20 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 Cellular Biophysics

Summary of Doctoral Project:

We have now an open position for a doctoral student and search for a candidate with a strong interest for applied biophysics and biophysical measurement technology. Our research projects concern development of new technology and new methods for applications primarily in cellbiology. We have choosen to study the energy supply in cells as an application for our new technologies. In the doctoral project, mitochondria in cultured cells and tissue will be studied. We want to explore some basic questions about the dynamics of mitochondria in relation to the cell’s energy needs, both over time and space. For those studies we need to develop both ultra-sensitive measurement technology and new methods to support studies of fine details and processes in living cells.

Last Application Date: 01.Sep.2022 

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2. Doctoral student in Social Robotics

Summary of Doctoral Project:

This project addresses the challenge of how to enable robots to learn in a scalable and cost-efficient manner by gradually acquiring new knowledge from non-expert, semi-situated teachers. To achieve this, computational methods will be developed for robots to query the semi-situated teachers (e.g. crowd workers) and incorporate the newly acquired knowledge into their existing decision-making to further use in situ. This project is funded by the Swedish Foundation for Strategic Research. 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.

Last Application Date: 15.Aug.2022

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3. Doctoral student in high-speed datacenter networking

Summary of Doctoral Project:

Today’s cloud and edge datacenters struggle to keep the pace of multi-100Gbps network interface card. A CPU transmitting 40Gbps of traffic consumes as much as 70% of its cycles, which cannot be used to run any applications. The recent rise of programmable high-speed hardware devices including P4 switches and SmartNICs have opened the doors to massive potential performance gains by offloading networking stacks from CPUs to hardware. Yet, reaping the benefits of such devices is today a largely unsolved problems. For example, multi-terabit per second network devices drop packets depending on specific time patterns. In this project, we plan to build radically new frameworks for controlling network and their performance in a programmatic manner. This research aims to publish work at the top venues in network systems (i.e., SIGCOMM and NSDI) and collaborate with industrial partners (e.g., Intel, Nvidia, Ericsson, Saab). In this project, you will have great possibilities to make impact in society and industry.

Last Application Date: 01.Aug.2022

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4. “Ph.D. student in AI for link-layer efficient in wireless communications

Summary of Doctoral Project:

The doctoral project is part of a larger project on artificial intelligence (AI) for Wireless Communications, with funding from the Swedish Foundation for Strategic Research (SSF). The project brings together researchers from KTH, Chalmers and Ericsson Research, who will address several aspects of AI in and for wireless communication systems at different system levels. The currently advertised position will focus on the use of AI and machine learning for improved efficiently in the physical and link-layer. The doctoral program in Electrical Engineering provides world-class quality education, including a large list of graduate courses, enabling the development of relevant competencies and skills.

Last Application Date: 15.Aug.2022

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5. Doctoral student in Polymer Technology

Summary of Doctoral Project:

We are looking for a doctoral student interested in developing novel polymer concepts for fabrication of biopolymer-derived covalent adaptable networks (CAN): Ideally the materials will be designed to be melt-processable, mechanically and chemically recyclable and fully degradable in common natural environments through biodegradation and/or sunlight triggered degradation. Recycling volumes of many current plastics are still low. In addition, if left in natural environments they may persists for hundreds of years. The materials created within this project will be designed fully circular through multiple routes to contribute to sustainable society by reducing plastics environmental impacts.

Last Application Date: 12.Aug.2022

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6. Doctoral student (licentiate)in method development for railway capacity analysis

Summary of Doctoral Project:

Research and education in planning of railway systems is conducted at the Division of Transport Planning. The aim is to improve the conditions for the railway and the competitiveness of freight and passenger rail transport to contribute to a sustainable development of the society. We are looking for a doctoral student who is interested in improving and further developing mathematical methods for capacity analysis. Capacity analysis aims to estimate the amount of rail traffic that can be operated on a given infrastructure, and analyse possible improvements of the capacity. Different methods to analyse the capacity exists, but a common method used in Sweden today is timetable compression. This method has some deficiencies, which the previous research project KAIN has addressed. The follow-up project KAIN 2, funded by the Swedish Transport Administration, is ongoing and continues with the method improvement and development that started in KAIN. This doctoral project is a part of KAIN 2 and as a doctoral student you will work with continued method development, e.g. to analyse stations and handle single-track lines, as well as using the method to analyse the capacity utilisation of the Swedish railway network.

Last Application Date: 15.Aug.2022

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7. Doctoral student (licentiate) in integration of high-speed rail and air services

Summary of Doctoral Project:

Research and education in planning of railway systems is conducted at the Division of Transport Planning. The aim is to improve the conditions for the railway and the competitiveness of freight and passenger rail transport to contribute to a sustainable development of the society. We are looking for a doctoral student who is interested in applying quantitative methods to explore the potentials of High-Speed Rail (HSR) and flight services in Sweden for domestic and international travel. In recent years, a growing number of researchers and practitioners have moved away from merely analysing the competition between HSR and air to viewing the HSR-air relation from an integration perspective. An integrated HSR-air service can be defined as one single complete journey with a fast and seamless change between modes of transport. Different solutions for the integration of HSR and air transport could be implemented, ranging from very basic integration to more sophisticated systems that include luggage integration, booking/fare integration, etc.

Last Application Date: 15.Aug.2022

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8. Ph.D. students in robust learning of dynamical nonlinear stochastic models

Summary of Doctoral Project:

System identification, or learning of dynamical models, treats how to construct models of dynamical systems based on sensor information. The area is multidisciplinary, involving mathematical statistics, machine learning, and systems and control theory. The methods are in widespread use in many application domains such as biotechnology, electrical engineering, and mechanical engineering. Disturbances affecting the measurements is a fundamental problem as they can severely deteriorate the accuracy of the model. While there exists algorithms that can minimize the impact in an optimal way, they are computationally very expensive, especially for non-linear dynamical models. The aim in this project is to develop less computationally demanding algorithms, which have only marginally worse accuracy compared to the optimal ones. These algorithms should also be robust, meaning that they should be less sensitive to non-ideal settings and require less a prior information. Statistical analysis of the theoretical properties of the developed algorithms is an important ingredient of the project. The project offers rich possibilities to explore the intersection between control theory, mathematical statistics and machine learning for theoretically inclined PhD students.

Last Application Date: 15.Aug.2022

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9. Ph.D. Student in extended reality visualization of neurosurgical procedures

Summary of Doctoral Project:

The aim of this doctoral project is to develop and test immersive visualizations of procedural knowledge for training neurosurgeons. The first step is to acquire the domain-specific knowledge through motion capture and eye-tracking studies with expert neurosurgeons. Second, the goal is to map the acquired knowledge to interactive visual structures in virtual and augmented reality. Third, the aim is to test these visualizations in their capacity to support resident training through task-centric user tests, producing learning curves of precision and accuracy in surgical procedures. The student will also help with teaching courses in Visualization and Computer Graphics by being the main teaching assistant to Prof. Romero. This will take around 20% of the work time, and the remaining 80% are devoted to research.

Last Application Date: 08.Aug.2022

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10. Doctoral student (lic) in dynamic train-track-bridge interaction

Summary of Doctoral Project:

There is a large national and international interest to increase the capacity on existing railway lines, especially to increase axle loads for freight transports. To allow for increased axle loads on existing railway bridges, comprehensive analyses are required. In many cases the load capacity is limited by theoretical exceedance due to dynamic effects, especially for short span bridges. The reason is that the current regulations for the train-track-bridge interaction is very simplified and potentially over-conservative in many cases. This PhD-project will focus on the dynamic interaction of the coupled train-track-bridge system with application to freight traffic. The work will involve theoretical studies and simulations as well as processing larger quantities of collected data. The aim of the project is to increase the understanding of dynamic effects on bridges caused by freight traffic, especially related to track irregularities.

Last Application Date: 29.Jul.2022

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11. 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: 17.Aug.2022

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12. 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: 15.Aug.2022

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13. 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: 15.Aug.2022

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14. 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.

Last Application Date: 15.Aug.2022

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15. Doctoral student in 6G Wireless Networks for Connected Sky

Summary of Doctoral Project:

1 PhD position is available, which is partly connected with a European Celtic-Next project called “6G for Connected Sky”. 6G for Connected Sky project aims at solutions to enable reliable and robust connectivity for aerial and ground users via flexible and adaptive network architecture adopting multiple technologies such as satellite and direct air to ground communication (DA2GC). In addition, this project focuses on novel wireless network design and management schemes in 3-dimensional (3D) space including different types of flying vehicles with their unique requirements. Another focus is to provide robust, low latency and/or high-capacity communications to ground users in the rural areas without any infrastructure via non terrestrial networks (NTNs).

Last Application Date: 08.Aug.2022

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16. Doctoral student (lic) Bio-based composite materials for sustainable roads

Summary of Doctoral Project:

We are looking for a doctoral student for a licentiate in highway engineering. In the project, we want to investigate the applicability of lignin in asphalt. Our target is to study lignin-modified asphalt mixtures through a synergetic combination of 3D imaging techniques, based upon X-ray and neutron radiation sources, multi-scale chemo-mechanical testing, and computational modelling. The work is carried out in close collaboration with several partners in Europe and requires very good ability to work independently. Tests campaigns in several facilities will be carried out (Lund University in Sweden, ILL in France, PSI in Switzerland).

Last Application Date: 01.Sep.2022

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17. Doctoral student in data-driven geometric methods for robotics

Summary of Doctoral Project:

In this project, we will develop simplicial complex-based robot configuration space models for embodiment-aware robot motion planning and learning from demonstration. We will develop extremely large scale and detailed data-driven simplicial complex-based models of robot arm configuration spaces that represent the complex geometry that they exhibit. Based upon these representations we will develop algorithms for efficient updates, optimal motion planning and probabilistic reasoning for robotic manipulation. The project will be highly interdisciplinary as it lies at the intersection of Computational Geometry, Motion Planning, Bayesian Machine Learning and Optimal Control.

Last Application Date: 08.Aug.2022

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18. Doctoral student in in biocatalysis

Summary of Doctoral Project:

Syrén’s research group (www.syrenlab.com) is recruiting a doctoral student in biocatalysis for the project Food ingredients from CO2 with flexible microbial consortia. The project involves research groups at KTH and Chalmers and is at the forefront of biocatalysis and enzyme design. The main purpose of this project is to develop methods for sustainable biocatalytic production of edible oils, such as palm oil, from CO2 by designed microbial cell factories. The research area for the doctoral student includes enzyme discovery, design and development of enzyme cadres, enzyme technology and synthetic biology to expand nature’s current repertoire with regard to biosynthesis of tailored fats with the desired structure. Tools for enzyme design developed at KTH will be used to expand the catalytic versatility of biocatalysts, which will then be screened with microfluidics and deployed in versatile cell factories in close collaboration with project partners.

Last Application Date: 31.Aug.2022

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19. Doctoral student in robotics and perception

Summary of Doctoral Project:

In this project we study mapping for robotics. The vision is a 3D grid representation maintained in real-time and capable of modeling a dynamic scene, including the moving objects. We will extend our work on UFOMap, which already provides an efficient way to manage data such as, e.g., occupancy and semantics. Some questions to address: How to model the dynamic information and incorporate measurements of this from various sources (optical flow, object trackers, etc)? How to enable predictions of future states? How to model the strong correlation between voxels but which is ignored in the standard grid formulation?

Last Application Date: 15.Aug.2022

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20. Ph.D. student in information theory for Markov decision processes

Summary of Doctoral Project:

The position is announced in the framework of the Wallenberg-WASP initiative (https://wasp-sweden.org/). The PhD student will be affiliated with the WASP graduate school. The general focus is toward theory and foundational understanding of sequential decision making and machine learning based on feedback, including reinforcement learning. The applicant should have an interest and talent for theoretical research with a background in electrical engineering, engineering physics or applied mathematics.

Last Application Date: 12.Aug.2022

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How To Apply For PhD Programs? All You Need To Know

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This Post Has One Comment

  1. Hojjat Soflchian Farhang

    Dear Respoible,                                    .         I am very interested to continue my study at your great University.
    Hence, I will write to you about some of my background. I have  MA document. I graduated from Tehran Azad research and science university. My GPA is 17.65. My field is M.A Executive Management, Strategic oriented. My
    Thesis title is the impact of organizational innovation on performance of manufacturing firms through innovation capabilities in processes and product. I have a BA document of English language Translation from lahijan Azad university. I have 24 backgrounds as work for the FS industrial company. I have treated a lot of technical and professional, factorial terms, for example; MS project, Industrial drawing, computer Office, CAD, EFQM, OEE. Supervising, ISO9000, ISOTS16949, 8D, Defect control GT&D and so on. I was responsible for some part for example; identification and traceability, documentation and data, engineering, chemical operation control. As  a result, I want to study in  the field of innovation management or technology management, entrepreneurship Strategic management, and so on. Please guide me more. To find scholarship and bursary and  fully funded university

                                          

    Your sincerely

    Farhang

    Phone number; ‪00989052486118‬  

    Email; dariushfarhang52@gmail.com

    Student No; 920632546

    Sent from my Huawei phone

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