both academic and industrial partners.
The division you become part of conducts research and teaching in procurement, innovation, and project management within construction and facility management. You will also have the opportunity to join national and international research networks in relevant fields.
Supervision: Associate Professor Malena Havenvid and Professor Tina Karrbom Gustavsson is proposed to supervise the doctoral student. Decisions are made on admission.
Deadline :27.Sep.2024
(16) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in prospective LCA of circular solutions for composites
FibReLoop is a Marie Sklodowska-Curie (MSCA) Doctoral Network aiming to promote industrial implementation of circular strategies for composites, in applications such as wind turbines or vechicles. Circular solutions are not inherently sustainable, but such claims need to be supported by systematic assessment, such as Life Cycle Assessment (LCA). In early stages of technological development, LCA faces challenges due to lack of industrial-scale data, which is addressed in the emerging field prospective LCA (pLCA). FibreLoop is now recruiting 14 PhD candidates across the EU. In this project, you will develop methodology for pLCA of novel composite recycling processes and recycled materials. The project involves pLCA method development, data collection, potentially tools development in Python, and qualitative methods to investigate socio-technical dimensions of influential market factors.
Deadline : 26.Sep.2024
(17) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in process modelling, recycled composites manufacturing
The FibReLoop project is a Marie Sklodowska-Curie (MSCA) Doctoral Network that aims to promote the industrial implementation of circular economy strategies for composites. On total, fourteen doctoral candidates will be trained at different European sites to tackle the recycling of a composite part all the way to the design and production of new recycled components. This KTH project focuses on developing modelling tools predicting the processing of composite components out of recycled fibre material systems. The material systems are expected to be characterised by high-volume fractions of shopped fibres that are not fully oriented. Developing constitutive material models describing different aspects of the manufacturing process is essential. However, to consider the inherent variability of the recycled material, the project aims to include the feasibility of data-driven methods augmented with high-fidelity physics-based models.
Deadline : 26.Sep.2024
(18) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in Fluid and Climate Theory
This Ph.D. position is integral to the HumanIC European training network. The initiative aims to cultivate early-stage engineers and scientists, adopting a novel, human-centric approach to indoor climate in Healthcare Environments. This position focuses on sustainable methods for designing and managing indoor environments characterized by a favorable thermal climate and minimized airborne particle spread. The approach combines laboratory measurements with numerical simulations, specifically Computational Fluid Dynamics (CFD) and advanced Visualization techniques, including Virtual and Extended Reality (VR and XR), to render the invisible aspects of indoor air quality perceptible and heighten awareness of its health impacts on occupants. The emphasis is on designing and optimizing building ventilation to enhance indoor air quality and thermal comfort, mitigate respiratory disease transmission, and ensure a healthy indoor climate for occupants.
Deadline : 19.Sep.2024
(19) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in Electrical Engineering
WELD-AID is a Vinnova-funded project that aims to revolutionize quality assurance in welded structures by integrating Artificial Intelligence (AI) and digitalization. Through collaboration with industry partners, it seeks to reinforce Sweden as a global leader in designing and manufacturing welded products, ensuring superior mechanical performance and production quality. The project will explore using advanced machine learning (ML) methods, including deep neural networks (DNNs), to detect weld imperfections and optimize the welding process. Within the grander research project, the advertised doctoral student position will develop hybrid models involving convolutional neural networks (CNNs) for weld localization and use physics-informed neural networks (PINN) for weld quality assessment, including service life predictions for welded structures.
Deadline : 19.Sep.2024
(20) Fully Funded PhD Position
PhD position summary/title:– PhD Student in Generative Modelling of Conversational Dynamics
This project aims to create generative models of spoken conversation that enable speaking machines to adapt their conversation style over time, in the same natural manner that we humans do. To make this a reality, you will perform self-supervised learning of aspects such as speech patterns, rhythm, and intonation from human dialogues, and use the results to build better, adaptive text-to-speech systems. This represents a new way to integrate text-to-speech technology, dialogue systems, and generative machine learning. By being speaker-agnostic, the approach seeks to do this without propagating existing biases, to create engaging and inclusive human-computer interactions.
Deadline : 16.Sep.2024
(21) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in sodium-ion batteries – hard carbon and its interphases
Sodium-ion batteries are potentially a low-price and more environmentally friendly alternative to lithium-ion batteries simply because sodium is more abundant than lithium. In sodium-ion batteries, the negative electrode material is typically hard carbon which, unlike graphite used in lithium-ion batteries, is a more disordered and unexplored material. Mixing silicon into the electrode can likely increase the capacity, but more knowledge is needed about how the materials work together in the electrode, and how sodium ions are taken up, stored, and released, as well as how the interaction with the electrolyte and other components in the electrode affects these processes. In the project, we want to use a flora of spectroscopic, microscopic and electrochemical techniques such as MS, FTIR, XPS, NMR, GITT and EIS, preferably in combination in situ or in operando. The project is a collaboration between KTH Stockholm and NTNU in Trondheim and is part of a battery research school between the five largest technical universities in the Nordics, Nordic 5 Tech. The collaboration means that the doctoral student will be supervised and spend periods at both universities and will attend Nordic 5 Tech activities and courses.
Deadline :15.Sep.2024
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.
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