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 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.

Last Application Date: 23.Jun.2022

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

Summary of Doctoral Project:

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). The candidate will be employed at the division of Structural Engineering and Bridges. The project is a cooperation with the division of Network and Systems Engineering.

Last Application Date: 30.Jun.2022

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3. 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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4. 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: 09.Jun.2022

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5. 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.

Last Application Date: 30.Jun.2022

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6. 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.

Last Application Date: 2022-06-14

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7. 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.

Last Application Date: 2022-06-14

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8. Doctoral student in Safe Autonomy

Summary of Doctoral Project:

The Division of Decision and Control Systems are currently looking for one doctoral student with a very strong background and interest in control systems and mathematics. The successful candidate will join an interdisciplinary project on developing software-defined solutions for the digitalization of society (see https://ebjornson.com/success/). The candidate will develop novel decision and control mechanisms to enable cooperation between devices for resilient autonomy with explicit consideration to reducing the energy consumption.

Last Application Date: 20.Jun.2022

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9. 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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10. 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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11. 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.

Last Application Date: 15.Aug.2022

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12. 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.

Last Application Date: 13.Jun.2022

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13. 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.

Last Application Date: 09.Jun.2022

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

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

Summary of Doctoral Project:

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

Last Application Date: 05.May.2022 

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2. Doctoral student in business models for electrific road transports

Summary of Doctoral Project:

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

Last Application Date: 19.Apr.2022

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3. Doctoral student in Electroanalytical Wearable Devices

Summary of Doctoral Project:

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

Last Application Date: 05.May.2022

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

Summary of Doctoral Project:

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

Last Application Date: 25.Apr.2022

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

Summary of Doctoral Project:

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

Last Application Date: 29.Apr.2022

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6. Doctoral student in intelligent power systems

Summary of Doctoral Project:

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

Last Application Date: 10.May.2022

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

Summary of Doctoral Project:

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

Last Application Date: 22.Apr.2022

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8. Doctoral students in mathematics

Summary of Doctoral Project:

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

Last Application Date: 22.Apr.2022

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

Summary of Doctoral Project:

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

Last Application Date: 29.Apr.2022

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10. Doctoral student in machine learning for robotic manipulation

Summary of Doctoral Project:

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

Last Application Date: 16.May.2022

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

Summary of Doctoral Project:

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

Last Application Date: 05.May.2022

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12. Doctoral student in Organic Redox Flow Batteries

Summary of Doctoral Project:

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

Last Application Date: 28.Apr.2022

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

Summary of Doctoral Project:

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

Last Application Date: 18.Apr.2022

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14. Doctoral student in lightweight construction

Summary of Doctoral Project:

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

Last Application Date: 2022-05-05

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

Summary of Doctoral Project:

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

Last Application Date: 29.Apr.2022

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16. Doctoral student in Carbohydrate Food Biochemistry

Summary of Doctoral Project:

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

Last Application Date: 06.May.2022

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

Summary of Doctoral Project:

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

Last Application Date: 13.May.2022

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18. Doctoral student in Robust Machine Learning

Summary of Doctoral Project:

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

Last Application Date: 02.May.2022

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19. Doctoral student in Architecture’s theory and history

Summary of Doctoral Project:

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

Last Application Date: 2022-04-18

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20. Doctoral students in Scalable and Distributed Reinforcement Learnin

Summary of Doctoral Project:

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

Last Application Date: 30.May.2022

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

Summary of Doctoral Project:

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Last Application Date: 13.May.2022

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22. Doctoral student in Mathematical Statistics

Summary of Doctoral Project:

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

Last Application Date: 02.May.2022

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23. Doctoral student in Data visualization

Summary of Doctoral Project:

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

Last Application Date: 31.May.2022

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24. Doctoral student in Computational Biology and Machine Learning

Summary of Doctoral Project:

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

Last Application Date: 30.Apr.2022

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

Summary of Doctoral Project:

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

Last Application Date: 2022-04-27

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26. Doctoral student in molecular biophysics

Summary of Doctoral Project:

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

Last Application Date: 30.Apr.2022

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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 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 door 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 devise a language that can be used to decompose network programs into per-device configuration in a way that allows operators to reason about the performance of the network.

Last Application Date: 31.Mar.2022

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2. Doctoral student in pyrolysis and gasification of residual biomass

Summary of Doctoral Project:

This PhD project will focus on identifying and testing suitable bed materials that can act as catalysts and heat carriers in fluidized bed reactors. The research is of importance to further develop and improve fast pyrolysis and gasification processes for effective and sustainable conversion of waste biomasses. In your research, you will collaborate with researchers at KTH, Luleå University of Technology (LTU), Technical University in Wien/BEST (Austria), and the technology owner BTG/BTG-BTL (The Netherlands). You will also have the opportunity to collaborate with partners in the international consortium of the ABTOMAT (ERA-MIN 3 EU Co-fund project) project.

Last Application Date: 04.Apr.2022

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3. Doctoral student in cybersecurity: Threat modeling and analysis

Summary of Doctoral Project:

Society’s critical infrastructure (the electric power system, telecommunications, water distribution, etc.) are to a large extent controlled by industrial IT systems. It is important to protect these systems from attacks from malicious actors. A Security Operations Centers (SOC), which collects large amounts of data generated by the industrial IT systems in order to detect, respond to, or to alert human operators of the presence of cyber attacks, may act as an important defense. In order to achieve this, it is necessary to in real-time detect cyber intrusions, to respond to security incidents, to hunt for threats in the environment and to gather threat intelligence. This presents a number of exciting research challenges to automate such tasks and by this improving SOC capabilities. We do this by applying a combination of security threat modeling, machine learning, and data mining.

Last Application Date: 01.Apr.2022

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4. Doctoral student in business models for electrific road transports

Summary of Doctoral Project:

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

Last Application Date: 07.Apr.2022

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5. 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: 21.Apr.2022

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

Summary of Doctoral Project:

Third-cycle subject: Applied and Computational Mathematics, specialization Numerical Analysis. The project aims to develop theory and methods from deep learning for modelling protein structure and dynamics in 3D electron microscopy.

Last Application Date: 13.May.2022

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8. 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.

Last Application Date: 31.Mar.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.

Last Application Date: 30.May.2022

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10. Doctoral student in resilient operation of future power grids

Summary of Doctoral Project:

The REDISET project aims to identify, analyze, and develop proposals for risk reduction measures for possible weaknesses in digital security and resilience in a strongly integrated and sector-linked energy system. This PhD project is a part of the REDISET project and aims to develop a holistic approach for resilience and secure operation of future sustainable grids. The doctoral student will develop descriptions of future energy systems as well as control mitigation strategies against disturbances and attacks. The REDISET project is funded by Nordic Energy Research and will work closely with three TSOs (Statnett, svenska kraftnät and Fingrid).

Last Application Date: 01.Apr.2022

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11. Doctoral student in resilient future power grids

Summary of Doctoral Project:

Future power systems are expected to have high penetration of renewables, energy storage, smart home prosumers with electrical cars and household appliances. As complexity of the power system increases and the digitalisation of the energy system is progressing, the frequency of unexpected events will increase at the same time as the inertia in the system is shrinking, making it more sensitive to disruptions with less time to act. This makes the energy system vulnerable for cyber and physical attacks, which are likely to increase. Improving security of energy infrastructure and resilience is therefore crucial for the functionality of our societies.

Last Application Date: 01.Apr.2022

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12. Doctoral student in secure networked control systems

Summary of Doctoral Project:

The Division of Decision and Control Systems conducts fundamental research in networked control systems, cyber-physical systems, system identification, and transport systems. Industrial projects involve partners such as ABB, Ericsson, and Scania. A major part of the research is conducted in EU projects in collaboration with industry and universities. We have a large academic network and collaborate with researchers at Caltech, MIT, UC Berkeley, Stanford, among others.

Last Application Date: 21.Mar.2022

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13. Doctoral student in distributed coordination of underwater robots

Summary of Doctoral Project:

Two doctoral positions within the WASP NEST project DISCOWER: Distributed Control in Weightless Environments. The employment is part of and funded by Wallenberg AI, Autonomous Systems and Software Program (WASP), the largest individual research program in Sweden (https://wasp-sweden.org/). The project will involve the subject of distributed robust model predictive control of multi-agent systems with applications in space and underwater robotics. These two environments jointly share unconventional gravitational conditions (relative weightlessness) compared to traditional land-based and flying robots. Both space and underwater environments also involve operations in extreme and inaccessible environments. These common features will be used in the design and analysis of relevant distributed robust control methods that will be applied in both environments in a uniform manner.

Last Application Date: 15.Apr.2022

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14. Doctoral student in Computer Science

Summary of Doctoral Project:

The department of computer science and technology, part of the School of Electrical Engineering and Computer Science invites applications for one doctoral student position in Computer science. The doctoral position focuses on designing and developing advanced computational methods, systems, and high-performance data analysis techniques for space applications. These advanced techniques will be deployed to forecast and visualize on high-performance computing systems. The research is carried out within the ESA project “CosmoWeather” and the high-performance computing projects DEEP-SEA and IO-SEA.

Last Application Date: 21.Mar.2022

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

Summary of Doctoral Project:

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

Last Application Date: 10.Mar.2022

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16. Doctoral student (licentiate) in Life cycle assessment of buildings

Summary of Doctoral Project:

The PhD project will focus quantitative environmental assessment of buildings in a life cycle perspective, including method development. The work embraces analyses of both new-build and refurbishment of buildings and encompasses analytical work on research questions of high relevance for the building industry and policy development of today. The person we look for is expected to have a background in environmental or civil engineering, specialized in the built environment/urban infrastructure field and preferably having experience of work on sustainability in building and construction, environmental assessment of buildings as well as an interest in policy aspects.

Last Application Date: 24.Mar.2022

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17. Doctoral student in Intensified production process of AAV for gene therapy

Summary of Doctoral Project:

The focus of the project is adeno-associated virus bioproduction in bioreactor for gene therapy. The purpose is the development of an intensified process using an established human cell line for the production of these viral vectors, where in particular high cell concentration is obtained by perfusion operation. The project will be part of the research ‘milieu’ GeneNova funded by Vinnova, and which is driven in collaboration with the companies AstraZeneca, Vironova, AlfaLaval, Combigene, Biotage, Ziccum, as well as academic groups of KTH, Karolinska Institutet and Uppsala University.

Last Application Date: 01.Apr.2022

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

Summary of Doctoral Project:

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

Last Application Date: 10.Mar.2022

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19. Doctoral student in Electroanalytical Wearable Devices

Summary of Doctoral Project:

The project relies on fundamental electrochemistry understanding of membrane-based systems for the determination of biomolecules with the proper implementation in wearable devices. The project will be carried out at the Department of Chemistry.

Last Application Date: 05.May.2022

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20. Doctoral student in Data-driven plasma proteomics

Summary of Doctoral Project:

We are looking for one PhD student to work on data analysis of the protein biomarkers in blood to study the states of health. The doctoral student will work on data generated by highly multiplexed analysis methods of human blood samples that originate from different patient cohorts, such as breast cancer. The task is to develop bioinformatics pipelines for data analysis, integrate multiple layers of data, and establish interfaces for data interpretation and visualization.

Last Application Date: 21.Mar.2022

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21. Doctoral student (licentiate) in Modelling and simulation of automated vehicles

Summary of Doctoral Project:

We are looking for a PhD student who is interested in further developing current traffic models to enable analysis of future automated traffic systems. The introduction of self-driving vehicles is gradual. Whether the infrastructure is ready to safely and efficiently “manage” the transition period where vehicles with different levels of automation and capabilities will share the road space with conventional vehicles and active traffic modes is still unclear. Automated vehicles may also give rise to new shared mobility services that can also contribute to a more efficient transport system, but the conditions for achieving these effects are still unknown.

Last Application Date: 31.Mar.2022

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22. Doctoral student in Lignin-based Materials

Summary of Doctoral Project:

The project aims at gaining fundamental insights on the synthesis of sustainable bioplastics from lignin. Lignin is the world’s largest source of biophenolics and is found in biomass. In this project, new production processes for high quality lignin from biomass will be developed, and the obtained lignin will be chemically modified for synthesis of thermosets. The modifications are focused on green and sustainable chemistry. The structure properties relations of the material are the foundation for future lignin biorefinery processes and application spectra of lignin-based plastics. Accurate characterization for molecular structure include 1D and 2D NMR, GC MS, LC MS, and GC FID and material characterization techniques include DMA, TGA, FTIR.

Last Application Date: 31.Mar.2022

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23. Doctoral student (Licentiate) in Fluid and Climate Theory

Summary of Doctoral Project:

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: 07.Apr.2022

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24. Doctoral student in trustworthy machine learning for cyber-physical systems

Summary of Doctoral Project:

The aim of the project is to develop algorithms and methods for vulnerability and security risk management for ML-enabled cyber-physical systems. The project will advance the state of the art in exploring the vulnerabilities of ML algorithms to realistic attacks, and the potential impact of such attacks on the trustworthiness of the entire system. It will develop solutions based on multiple sensing modalities and algorithmic solutions for introducing redundancy in ML-enabled systems, and will attempt to develop a methodology for addressing the pressing need for the certification of AI/ML enabled components of automated and autonomous systems. The project will be executed in close cooperation with major industrial and public collaboration partners from the railway domain.

Last Application Date: 23.Mar.2022

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25. Doctoral student in Human-Robot Interaction and Social Decision Making

Summary of Doctoral Project:

We seek a PhD student interested in Human-Robot Interaction, Psychology, Behavioral Economics, and Artificial Intelligence and who will work in a newly funded five-year project at the Department of Speech, Music and Hearing (www.kth.se/tmh) at KTH. The project is financed by Marianne and Marcus Wallenberg Foundation, and is a collaboration between KTH (PI Gabriel Skantze), Stockholm University (co-PI Jonas Olofsson) and Stockholm School of Economics (co-PI Anna Dreber Almenberg). Gabriel Skantze will be the main supervisor of the PhD student and the others co-supervisors. The aim of this interdisciplinary project is to investigate how human-like traits (agency and anthropomorphism) in social robots and AI affect how humans interact with the technology, with respect to psychological and social factors critical for meaningful long-term social interactions and decision making, including trust, reciprocity, altruism, and honesty.

Last Application Date: 01.Apr.2022

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

Summary of Doctoral Project:

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

Last Application Date: 29.Apr.2022

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27. Doctoral students in mathematics

Summary of Doctoral Project:

The Ph.D. student positions primarily involve graduate studies with the goal of a doctoral degree. Some departmental duties are included, mainly teaching basic level courses.

Last Application Date: 22.Apr.2022

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28. Doctoral student in speech synthesis for collaborative robots

Summary of Doctoral Project:

We are looking for a doctoral student interested in AI, Machine Learning, Natural Language Processing and Human-Robot Interaction, that will work in a newly funded project at the Division of Speech, Music and Hearing (www.kth.se/is/tmh) within the School of Electrical Engineering and Computer Science at KTH. It is an internationally recognized research lab in speech and language technology, with a special research focus on human-like multimodal interaction with social robots. The newly started project “Perceiving and communicating correct-by-design autonomous systems”, where the aim is to develop collaborative robots that can perform physical tasks in a smart home environment.

Last Application Date: 01.Apr.2022

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29. Doctoral students in 6G Wireless Networks for Connected Sky

Summary of Doctoral Project:

3 PhD positions are available, which are 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: 24.Mar.2022

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

Summary of Doctoral Project:

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

Last Application Date: 22.Apr.2022

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31. Doctoral student in modelling and characterization of bearing steel

Summary of Doctoral Project:

The current project is within a newly started collaboration between SKF and Materials Science and Engineering and Solid Mechanics at KTH. You will be working in an international research environment, in collaboration with female and male experts in theoretical, computational and experimental studies of materials. Your project will be on rolling bearing steels that require excellent resistance to wear and rolling contact fatigue. This is usually achieved with a martensitic microstructure with residual austenite and carbides where performance can be improved by controlling the amount of austenite and its stability.

Last Application Date: 31.Mar.2022

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32. Doctoral student in quantum communication

Summary of Doctoral Project:

Quantum technology offers unprecedented possibilities for entirely new schemes for computation, communication and sensing, holding great promise for drastic improvements in performance and functionality, showing disruptive potential with profound impact on society, markets and everyday life. Quantum optics lies at the heart of these new developments as photons are ideal carriers of quantum information due to high-speed and low-noise propagation. Within this project, we aim at the development of quantum devices for the generation, manipulation and detection of light at the single photon level with high efficiency.

Last Application Date: 24.Mar.2022

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33. Doctoral student in thermodynamic and mechanical simulations of steel

Summary of Doctoral Project:

The current project is within a newly started collaboration between SKF and Solid Mechanics and Materials Science and Engineering at KTH. You will be working in an international research environment, in collaboration with female and male experts in theoretical, computational and experimental studies of materials. Solid mechanics can be regarded as a link between materials science and applied mechanics and this project will have large components of both. The project stems from the industrially motivated need to be able to predict phase composition, microstructure and mechanical stress and stain states due to heat treatment of modern high-performance steels.

Last Application Date: 31.Mar.2022

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34. Doctoral student in cloud robotics

Summary of Doctoral Project:

We are looking for a Ph.D. student to work on Machine Learning-based methodologies for robotic manipulation with a focus on large-scale cloud-based robotic systems where multiple robots are utilized to collect training data in parallel at scale. This position will focus on the development of robust and scalable machine learning methodologies for robotic object manipulation and transfer-learning of robotic manipulation policies trained on a cloud-robotics system under development at KTH and which will feature both local and cloud-based compute infrastructure.

Last Application Date: 15.Apr.2022

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35. Doctoral student in intelligent power systems

Summary of Doctoral Project:

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

Last Application Date: 11.Apr.2022

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