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: 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 : 31.Aug.2024
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in robotics for fire risk assessment in rural environments
The division of Mechatronics, KTH, announces a PhD position in robotics for fire risk estimation in rural environments. The department consists of around forty employees organized in several research groups working on topics connected to robotics, such as design, reliability and autonomy. We frequently work with research-related companies, and several examples of companies that have spun off from our research exists today.
One of our research groups works closely with the forest industry with a focus on robotics, sensor systems and artificial intelligence. In the spring of 2024, we will start a project funded by MSB with a focus on how autonomous and remote-controlled forest machines can improve the coarse-grained estimation of the risk of ignition of forest and grass fires that exist today. Those interested in applying should have an interdisciplinary background in robotics or mechatronics, and a keen interest in immersing themselves in a critical societal area.
Deadline : 30.Jun.2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in radar systems
The project focuses on beam-forming techniques for modern antenna-array based radar systems. Different techniques, including machine-learning, will be investigated for advanced digital, analog and hybrid beam-forming concepts, and applied to generating arbitrary beam-shapes in multi-static and passive radar systems. The work is primarily to be done by using simulation and computation software. If a hardware platform will be available before the end of the project, an implementation of the techniques on that platform will be carried out. The project requires a background in electrical engineering, radar systems, electromagnetic simulations, basic signal processing techniques, and preferably also machine learning.
The work is carried out in the THz lab of the Micro and Nano Systems division at the Dept of Intelligent Systems at KTH School of Electrical Engineering and Computer Science. The lab has measurement equipment, incl. a fully automated THz antenna measurement chamber, up to 750 GHz, and many custom-built microwave and THz measurement setups. The project is funded by a European Defence Fund project and carried out in tight collaboration with SAAB AB.
Deadline : 23.May.2024
(04) PhD Degree – Fully Funded
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 : 15.May.2024
(05) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. in wireless sub-THz and THz communications for 6G and beyond
Wireless technology has evolved over five generations, but the need for higher efficiency and reliability is never-ending. The 6G research goal is to identify new groundbreaking methods that can enable tomorrow’s wireless applications. Specifically, the interest toward even higher frequencies beyond millimeter wave remains high for 6G and beyond. This particularly includes sub-terahertz (sub-THz, 100 GHz – 300 GHz) and terahertz (THz, 300 GHz – 3 THz) bands that theoretically enable both extremely high rate connectivity and extremely high-resolution sensing.
In this doctoral project, you will contribute to the theory formation for mobile sub-THz and THz wireless communication systems for 6G and beyond and establish yourself at the international forefront. Some possible research sub-areas are related to physically large antenna arrays, near-field THz communications, intelligent reflecting surfaces, joint terahertz communication and wireless sensing, and terahertz communications for satellite networks, but there are opportunities to adapt the research to your personal interests. The research will focus on the physical layer and media access control layer. Methods from probability theory, communication theory, electromagnetics, optimization and machine learning will play an important role.
Deadline : 13.May.2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in data driven predictive control for smart buildings
New technologies for signal processing and control have great potential to increase efficiency of smart buildings. It could be to save energy, increase living comfort, reduce maintenance, or improve management. In this project we will in particular study and develop modern data driven predictive control algorithms. These methods rely on a mix of linear systems theory, optimization, and machine learning. They have proven to be efficient for complex systems with time varying dynamics.
This Ph.D. project will be carried out within the framework of the Dig-It Lab competence center in tight collaboration with industrial partners and as part of a multidisciplinary team of researchers.
Deadline : 08.May.2024
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate) in multimodal data-driven urban mobility management
The population in the Stockholm region is estimated to be 3.4 million in 2050, a growth of 50% to today’s 2.4 million. The rapid population growth will result in higher traffic congestion and crowding in public transport. Large travel demand is already responsible for noise, pollution, crowding, and stress for travelers and people living in urban areas. Traditional traffic and mobility management already play an important part; however, it often has a reactive character. It needs to be transitioned more to pro-active data-driven multimodal traffic management to unveil its full potential and benefits for society and better management of existing resources.
In this project, you will have the opportunity to explore multimodal mobility patterns in the Stockholm region using various data sources such as GPS, highway microwave sensors, toll portals, e-scooters, mobile phones, and public transport smart card data. You will use data-driven analytics, choice modeling, machine learning (ML), artificial intelligence (AI), and simulation to unveil the understanding of typical multimodal travel patterns and their relationships during various events, traffic incidents, and public transport disruptions. All this will lead to a multimodal predictive framework essential for pro-active scenario-based multimodal traffic management.
Deadline : 06.May.2024
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in secure networked learning and control systems
The Division of Decision and Control Systems and the Division of Network and Systems Engineering are looking for one doctoral student with a very strong background and interest in control systems, mathematics, Bayesian inference, and modeling. The successful candidate 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 : 02.May.2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Transport Science
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.
The Department of Urban Planning and Environment at KTH is looking for an excellent candidate for a doctoral student position in the area of Transport Science. We are working on quantitative methods in urban modelling and decision support, including development of new methods for data acquisition, AI, and Machine Learning, which is creating new opportunities in planning and urban and regional studies by the intersection of urban data science, technology, and design.
Deadline : 02.May.2024
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate) in DMDU for Transport Planning
Transportation is facing a period of significant changes and uncertainties driven by a variety of factors (technologies, mobility norms, climate changes, energy crises). The conventional approach to transportation planning relies on a ‘most likely’ forecast with limited sensitivity analysis. It has inherent limitations when it comes to addressing significant uncertainties associated with evolving developments.
The Decision Making Under Deep Uncertainties (DMDU) project aims to shift the paradigm from a traditional ‘predict-then-act’ model, which optimizes based on a single ‘best-guess’ future (forecast), to a model that stress-tests plans to minimize regrets across a spectrum of potential scenarios (foresight). It will develop the DMDU tool with AI/machine learning data analytics that supports the development of a socio-economically efficient transport system, particularly in a long-distance planning context in Sweden.
Deadline : 02.May.2024
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(11) 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 Day-Ahead Electricity Market (DAM) 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 DAM 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 DAM model and smoothing the transition to the 100% renewable future.
Deadline : 02.May.2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Student in Software Supply Chain Security
The doctoral student will contribute to the project WASP NEST ShiftLeft, a framework project conducted jointly with Chalmers University of Technology, Lund University, and Umeå University to explore code-centric solutions to secure the software supply chain. NESTs are flagship projects of the Wallenberg AI, Autonomous Systems and Software Program (WASP).
ShiftLeft seeks to transform the security of software supply chain by introducing a declarative code-centric platform supporting continuous security analysis. It incorporates foundational frameworks, novel abstractions combining static and dynamic techniques, and human-in-the-loop feedback with AI-driven prioritization metrics. The doctoral student will conduct research in developing foundational models and scalable code-centric analysis for a range of vulnerability classes, including code injection, sensitive information disclosure, insecure deserialization and more. They will explore a range of technologies including taint analysis, code property graphs, program slicing, and runtime monitoring. The doctoral student will also have the opportunity to apply the research results by building demonstrators that showcase their potential in real-life contexts, in collaboration with Cparta Cyber Defense, Debricked, Ericsson, Recorded Futures, and SEB.
Deadline : 30.Apr.2024
(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Competence center NEXT
Within the Competence Center NEXT, we seek three doctoral students who are interested in enabling innovative characterization methodologies at large-scale synchrotron and neutron facilities within the field of physical and mechanical metallurgy. Supplementary experimental work and computational modelling will take place in the home laboratory.
The NEXT Competence Center has 24 partners from academia, research institutes, companies and infrastructures to jointly work within research on innovative materials engineering solutions for current industrial sustainability challenges, for instance, research related to electrification of the transport sector, sustainable manufacturing via additive manufacturing (3D printing) and development of experimental methodology and analysis for effective evaluation of advanced high-throughput experiments.
Deadline : 30.Apr.2024
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Space Physics for studies of Jupiter moon Io
Jupiter moon Io is the most volcanically active world in the Solar System. It is the main source of material for Jupiter’s vast magnetosphere, but the processes for the material transport from Io to the environment are not fully understood and the putative variability of Io’s mass loss is puzzling.
In the project, the student will analyze observations of Io’s atmosphere and surface taken by the Hubble Space Telescope and the James Webb Space Telescope. In addition, we will study the plasma environment through measurements near Io by the NASA Juno spacecraft. In combination with modelling, the project will address the questions of the mass loss from Io and its atmosphere to Jupiter’s magnetosphere.
Deadline : 29.Apr.2024
(15) PhD Degree – Fully Funded
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 will study how mixtures of two liquids or a liquid plus surfactant wet surfaces. The surfaces can be simple or have molecules attached to them that react to the liquid. 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 : 29.Apr.2024
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Digital Twin for smart grid connected buildings
The increasing dynamic electric demand of buildings, coupled with intermittent renewable sources, poses challenges for the power grid in maintaining balance between supply and demand. Smart sensing, metering, and integration of appliances, electric vehicles, and energy storage facilitate effective demand-side management in residential buildings, aiding grid stability by optimizing flexible loads, yet ensuring occupant comfort remains paramount.
Digital Twins are a promising tool to improve the building energy performance and management, increase grid flexibility, maximize buildings’ storage capacity and renewable energy exploitation, but their full potential remains largely underexploited. In this PhD project, the selected candidate will develop a scalable and holistic Digital Twin that will be demonstrated on KTH Live-In Lab building testbeds. This Ph.D. project will be carried out within the framework of the Dig-It Lab competence center in tight collaboration with industrial partners and as part of a multidisciplinary team of researchers.
Deadline :25.Apr.2024
(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in fuel cells
The project will contribute to new and more efficient fuel cells and fuel cell systems for the transport sector. Vehicles powered by fuel cells convert hydrogen completely emission-free except for the water produced. With more efficient fuel cells, emission-free operation is enabled even for vehicles and areas of use where battery operation is not a suitable technical solution, e.g., for heavy-duty vehicles.
In the project, proton exchange membrane fuel cells (PEMFC) with an operating temperature of up to 120 °C will be studied. This, for the fuel cell, higher than normal temperature has clear advantages, such as the possibility of more efficient cooling, higher catalyst activity and less sensitivity to impurities in the constituent gases. However, development of new cell components and the system is required, and the rate of aging and degradation mechanisms also increases with higher temperature. The project is a national collaboration between research groups at four different universities (KTH, Lund University, Chalmers, and Linköping University), as well as several other parties (Scania, AB Volvo, Alleima, Cell Impact, PowerCell, Intertek, Hydrogen Sweden).
The PhD student will be employed at the division of applied electrochemistry at KTH, with about 30 PhD students and seniors doing research on batteries, fuel cells and electrolytic processes in an international and creative environment. The work will be mainly experimental and includes electrochemical characterization of small fuel cells to study function and lifetime under different conditions. Read more about the department here.
Deadline : 25.Apr.2024
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Digitalisation and RE business models
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.
In this project, the focus is on how applications of innovative digital solutions (e.g., digital twins) in Real Estate generate value from both a corporate and societal perspective. It examines how traditional business models support or limit opportunities to use the potential of digitalization to achieve sustainable buildings and sustainable cities. This Ph.D. project will be carried out within the framework of the Dig-IT Lab competence center in collaboration with industrial partners.
Deadline : 25.Apr.2024
(19) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Human-Centric Indoor Climate using CFD and VR
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 : 25.Apr.2024
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD student in electrochemical synthesis of well-defined copper catalysts
Copper and copper-based materials are promising catalysts for the electrochemical reduction of carbon dioxide (CO2) toward multicarbon products. However, the performance and product selectivity of the CO2 reduction varies with the catalyst surface structure and the geometry of the surface-active sites. In this project, you will electrochemically synthesize well-defined copper nanostructured surfaces and tune the active sites´ geometry to tune the selectivity of the CO2 reduction towards different carbon products. You will investigate the effect of different halides and electrolyte anions on the electrochemical surface nanostructuring of copper. The prepared catalysts will be characterized using electron and scanning probe microscopy and x-ray spectroscopy techniques in combination with cyclic voltammetry. For further details on the methods that we use to electrochemically modify copper, read more here. We are looking for a PhD candidate highly motivated and with a background in electrochemistry.
This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, wise-materials.org). WISE, funded by the Knut and Alice Wallenberg Foundation, is the largest-ever investment in materials science in Sweden and will encompass major efforts at Sweden’s foremost universities over the course of 10 years. The vision is a sustainable future through materials science. All early-stage researchers recruited into the WISE program will be a part of the WISE Graduate School, an ambitious nationwide program of seminars, courses, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry.
Deadline : 25.Apr.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.
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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