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: Ph.D. Student in information theory for cyber physical systems and 6G
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.
Deadline : 15.Aug.2022
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in large-scale distributed machine learning
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.
Deadline : 15.Aug.2022
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in integrated formal methods
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.
Deadline : 15.Aug.2022
(04) PhD Degree – Fully Funded
PhD position summary/title: Doktorand inom robusta digitaliserade framtida elnät
Framtida elkraftsystem förväntas ha ett högt genomslag av förnybar energi, energilagring, producenter och konsumenter med elektriska bilar, smarta hem och hushållsapparater. När komplexiteten och sektorkoppling i energisystemet ökar, kommer frekvensen av oväntade händelser att öka samtidigt som svängmassan i systemet håller på att sjunka. Dessutom leder ökad digitalisering till att energisystemet i hög grad exponeras för cyberattacker. Säkerheten och resistens av energi-infrastrukturen är avgörande för ett välfungerande samhälle.
Deadline : 2022-08-08
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(05) PhD Degree – Fully Funded
PhD position summary/title: Doktorand inom robusta framtida elnät
Framtida elkraftsystem förväntas ha ett högt genomslag av förnybar energi, energilagring, producenter och konsumenter med elektriska bilar, smarta hem och hushållsapparater. När komplexiteten och sektorkoppling i energisystemet ökar, kommer frekvensen av oväntade händelser att öka samtidigt som svängmassan i systemet håller på att sjunka. Dessutom leder ökad digitalisering till att energisystemet i hög grad exponeras för cyberattacker. Säkerheten och resistens av energi-infrastrukturen är avgörande för ett välfungerande samhälle.
Deadline : 2022-08-08
(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student Deep Learning for sequential and graph data
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.
Deadline : 08.Jul.2022
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(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in Networked Systems for Machine Learning
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
Deadline : 17.Aug.2022
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (lic) in dynamic train-track-bridge interaction
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.
Deadline : 29.Jul.2022
(09) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. Student in extended reality visualization of neurosurgical procedures
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.
Deadline : 08.Aug.2022
(10) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. students in robust learning of dynamical nonlinear stochastic 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.
Deadline : 15.Aug.2022
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate) in integration of high-speed rail and air services
The doctoral student is expected to explore the potentials (demand and passenger valuations, social benefits, etc.) of HSR-air integration (and maybe further HSR-X integration) for international and domestic travels in Sweden by applying different quantitative methods with a particular focus on discrete choice models. The results can be used to infer policy conclusions about the real attractiveness of the HSR-Air integrated alternative for domestic and international travel in Sweden.
Deadline :15.Aug.2022
(12) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate)in method development for railway 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.
Deadline : 15.Aug.2022
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(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Polymer Technology
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.
Deadline : 12.Aug.2022
(14) PhD Degree – Fully Funded
PhD position summary/title: “Ph.D. student in AI for link-layer efficient in wireless communications
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.
Deadline : 15.Aug.2022
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in high-speed datacenter networking
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.
Deadline : 01.Aug.2022
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Social Robotics
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.
Deadline : 15.Aug.2022
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(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Cellular Biophysics
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.
Deadline : 01.Sep.2022
(18) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. student in information theory for Markov decision processes
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.
Deadline : 12.Aug.2022
(19) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in robotics and perception
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?
Deadline : 15.Aug.2022
(20) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in in biocatalysis
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.
Deadline : 31.Aug.2022
(21) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Topological data analysis
We are looking for a doctoral student who is interested in connections between algebraic topology and statistics. The candidate should have experience with at least one of these areas and will be part of our topological data analysis group. The position is financed by WASP program with collaboration with the mathematics department at KTH. The advisor will be Prof. Wojciech Chachólski.
Deadline : 15.Jul.2022
(22) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in data-driven geometric methods for robotics
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.
Deadline : 08.Aug.2022
(23) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (lic) Bio-based composite materials for sustainable roads
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).
Deadline : 01.Sep.2022
(24) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in 6G Wireless Networks for Connected Sky
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).
Deadline : 08.Aug.2022
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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