24 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 molecular network biotechnology development

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. We will develop an imaging technique based on information gathered by interactions of DNA molecules and transmitted using high throughput sequencing instead of classical optics. The project will be conducted in the Gene Technology department at SciLifeLab, a vibrant and creative community with a collaborative atmosphere.

Last Application Date: 31.May.2022

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2. Doctoral student in high-performance machine-learning

Summary of Doctoral Project:

This research project aims at developing the principles behind the next generation of computing systems optimized for modern data-intensive workloads. We believe that these systems will make a disruptive departure from the classic Von Neumann architecture, with its decoupling of memory and computing, and embrace the principle of processing-near-memory. In this way, it is possible to shortcut the main limitations of current hardware systems. Your role will be to explore how ML algorithms and computer architectures can be enhanced and radically re-designed for unprecedented efficiency and scalability. The doctoral position is part of a multi-disciplinary research center on “Data-bound computing”, run by researchers with internationally leading expertise in algorithm development, distributed systems and computer architecture. This particular position is hosted by Professor Mikael Johansson’s research group at KTH, and you will collaborate with researchers and doctoral students at both KTH and Chalmers University.

Last Application Date: 31.May.2022

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3. Doctoral student in microbial genomics

Summary of Doctoral Project:

Microorganisms drive the flow of energy and nutrients in the ocean and form the basis of the marine nutrient web. Due to climate change, e.g. temperature and salinity to change in many bodies of water, not least in the brackish water system Baltic Sea, but relatively little is known about how bacterial plankton can adapt to changes in, for example, salinity. In this project, we will analyze thousands of bacterial plankton genomes from lakes, seas and brackish water systems from different geographical areas using phylogenetic and population genomic methods. The project will shed light on how brackish water microorganisms have evolved from their freshwater and marine ancestors, how they differ within and spread between ecosystems and how the microbiome of the Baltic Sea has evolved over time.

Last Application Date: 2022-05-23

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4. Doctoral student in molecular network algorithms

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: 31.May.2022

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5. Doctoral student in robust future electricity networks

Summary of Doctoral Project:

Future electric power systems are expected to have a high impact on renewable energy, energy storage, producers and consumers with electric cars, smart homes and household appliances. As the complexity and sectoral coupling of the energy system increases, the frequency of unexpected events will increase at the same time as the momentum in the system is decreasing. In addition, increased digitization leads to the energy system being highly exposed to cyber attacks. The security and resistance of the energy infrastructure is crucial for a well-functioning society. The goal of the REDISET project is to identify vulnerabilities and develop risk-reducing criteria for system design and resistance to various critical events in a strongly integrated and sector-linked energy system. The project examines safety and resilience from a socio-technical system perspective to understand how the rapid technological developments of the future can best be utilized.

Last Application Date: 2022-05-31

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6. Doctoral student in robust digitized future electricity networks

Summary of Doctoral Project:

Future electric power systems are expected to have a high impact on renewable energy, energy storage, producers and consumers with electric cars, smart homes and household appliances. As the complexity and sectoral coupling of the energy system increases, the frequency of unexpected events will increase at the same time as the momentum in the system is decreasing. In addition, increased digitization leads to the energy system being highly exposed to cyber attacks. The security and resistance of the energy infrastructure is crucial for a well-functioning society. The goal of the REDISET project is to identify vulnerabilities and develop risk-reducing criteria for system design and resistance to various critical events in a strongly integrated and sector-linked energy system. The project examines safety and resilience from a socio-technical system perspective to understand how the rapid technological developments of the future can best be utilized.

Last Application Date: 2022-05-31

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7. 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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8. 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: 27.May.2022

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9. Doctoral students in Scalable and Distributed Reinforcement Learning

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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10. Doctoral student in Micromachined Microwave/ THz Communication Systems

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: 23.May.2022

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11. Doctoral student in supramolecular chemistry

Summary of Doctoral Project:

The supramolecular chemistry group at KTH studies the use of artificial molecular machines for applications in biomedicine and for creation of stimuli-responsive biomaterials. This project concerns development of new water-soluble molecular machines that can be interfaced with different kinds of biomacromolecules to create novel biosensors and drug delivery systems. The position is connected by a project financed by the Swedish research council (2021-03892), which involves synthesis of novel molecular machines and integration of these with biological systems. The position includes experimental design, data analysis and organization, as well as reporting of results in a scholarly way. The student will also receive additional training in data management, data visualization, technical writing and leadership. Furthermore, the student is expected to assist with handling of practical group routines, assist with teaching and provide some technical assistance to the Division of Organic Chemistry in activities related to research.

Last Application Date: 02.Jun.2022

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12. Doctoral students in Networked Systems for Machine Learning

Summary of Doctoral Project:

The advertised doctoral student positions are within an ambitious, 5-year European Research Council (ERC) Consolidator Project titled “ULTRA”. In this 2 Million EUR project, we want to dramatically change the way Internet Services are constructed. In detail: Your work will entail design, implementation, and evaluation of distributed systems and networks for building ultra-low latency Internet services. Special emphasis will be paid to low latency, resilient frameworks for machine learning (including distributed and federated learning). Examples of other services to be built include advanced highly streamlined server software, Network Functions Virtualization (NFV) chains at the true speed of the underlying hardware, intra datacenter loadbalancing, agile and efficient geo-distributed data storage systems that.

Last Application Date: 13.Jun.2022

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13. Doctoral student Deep Learning for sequential and graph data

Summary of Doctoral Project:

The PhD thesis will focus on state of the art Graph Neural Network Methods and search for advancements in the areas of explainability, interpretability and other fundamental aspects. It will also deal with application of the above methods to real world problems in NLP, sequences, time series, images and social network data. The prior work of the supervisor will support further achievements in this field.

Last Application Date: 09.Jun.2022

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14. Doctoral student in integrated formal methods

Summary of Doctoral Project:

The doctoral study aims at integrating formal specification methods, simulation, constraint solving and learning in a holistic multi-view modelling framework for developing sustainable and trustworthy future CPS. The framework should support the development of correct and efficient self-managing systems running over 6G networks and span development phase and run-time via continual learning. Our goal is to develop a modular network-aware formal specification language that will allow us to express, learn and verify functional and resource-related characteristics of future CPS. The doctoral student should be able to work on both – the theoretical foundations of the framework and its application. The candidate should have a strong background in computer science including formal methods, mathematics and have good programming skills.

Last Application Date: 09.Jun.2022

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15. Ph.D. Student in Security and Privacy of IoT applications

Summary of Doctoral Project:

The doctoral student will contribute to the project WASP NEST CyberSecIT, a framework project conducted jointly with Chalmers University of Technology and Umeå University to explore the security and privacy of IoT applications, with the emphasis on software and automation. NESTs are flagship projects of the Wallenberg AI, Autonomous Systems and Software Program (WASP). CyberSecIT’s ambition is to develop a practical, secure and privacy-enhancing solution for IoT applications. The doctoral student will conduct research in developing a novel decentralized platform for automated validation and secure deployment of IoT applications based on technologies such as fine-grained access control, code analysis, multi-party computation, and confidential computing. The doctoral student will also have the opportunity to apply the research results by building a demonstrator that showcases their potential in real-life contexts, in collaboration with Ericsson, ICA Gruppen, and the City of Stockholm.

Last Application Date: 13.Jun.2022

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16. Doctoral student in numerical studies of mass flux at interfaces

Summary of Doctoral Project:

The aim of this project is to forge new fundamental understanding on the role of flow transport and chemical reactions on heat- and mass-transfer across interfaces. The objectives are i) Develop a numerical tool for interface resolved simulations of heat- and mass-transfer at a gas-liquid interface, with chemical reactions on the liquid side. ii) Quantify the role of turbulence in both phases on the interfacial fluxes by means of large-scale simulations. Identify the main mechanisms determining the fluxes. The simulations will be validated against experiments performed by our international collaborators. The work will be performed within the multidisciplinary research environment Interface.

Last Application Date: 02.Jun.2022

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17. Doctoral students in micro- and nanotechnology

Summary of Doctoral Project:

Photonic integrated circuit (PIC) technology is rapidly evolving, and two dimensional (2D) materials are emerging for novel optical and mechanical devices on the micro-and nanoscale. Silicon PICs bring increased performance and scalability, however, the modest integration level achieved to date is far from its full potential. A major bottleneck for scaling up is the power consumption of active components. By leveraging mechanics at the nanoscale we aim to reduce power consumption and improve existing components and introduce novel functionalities in PICs. The experimental work will be conducted in the KTH micro and nano fabrication cleanrooms in Stockholm (Kista and Alba Nova), as well as in the characterization labs at KTH main campus. The project engages several fellow PhD students at the Divisions of Micro and Nanosystems and is conducted in cooperation with high-profile industrial partners and other research groups from inside and outside of KTH. Funding is provided by the European Union’s Horizon Europe program and the Swedish Foundation for Strategic Research (SSF).

Last Application Date: 09.Jun.2022

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18. Doctoral student in compressible fluid mechanics

Summary of Doctoral Project:

The project aims at developing robust, reliable and effective techniques for generation of extreme conditions. Having developed an experimental facility based on electrical wire explosion huge pressures 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 mechanics. 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.

Last Application Date: 15.Jun.2022

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19. Doctoral student in large-scale distributed machine learning

Summary of Doctoral Project:

With the development of computing and communication technologies, and emerging data-driven applications, e.g., IoT based intelligent systems, social network analysis and vehicular networks, the volume of data for various learning systems increases explosively along with the number of involving computing nodes. Thus, large-scale distributed machine learning (e.g., federated learning, and alternating direction method of multipliers (ADMM)) has been pervasive in our societies and industries. However, the practical performance of DML is often limited by various bottlenecks and is still far from theoretical upper limits. Thus, this project will develop efficient algorithms and schemes to achieve reliable, secure and low-complexity large-scale DML. One key approach is to exploit network and channel coding schemes. Theoretical analysis will be performed using learning and communication tools (e.g., graph model, coding and information theory, optimization). The result will also be verified by simulations with true data.

Last Application Date: 23.Jun.2022

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20. Doctoral student (licentiate) in IoT and AI for monitoring of bridges

Summary of Doctoral Project:

Most civil engineering structures are afflicted with time dependent degradation due to environmental conditions and repetitive loading. Predictions of their real physical condition are difficult and associated with considerable uncertainties. In-service monitoring by wireless IoT sensors can help reducing uncertainties and provide reliable support for decisions on maintenance actions. The PhD project will focus on degradation modelling of bridge structures and the prediction of their service life. This typically involve complex modelling of material properties and behaviour. The research will be aimed at establishing data driven models that can be updated with information from, e.g., inspections, testing, and expert knowledge. The project will combine physics knowledge of structures with machine learning knowledge, aiming at exploiting recent breakthrough in machine learning (ML).

Last Application Date: 30.Jun.2022

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21. Doctoral student in robotics

Summary of Doctoral Project:

We look for a PhD student to work on multi-agent planning with applications to underwater and space robotics. These two environments share the common feature of unconventional gravity conditions with respect to traditional ground and aerial robots. Underwater environments induce buoyance, while space induces zero gravity. We call this common feature weightlessness. The project will focus on two main topics: First, defining new notions of safety and robustness specific to weightless environments, using semantically rich specifications, such as parametrized temporal logics. Second, designing safe and robust planning algorithms enables new ways to explore and understand these environments.

Last Application Date: 15.Jun.2022

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22. Doctoral student in Biomechanical imaging and modelling in obstetrics

Summary of Doctoral Project:

We are looking for a motivated person with a great interest in medical technology development and research to work in an interdisciplinary research environment at KTH and KI, with close links to Karolinska University Hospital. The doctoral position is advertised as part of the joint KI-KTH doctoral program in Medical Technology. This means that the doctoral student will be admitted to the third-cycle education at both universities and will then have the opportunity to apply for a joint doctoral degree. The home university and the main workplace of the doctoral student will be KTH – Department of Biomedical Engineering and Health Systems. We are conducting research in the field of biomechanical imaging and modelling to improve diagnostic and treatment procedures and prevent various types of injuries and diseases. This project aims to develop new imaging and modelling tools to improve safety for both the fetus and the mother during vacuum-assisted births. Evidence suggests that the woman is at higher risk for pelvic floor muscle injury when a vacuum cup is used.

Last Application Date: 02.Jun.2022

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23. Doctoral student (licentiate) in Planning Support for nature-based solutions

Summary of Doctoral Project:

The project “(re) Planning of nature-based solutions for sustainable urban conversion” aims to understand and facilitate the interaction between actors, processes and tools within different planning levels, to strengthen Sweden’s physical planning in terms of integrating nature-based solutions, with the goal of preserving and strengthen biodiversity and ecosystem services in urban regions, which is important for human well-being. The project is funded by FORMAS and the research group is interdisciplinary with the application of both qualitative and quantitative methods, including model support.

Last Application Date: 2022-06-02

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24. Ph.D. Student in information theory for cyber physical systems and 6G

Summary of Doctoral Project:

The interdisciplinary research project SUCCESS will develop software-defined solutions for the digitalization of society, with focus on creating tight integration of 6G wireless connectivity and society-wide 6G applications. The project has received funding from the Swedish Foundation for Strategic Research and is spearheaded by five distinguished KTH professors: Emil Bjornson, Karl H. Johansson, Mikael Skoglund, Elena Troubitsyna, and Elena Fersman. This is the first project that approaches 6G challenges by combining world-leading expertise on wireless communications, information theory, autonomous systems, computer science, and machine learning. We are now looking for ambitious doctoral students who want to work at KTH with different aspects of the project. The broad research topic is theoretical understanding of the fundamental challenges and opportunities of future systems. The applicant should have an interest for theoretical research with a background in electrical engineering, engineering physics or applied mathematics.

Last Application Date: 09.Jun.2022

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