Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.

1. PhD Position in Organic Redox Flow Batteries

Summary of PhD Program:

The increased implementation of renewable energy sources such as solar and wind in the energy system results in an electricity production less adapted to the consumption. A solution is to store energy for shorter or longer periods in batteries. In Redox Flow Batteries (RFB), the energy is stored in tanks with redox-active solutions and not in solid materials as in conventional batteries. The design makes them particularly suitable for medium and large-scale stationary energy storage. Today’s commercial RFBs are based on metal ions typically from vanadium, which is scarce, expensive and toxic. A hot research area is to find more environmentally friendly and less costly organic redox-active substances as alternatives.

Last Application Date: 01.Nov.2022

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2. PhD Position in Biocatalysis: Scale-up for sustainable enzyme chemistry

Summary of PhD Program:

The utilization and adaptation of Nature’s tools for sustainable manufacturing of chemical products is a fast-developing research field and methods for enzyme design have recently been awarded a Nobel prize in chemistry. The design of enzymes requires both a fundamental molecular-level understanding and engineering skills. We are studying a type of industrial enzymes called transaminases and we are now looking for a doctoral student for a new project to explore the stability of these enzymes with protein engineering tools. The stability studies will be integrated with scale-up experiments in the unique infrastructure at Danish Technical University (DTU). We are looking for a candidate with a large interest and experience of applied enzymology, molecular biology and organic chemistry.

Last Application Date: 31.Oct.2022

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3. PhD Position in controlling building energy systems

Summary of PhD Program:

In the transition toward low-energy buildings and the 5th generation of district heating, using data-driven approaches to integrate decentralized renewables with optimal control will play a vital role. You will join an exciting research team and interdisciplinary EU project to develop and apply machine learning (ML) techniques, novel system control and optimization methods to integrate/operate various decentralized renewable systems in the 4th-5th generation of district heating and building HVAC systems. You will perform dynamic simulations of energy operation (both thermal and power), as well as testing the developed ML methods/control solutions in multiple live-in-labs across Europe.

Last Application Date: 30.Sep.2022

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4. PhD Position in Bridge Engineering – new concepts for high speed tracks

Summary of PhD Program:

Construction of new and restauration of existing railway lines for higher train speeds demands bridges built with minimized environmental impact. This motivates studies of new design and construction solutions contributing to reduced resource consumption and reduced emissions. The development of fossil free steel has reached far and steel bridges can be made lighter than conventional concrete bridges, which gives positive effects such as reduced transport volumes, easier construction, and less complex foundation arrangements. Further environmental benefits can be attained if weathering steel is used, which do not have to be surface treated and painted over the intended service life.

Last Application Date: 05.Oct.2022

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5. PhD Position in algorithms and architectures for high-performance machine-learning

Summary of PhD Program:

This research project will develop faster, more resource-effective and more scalable methods for machine learning and decision-making. The research includes algorithm development, mathematical analysis, implementation and performance evaluation. Working together with experts in computer architecture, we will investigate how machine learning algorithms and computer systems can be improved and radically re-designed for unprecedented efficiency and scalability.

Last Application Date: 06.Oct.2022

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6. PhD Position in deep generative models for cancer research

Summary of PhD Program:

Variational autoencoders (VAEs), a part of the Variational inference (VI) methodology, has recently become important in analysis of large single-cell and spatial bio data. Yet, employing them for posterior approximations in Bayesian phylogenetics is a difficult problem. Clear examples of successful applications are still outstanding. Following recent trends in VAE research, one may hypothesize that it may be addressed by incorporating inductive biases, modeling more advanced prior distributions, and/or via architecture design. This project aims to explore the possibility of employing VAEs or other deep generative models in the setting of somatic cancer evolution and Bayesian phylogenetics. By doing so, the Ph.D. will simultaneously contribute to two highly impactful scientific fields: computational bio/cancer and Bayesian inference in deep learning.

Last Application Date: 14.Oct.2022

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7. PhD Position in artificial intelligence for wireless communications

Summary of PhD Program:

We are seeking one PhD student with a strong background and interest in Mathematics, Optimization, Machine Learning, and Wireless Networks. The following research directions will be investigated: Artificial Intelligence for wireless networking. The PhD project is sponsored by the research project SSF AICOM – Artificial Intelligence for Wireless Communications, a recent major research project that involves leading Swedish universities and scholars. The PhD project will consider Internet of things, smart cars or smart homes, augmented and virtual reality and the metaverse as application domains.

Last Application Date: 06.Oct.2022

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8. PhD Position in Information theory for stochastic decision problems

Summary of PhD Program:

In this project we will expand those results with the goal to enhance the basic understanding as well as setting the basis for a framework for optimal designs. This new approach will lead to new fundamental insights and it might lead to solutions of long-standing fundamental problems. Moreover, it should be explored how these results can be exploited to understand better and improve machine learning algorithms. The Information Science and Engineering Division at KTH Electrical Engineering has 12 faculty members and presently about 35 PhD students, who contribute to a high professional standard of intensive work and quality results, as well as to a friendly and open environment.

Last Application Date: 14.Oct.2022d

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9. PhD Position in High Temperature Thermal Energy Storage

Summary of PhD Program:

High-temperature thermal energy storage enables widespread exploitation of renewable energy sources, providing flexibility for tomorrow’s energy system. This PhD project will investigate the performance of advanced thermal energy storage configurations that exploit the use of inexpensive recycled materials and non-toxic and cost-effective heat transfer fluids such as metal slags and air. The work is carried as part of a recently awarded project within Horizon Europe and is to be performed in collaboration with academic and industrial partners.

Last Application Date: 30.Sep.2022

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10. PhD Position in computational thermodynamics

Summary of PhD Program:

At the Unit of Structures, Dept. for Materials Science and Engineering, KTH, research is underway that leads to new models and descriptions for the next generation of thermodynamic databases. Thermodynamic databases are used in conjunction with software to predict the state of a material and are used worldwide by both industry and academia. In the proposed project, the newly developed descriptions will be used and extended to model industrially important material phenomena. The so-called CALPHAD methodology will be combined with DFT (Density Functional Theory) and machine learning. You who are applying have a master’s degree, or will get your exam soon, in materials science, materials physics or a related field. You are interested in mathematics and modelling and like problem-solving. You can work independently and in a team.

Last Application Date: 06.Oct.2022

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11. PhD Position in 6G Industrial Wireless Networks

Summary of PhD Program:

Our research group has a decade-long track record in leading academic research with real-world impact in the area of industrial wireless networking. We are looking for an outstanding individual interested in integrating with a strong KTH-internal team as well as with external stakeholders in order to shape future 6G networks. We typically combine fundamental research work (leveraging methods from communication and queuing theory) with experimental testbed development and trials. Candidates with a strong track record in either of these domains (with respect to wireless networking) are encouraged to submit applications. Solid command of machine learning theory and/or practical skills is a plus.

Last Application Date: 06.Oct.2022

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12. PhD Position in sustainable and circular urban agriculture

Summary of PhD Program:

The aim of this project is to explore, develop, and analyze more circular-based production methods for urban-vertical farms. More specifically, the project has the objectives to 1) identify the potential for improving resource efficiency and new product development through more circular use of materials and energy for urban food systems, 2) understand and analyze the implications of circular based production models to improve the sustainability of processing and products, and 3) improve and facilitate knowledge and the development of new synergies for more circular urban food production systems.

Last Application Date: 29.Sep.2022

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13. PhD Position in Applied Math. within Optimization and Systems Theory

Summary of PhD Program:

In this project we will focus on two types of problems based on the control objectives and available information: microscopic and macroscopic control. In the former the control objective is to achieve some formation in self-organized way, and modeling and shaping interaction among the agents is possible. In the latter the control objective is given in some statistical sense and modeling and shaping interaction among the agents is not feasible. To study these problems, it is very useful to borrow ideas from non-cooperative game theory in which emergence of the MAS can be tightly connected to Nash equilibria, and to use ideas of controlling moments of a distribution for large scale systems.

Last Application Date: 10.Oct.2022

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14. PhD Position in chemistry

Summary of PhD Program:

The position will be connected to the EU financed project RADOV, which has the overall goal to extract bioactive peptides from egg proteins, and to incorporate these in advanced functional products. The specific part of the research project associated with this position regards irradiation of the proteins in order to obtain peptide fragments for further biological investigation and treatment. An important part of this work consists of analysis and characterization of the formed peptides using separation techniques like chromatography and capillary electrophoresis, and mass spectrometric techniques like ESI-MS and MALDI-MS.

Last Application Date: 30.Sep.2022

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15. PhD Position in Synthetic biology to enhance carbon conversion in cyanobacteria

Summary of PhD Program:

This Ph.D. position is in the Division of Systems Biology, part of the Department of Proteomics. The group of Paul Hudson does research on bacteria that fix carbon dioxide, such as cyanobacteria. Cyanobacteria in particular are also models for carbon fixation in plant chloroplasts. This project will develop and apply new synthetic biology methods with the aim to enhance the rate of carbon fixation and conversion in cyanobacteria. Such methods include, for example, CRISPR/Cas gene editing, dynamic enzyme regulation, as well as screening of genetic libraries. The project will also use systems biology techniques, such as genomics and proteomics, to achieve these goals.

Last Application Date: 30.Sep.2022

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16. PhD Position in applied mathematics for electromagnetic design

Summary of PhD Program:

Electromagnetic design is in the process of a paradigm shift. This project is a part in this effort with the goal of changing how we think and do electromagnetic design. In the project we will use and develop mathematical tools to solve difficult and challenging design problems, mainly with the focus on array antennas, filters and sensors. The PhD-studies will contain a combination of complex analysis, optimization in for example sparsity, scientific computations, quasi-christal patterns and active systems. The aim of the project is both to obtain fundamental limitations of the investigated system as well as realization that are close to the obtained limitations.

Last Application Date: 17.Oct.2022

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17. PhD Position in dynamic train-track-bridge interaction

Summary of PhD Program:

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. The candidate will be employed at the division of Structural Engineering and Bridges. The project is a cooperation with the Swedish Transport Administration.

Last Application Date: 10.Oct.2022

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18. PhD Position in Bio-based composite materials for sustainable roads

Summary of PhD Program:

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: 30.Sep.2022

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19. PhD Position in machine learning and 3D mammography

Summary of PhD Program:

Tomosynthesis is a promising 3D modality for diagnosing breast cancer. Deep learning is the most successful form of artificial intelligence (AI). The aim of this project is to utilize a unique database of tomosynthesis and mammography images and new methods in deep learning to create novel diagnostic tools for breast cancer. The position offers good opportunities to gain deeper knowledge of recent techniques in deep learning such as generative adversarial networks (GAN), spherical convolutional neural networks or normal appearance autoencoders, a method developed in our group, in addition to explainable-AI and uncertainty quantification methods. The selected candidate will be part of the EU-funded European Training Network consortium BosomShield. That includes access to educational and career development activities from the network and several secondment visits to the partners.

Last Application Date: 29.Sep.2022

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20. PhD Position in process metallurgy

Summary of PhD Program:

The focus of the project is to develop a sampling technique for improving the use of alloys and materials during steelmaking. The developed technique will be deployed in steelplants combining it with modern IoT communication tools. In the pilot-scale research, computational simulations will be performed with specialized CFD software packages to design the sampler with specific requirements for steel sampling. Along with the modeling work, laboratory investigatons will be carried out to understand the interaction between steel, slag, and refractory and to develop the required tools. In the later stages of the study, comprehensive plant trials at industrial sites will be conducted for further verification.

Last Application Date: 04.Oct.2022

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21. PhD Position in Electricity Hedge Markets in Nordic Region

Summary of PhD Program:

Around the world, electricity spot prices tend to be highly volatile, varying both across time and across locations on the network. For this reason, as with many other commodities, financial markets have emerged for mitigating the risk and providing signals to investors. The market participants who trade in electricity across different pricing areas are exposed to locational basis risk – the difference in the price between the point at which the electricity is injected into the network and the point at which it is withdrawn. However, these inter-locational hedging instruments have not been subject to the same degree of development or attention as the inter-temporal hedging instruments. The Electricity Price Area Differentials or EPAD contract is one such inter-locational hedging instrument which allows members on the power exchange to hedge against the area-price risk.

Last Application Date: 06.Oct.2022

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22. PhD Position in Intensified production process of AAV for gene therapy

Summary of PhD Program:

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.Oct.2022

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23. PhD Position in Nuclear Power Safety

Summary of PhD Program:

The Division of Nuclear Power Safety conducts research on accident phenomena of risk importance to existing and future nuclear reactors, and performs safety analysis for nuclear power plants, including design basis accident analysis and severe accident analysis. The research projects involve extensive international cooperation. We are looking for a doctoral student to carry out frontier research on modeling of accident phenomena in nuclear reactors; and safety analysis of nuclear power plants. The successful candidate is expected to (i) develop models and approaches for simulation of accident phenomena in nuclear reactors; and (ii) perform safety analysis of nuclear power plants using the developed models and approaches.

Last Application Date: 05.Oct.2022

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24. PhD Position in Joint Radio and Communications

Summary of PhD Program:

The PhD research project aims to design and optimize JRC (joint radio and communication) waveforms/sequences and network resources for improved sensing and communication capabilities in beyond 5G (6G) mobile networks. Traditionally, the functionalities of sensing and communications are separate technologies, which lead to low efficiency, long latency, and substantial waste of resources. JRC can simultaneously sense around environments and transmit information messages, especially in high-frequency bands. Thus, the main objectives of the project are to design and optimize JRC with long range and high resolution for radar detection, accurate channel estimation capability, high spectrum and power efficiency, and supporting for multi-user operation and with limited complexity. The project will be a collaboration between KTH and NTU (Nanyang Technology of University, Singapore). The doctoral student will have the chance to collaborate with both KTH and NTU teams.

Last Application Date: 21.Oct.2022

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25. PhD Position in Wireless Communications

Summary of PhD Program:

While 5G networks have been deployed, 6G mobile techniques have been investigated and developed recently. To achieve ambitious objectives, (ultra) massive MIMO is considered to be one of key candidate technologies, which can provide high rates and large coverage. This project will investigate the emerging technologies, jointly with massive MIMO such as lens antenna and large intelligent surface. The student will have opportunities to strengthen cutting-edge knowledge in communication, information theory and optimization. The project will be hosted by the Division of Information Science and Engineering.

Last Application Date: Open Until Filled

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26. PhD Position in Networked Systems Security

Summary of PhD Program:

We invite applications for doctoral student positions with the Networked Systems Security (NSS) lab at EECS/SCS. We are looking for highly motivated individuals to pursue a PhD in security and privacy. The positions involve activities leading to original research and results in peer-reviewed publications. The research topics can relate with any of the NSS group areas (https://www.eecs.kth.se/nss). The NSS group designs and builds trustworthy networked systems, with a research agenda covering a gamut of security and privacy problems and results that got significant attention by the research community. NSS introduced a new security curriculum at KTH. Candidates with experimental/systems or theoretical profiles and research interests in any aspect of security and privacy are welcome to apply.

Last Application Date: 01.Dec.2022

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27. PhD Position in spectral urban-flow simulations and deep learning

Summary of PhD Program:

The goal of this project is to use computational-fluid-dynamics (CFD) methods and experiments for the analysis of turbulent flows in urban environments. 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 the geometry and inflow conditions on the physics, and the pollutant concentration in the city. We are also interested in using deep-learning methods for non-intrusive sensing, so as to create detailed maps of velocity and pollutant concentration in the city from sparse measurements.

Last Application Date: 17.Oct.2022

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28. PhD Position in Micro and Nanosystems

Summary of PhD Program:

The Division of Micro and Nanosystems at the KTH School of Electrical Engineering invites applications for two Ph.D. student positions. We are seeking applicants who have a desire to conduct cutting-edge research within the areas of photonic MEMS and/or nanoscale and NEMS relays for logic/electronic applications. In our collaborative project with international partners from the EU, your task will be to develop next-generation MEMS/NEMS devices with dramatically improved, or entirely novel functionalities. As a Ph.D. student in MEMS and NEMS you will be part of an interdisciplinary research team that consists of members with different professional and cultural backgrounds. All projects involve both theoretical and experimental tasks as well as cooperation with other scientific disciplines. Experimental work will be conducted in the KTH micro and nano fabrication cleanroom in Stockholm-Kista and the KTH laser lab. The projects engage several fellow Ph.D. students at MST and are supervised by at least two senior researchers. The projects are conducted in close cooperation with high-profile industrial partners and European universities.

Last Application Date: 30.Sep.2022

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29. PhD Position in Chemical Engineering

Summary of PhD Program:

The latest IPCC report highlights the need for CO2 capture and storage (CCS) to meet the Paris Agreement target. Sweden, for example, has committed to achieving truly zero emissions of greenhouse gases by 2045 and achieving negative emissions in the following years. Therefore, there is a need for CO2 capture units which should be deployed on a large scale. In fact, CO2 capture units are based on an established technology for handling syngas in a closed circuit at high pressure. The application to flue gas is quite different. In fact, the latest CCS uses MEA solvents and costs >1 TWh/MT of CO2 captured, leads to pollution risks and breaks down fast/high chemical usage. Recent life cycle analyzes have shown that the total cost of MEA-CCS comes close to canceling out the benefits.

Last Application Date: 14.Oct.2022

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30. PhD Position in high-speed datacenter networking

Summary of PhD Program:

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.

Last Application Date: 29.Sep.2022

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31. PhD Position in aging of Automotive Batteries

Summary of PhD Program:

An appropriate background is a Master’s degree based on electrochemistry, chemical engineering, engineering physics and mathematical modelling. Excellent knowledge of written and spoken English and documented skills in summarizing research results in written and oral presentation is required.

Last Application Date: 30.Sep.2022

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32. PhD Position in Planning and Control for situation-aware multi-agent systems

Summary of PhD Program:

The school of EECS announces a PhD position within the Horizon-Europe Innovation Council (EIC) project “Symbolic Logic Framework for Situational Awareness in Mixed Autonomy (SymAware)”. The ultimate goal of this project is to develop a framework that enables robots to actively perceive risks in dynamically changing environments and collaborate with other robots and humans to improve their awareness while aiming at fulfilling complex and dynamically changing tasks. The position will involve the topics of multi-agent planning and control, formal methods, and situational awareness with an emphasis on human-in-the-loop.

Last Application Date: 30.Sep.2022

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33. PhD Position in modeling and effect analysis of ship’s dynamics

Summary of PhD Program:

The research studies are part of KTH Naval Architecture’s ship dynamics program for modeling of ship motions and analysis of its impact on crew, equipment and cargo, as well as on the ship system’s operability in the variety of sea states. We envision a starting point in ongoing model and method development for time domain simulation e.g. in direct stability assessment, following the new intact stability code IMO/SGISC. Another part of the seakeeping analysis, anticipated for the research studies, address the motions’ influence on work and mission performance at sea. This includes both modelling of the ship motions as such and how crew responds to them. In addition to numerical modeling, the project is expected to include experimental field studies in collaboration with ship crews and experts in fields such as occupational science.

Last Application Date: 03.Oct.2022

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34. PhD Position in Printed Electronics

Summary of PhD Program:

The doctoral study will be conducted at Division of Electronics and Embedded Systems at KTH. This research focuses on developing printing processes to fabricate sustainable electronic devices. Functional inks will be formulated with emerging materials, such as conductive 2D materials (especially graphene and MXenes), quantum dots, conducting or semiconducting polymers, and polyelectrolytes. Inkjet printing and direct ink writing processes will be developed to directly print the functional inks onto various substrates to fabricate microscale devices for electronics, energy storage, and/or energy harvesting applications.

Last Application Date: 06.Oct.2022

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35. PhD Position in Remote Sensing and AI for wildfire monitoring

Summary of PhD Program:

The candidate is expected to participate in a research project entitled “Earth Observation Big Data and Deep Learning for Wildfire Monitoring’. The overall objective of this research is to develop innovative and robust methods and algorithms using Earth observation (EO) big data and deep learning for wildfire detection, progression monitoring and damage assessment. The tasks and responsibilities include algorithm development, satellite image analysis, classification and change detection, writing scientific articles, licentiate and PhD thesis.

Last Application Date: 29.Sep.2022

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36. PhD Position in Biomedical fluid mechanics

Summary of PhD Program:

We have now the opportunity to expand our research group with one more PhD student having a background in engineering physics, applied mathematics or mechanical engineering. We seek a PhD student that is highly motivated by cross disciplinary (medical technology) work where the focus will be directed towards understanding blood clot formation in artificial components and in our circulatory system important to improve patient treatment, particularly focusing on intensive care and renal medicine. Both numerical and experimental work will be carried out.

Last Application Date: 29.Sep.2022

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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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How to Write Motivation Letter for PhD Program?

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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Motivation Letter vs Cover Letter I All You Need To Know

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

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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How to Write Cover Letter for PhD Program?

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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How to Write Motivation Letter for PhD Program?

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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Motivation Letter vs Cover Letter I All You Need To Know

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

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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