29 Fully Funded PhD Programs at KTH Royal Institute of Technology, Sweden

Are you holding Master’s degree and looking for PhD positions – Fully Funded PhD Programs in Europe? KTH Royal Institute of Technology, Sweden inviting application for funded PhD Programs or fully funded PhD Scholarship. KTH Royal Institute of Technology is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.

KTH Royal Institute of Technology has huge a campus in Sweden and widely known as for its contribution in top notch education and research. The contribution of KTH Royal Institute of Technology is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.

1. Doctoral student in Micromachined Microwave/THz Communication Systems, Sweden

Summary of Doctoral Project:

The project focuses on new hardware technology for enabling future telecommunication systems approaching terahertz frequencies. Highly miniaturized, MEMS-reconfigurable and high performance communication front-ends are to be demonstrated from 500 GHz to beyond 1 THz, enabled by micromachined waveguide systems integrated in a single silicon chip. Novel communication architectures are to be investigated for this frequency range. The project is a collaboration between KTH and Chalmers and is supported by six industrial partners. The project is funded by the Swedish Foundation for Strategic Reseach (SSF).

Last Application Date: 05.May.2022 

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2. Doctoral student in business models for electrific road transports

Summary of Doctoral Project:

The project revolves around the electrification of road transports and its business implications. It addresses how electrification impacts different actors and enabels new business models and incitentives, and conversely, what changes is required in the business landscape and the transport infrastructurein order to facilitate the desired technology shifts to break through. Using comparative studies of different actors in the transport sector, the intention is to develop a deep understanding on how electrification can be utilized in the best possible way, as well as its effects on existing and future business models. As there is a strong technological development in this area, the doctoral student will work in at the interface between innovation management/business development, systemic innovation, and technological development.

Last Application Date: 19.Apr.2022

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3. Doctoral student in Electroanalytical Wearable Devices

Summary of Doctoral Project:

The project relies on fundamental electrochemistry understanding of membrane-based systems for the determination of biomolecules with the proper implementation in wearable devices. The project will be carried out at the Department of Chemistry. Supervision: Assistant Professor Dr. Maria Cuartero is proposed to supervise the doctoral student. Decisions are made on admission

Last Application Date: 05.May.2022

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4. Doctoral student in space physics: magnetospheric sources of polar aurora

Summary of Doctoral Project:

The main focus of this PhD project is on the question of why and how such multiple polar auroral arcs emerge. The multiple polar auroral arcs will be studied with help the low-orbiting DMSP satellites and ground-based instruments providing 2D-maps of plasma flows and field-aligned currents in the auroral region (DMSP, AMPERE). Furthermore, the focus will be on changes in the magnetospheric topology during such events. For this, data from magnetosphere satellite missions such as Cluster and MMS are used.

Last Application Date: 25.Apr.2022

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5. Doctoral student (licentiate) in Multimodal Autonomous Mobility Systems

Summary of Doctoral Project:

This project develops methodologies for tractable modeling and optimal control of multimodal autonomous mobility systems. The methodology combines data-driven modeling of uncertain systems, stochastic model predictive control, and distributed optimization. Special application emphasis will be paid to integrated public transportation and on-demand services systems from aspects of planning, operations, and management. In addition to your doctoral studies, you will be expected to teach or perform other department duties up to 20% of full-time.

Last Application Date: 29.Apr.2022

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6. Doctoral student in intelligent power systems

Summary of Doctoral Project:

With the high penetration of renewables, power electronics and the tightly coupled cyber and physical networks, future power systems will be more complex with stochastics and vulnerabilities. Recent advancements in artificial intelligence, big data and advanced control/optimization technologies provide possible novel approaches to address above challenges. This project will develop intelligent operation and control schemes for future sustainable power systems. And the solution will be demonstrated in a smart microgrid.

Last Application Date: 10.May.2022

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7. Four PhD-students in Mathematics, Mechanics, Physics, Applied Physics

Summary of Doctoral Project:

The School of Engineering Sciences announces four doctoral positions, within a centrally funded initiative. Admission will take place during the second half of 2022. The positions refer to doctoral studies at the departments of Physics, Applied Physics, Mathematics or Engineering Mechanics at the SCI school within a doctoral program at the school.

Last Application Date: 22.Apr.2022

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8. Doctoral students in mathematics

Summary of Doctoral Project:

Applications are invited within the areas listed below. For further details, please contact the corresponding advisor. Applications in other areas may also be considered; inquiries may be directed to the head of the Ph.D. program. Complex analysis and probability (advisor: Jonatan Lenells)

Last Application Date: 22.Apr.2022

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9. Doctoral student in simulations of wetting of complex fluids droplets

Summary of Doctoral Project:

Viscoelastic fluids flow through porous media is crucial for natural and industrial processes: medical filtration such as face masks (mucus), cleaning of contaminated surfaces, recovery of groundwater, oil and materials in geologically challenging locatilocations, CO2 sequestration for climate change, pharmaceutical technologies and human body tissues. These complex fluids flow in a very different way to Newtonian fluids such as water. Transport in porous media is dramatically affected by flow instabilities in microscale, improving mixing and propagation; yet, instabilities of complex fluids remain a challenge. This proposal will result in completely new understanding of viscoelastic fluids flow through porous media by fluid flow simulations using high-fidelity computation methods recently developed by the group.

Last Application Date: 29.Apr.2022

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10. Doctoral student in machine learning for robotic manipulation

Summary of Doctoral Project:

We are looking for a PhD student to work on the grand challenge of robotic manipulation of deformable/soft objects. The PhD project will aim towards developing hybrid machine learning and computational geometry approaches towards manipulation primitives of such objects in which the underlying configuration spaces are approximated using modern large scale data-driven cell-complex decomposition. The doctoral student will be supervised by Associate Professor Florian Pokorny The position is at the division of Robotics, Perception and Learning (RPL). The position is part of and funded by a new EU Project.

Last Application Date: 16.May.2022

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11. Doctoral students in Design and Development of Intimate Touch with Technology

Summary of Doctoral Project:

Robots will care for, wash, and handle people in hospitals. Car seats will touch a driver’s back, bottom, and thighs as they drive to draw their attention to road conditions. These are some of the ways in which technology is predicted to touch us in the future. The goal of this Ph.D. is to figure out and demonstrate what this touch should feel like. We will answer critical questions such as how should a human consent to be touched by technology, and how might they withdraw consent? The student will participate in the ERC-funded project “Intimate Touch: Developing Interaction Design Knowledge and Materials where Technology Touches the Body”.

Last Application Date: 05.May.2022

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12. Doctoral student in Organic Redox Flow Batteries

Summary of Doctoral Project:

Redox flow batteries are suitable for medium- and large-scale energy storage in combination with renewable energy sources such as solar and wind. RFBs could be made low-cost and green by using organic redox species. The aim of the project is to characterize novel green organic redox species for RFBs. The research is of importance to improve the capacity and performance of RFBs and, more importantly, to drastically reduce the cost of energy storage for stationary applications compared to all-vanadium RFBs or Li-ion batteries. In the project, the Ph.D. candidate will synthesize and characterize (NMR, FT-IR etc) novel organic redox species in collaboration with the Department of Chemistry, KTH. For this reason, the applicant must have a solid background in organic synthesis. The redox species will thereafter be electrochemically characterized in conventional electrochemical cells and an RFB setup at the Department of Applied Electrochemistry, KTH.

Last Application Date: 28.Apr.2022

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13. Doctoral student in microfluidics with focus on fiber optics and diagnostics

Summary of Doctoral Project:

The aim of this project is to develop analysis methods for cancer with multifunctional fiber optics combined with molecular diagnosis based on molecular markers. Supervision: Aman Russom is proposed to supervise the doctoral student. Decisions are made on admission.

Last Application Date: 18.Apr.2022

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14. Doctoral student in lightweight construction

Summary of Doctoral Project:

The research group for lightweight structures is looking for a doctoral student to support research in fatigue of high-strength welded steel structures. In the research project, various methods to improve the fatigue life of welded structures will be studied to enable a faster introduction of high-strength steel. In addition to welded joints, other types of jointing methods will also be studied based on their joint and fatigue strength. The work includes FE modeling, experimental activities in the form of mechanical testing and measurements. It is an advantage if the applicant has experience of fatigue, testing and dimensioning of welded joints. It is also an advantage if the applicant has knowledge of life cycle cost analysis (LCC).

Last Application Date: 2022-05-05

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15. Doctoral student in Innovation/design for sustainable transport systems

Summary of Doctoral Project:

You will participate in a large multi-stakeholder collaboration project developing and testing new concepts striving toward sustainable transport systems analyzing how new concepts and services for city logistics contribute to a sustainable transport system and society. Collaborative innovation and design is one research theme within the project, coordinated at ITRL, Integrated Transport Research Lab. You have a master’s in Integrated Product Design, Industrial Engineering, and Management or Sociotechnical systems or similar, and experience from conducting workshops.

Last Application Date: 29.Apr.2022

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16. Doctoral student in Carbohydrate Food Biochemistry

Summary of Doctoral Project:

The doctoral student will design a new generation of plant-based multifunctional food ingredients through enzymatic coupling of cell wall polysaccharides and free polyphenols from agricultural by-products. These new ingredients will combine the functionality and prebiotic potential of polysaccharide hydrocolloids and the bioactivity of polyphenols. For this, the doctoral student will integrate expertise in biotechnology and nanotechnology to achieve molecular and structural control of the new food ingredients. The project will be carried out in collaboration with the University of Helsinki funded by the Novo Nordisk Foundation. The candidate is expected to participate in all activities of the project, including research, meetings, dissemination of results, and co-supervision of master’s students.

Last Application Date: 06.May.2022

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17. Doctoral student in spectral turbulent-wing sims & deep-learning methods

Summary of Doctoral Project:

The goal of this project is to use computational-fluid-dynamics (CFD) methods for the analysis of turbulent flows around wings and other complex geometries. To this end, high-order spectral methods will be employed to perform both well-resolved large-eddy simulations and direct numerical simulations, in order to assess the influence of pressure-gradient, wall curvature and three-dimensionality in the dynamics of wall-bounded turbulence. We are also interested in using deep-learning methods to further understand the impact of the simulation parameters on the results and to effectively design novel flow-control strategies.

Last Application Date: 13.May.2022

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18. Doctoral student in Robust Machine Learning

Summary of Doctoral Project:

The Division of Information Science and Engineering at the School of Electrical Engineering and Computer Science is currently looking for a doctoral student with a very strong background and interest in machine learning, statistical learning theory, information theory, and related topics. The goal of this project is to develop new principles and methods for training and analyzing machine learning algorithms and models in order to establish a better understanding of their generalization performance and to improve their robustness. Solutions and tools developed in this project will rest on a solid theoretical foundation and their good performance will be demonstrated and validated experimentally for practically relevant use-cases.

Last Application Date: 02.May.2022

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19. Doctoral student in Architecture’s theory and history

Summary of Doctoral Project:

The doctoral student will do research in a research project with support from the Swedish Research Council, “Utopia 2.0: ‘Natural thinking’ in Nordic New towns from the past, today and in the future.” The purpose of Utopi 2.0 is to research the history and future of planning methods for ecological cities through close studies of different cases of utopian models with roots in the Nordic countries. The doctoral student’s project will focus on environmentally friendly, communal ecovillages that have been built from the 1960s to today. The project studies how the ecovillages emphasized the well-being of people and the environment in protective, isolated societies that are also presented in response to social and environmental “failures” and the latent withdrawal of the welfare state. The person conducting that research must have experience in the practice of architecture and ethnographic research methods.

Last Application Date: 2022-04-18

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20. Doctoral students in Scalable and Distributed Reinforcement Learnin

Summary of Doctoral Project:

We are currently looking for up to two doctoral students with a very strong background and interest in mathematics (statistics and probability theory) and machine learning. The successful candidates will work on a recently granted national project on Reinforcement Learning (RL). In the project, we will develop new theories and methods towards the design of faster and more robust RL algorithms. The doctoral program in Electrical Engineering provides world-class quality education, including a large list of graduate courses ensuring an in-depth development of relevant competencies and skills. The position is within the research group of Prof . Alexandre Proutiere, at the Division of Decision and Control Systems.

Last Application Date: 30.May.2022

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21. Doctoral student in applied mathematics, specialisation in deep learning

Summary of Doctoral Project:

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.

Last Application Date: 13.May.2022

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22. Doctoral student in Mathematical Statistics

Summary of Doctoral Project:

The problem to make optimal decisions under uncertainty can in many cases be handleded within the mathematical theory of optimal stochastic control. There exists today a powerful mathematical theory for such standard problems. But there are still many important nonstandard stochastic control situations which are beyong reach for these established techniques. Therefore, there is a need for new solution approaches, and this is the motivation for my project. For example, I want to develop solution methods for the optimal control for nonstandard systems such as stochastic partial differential equations with space dependence and memory, Volterra stochastic partial integral equations, systems with dynamics involving not just the value of the state in the coefficients, but also the history of its probability distribution and modelling neuro network via mea-field stochastic differential euqations.

Last Application Date: 02.May.2022

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23. Doctoral student in Data visualization

Summary of Doctoral Project:

This project will develop algorithms, methods, and tools to visually analyze data. We focus on topology-based algorithms due to their powerful capabilities for extracting features. Our main challenge is to formulate these algorithms such that they are fast and efficient. We integrate these algorithms in a modern visualization tool. Our results will allow new scientific questions to be addressed in many research domains, including climate research, material science, fluid dynamics, and others. The student will also help with teaching courses in Visualization and Computer Graphics by being the main teaching assistant to Prof. Weinkauf. This will take around 20% of the work time, and the remaining 80% are devoted to research.

Last Application Date: 31.May.2022

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24. Doctoral student in Computational Biology and Machine Learning

Summary of Doctoral Project:

This project is concerned with the Machine Learning and probabilistic modeling of spacial multi-omics data, particularly from Parkinson’s disease samples. Methodologically, this project will be focused on methods for computational predictions and inferences, as well as implementation of such methods on modern high performance computers and clusters. We collaborate with groups developing new experimental omics methods, particularly mass spectrometry-based metabolomics, spacial transcriptomics and spacial proteomics, at SciLifeLab as well as with international collaborators. This is a four-year time-limited position that can be extended up to a year with the inclusion of a maximum of 20% departmental duties, usually teaching. In order to be employed, you must apply and be accepted as a doctoral student at KTH. The starting date is open for discussion, though ideally we would like the successful candidate to start as soon as possible.

Last Application Date: 30.Apr.2022

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25. Doctoral student in Architecture with a focus on urban planning

Summary of Doctoral Project:

As a doctoral student in the architecture program, you will participate in the interdisciplinary research project CoNECT – Collective Networks for Everyday Community Resilience and Ecological Transition, led by Meike Schalk. The project is a European collaborative project funded within the framework of JPI ENUTC Capacity for Urban Transformation. The project examines opportunities for citizens to organize at the neighborhood level towards ecological conversion, in six EU countries. The project aims to promote existing and create new collaborations between citizens, thinkers, practitioners, planners and other actors from partner countries through local and joint activities. In the project, we will highlight, map, connect and strengthen everyday social practices by creating frameworks, learning formats for all age groups, and communication strategies towards ecological conversion.

Last Application Date: 2022-04-27

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26. Doctoral student in molecular biophysics

Summary of Doctoral Project:

We seek a doctoral student to develop computational methods to study structure and function of proteins, in particular membrane proteins. The division of biophysics at Science for Life Laboratory is internationally leading in developing techniques both for molecular dynamics simulation of proteins and reconstruction of their structure using cryo-electron microscopy. This project aims to develop new data-drive methods using machine learning to model structure and dynamics of proteins, e.g. to describe motion between states and predict molecular interactions. The research comprises both new simulation methods and techniques to e.g. combine models with low-resolution experimental data from cryo-EM or neutron scattering.

Last Application Date: 30.Apr.2022

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