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28 PhD Degree-Fully Funded at KTH Royal Institute of Technology, Stockholm, Sweden

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KTH Royal Institute of Technology, Stockholm, Sweden invites online Application for number of  Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at KTH Royal Institute of Technology, Stockholm, Sweden.

Eligible candidate may Apply as soon as possible.

 

(01) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in robotics for fire risk assessment in rural environments

The division of Mechatronics, KTH, announces a PhD position in robotics for fire risk estimation in rural environments. The department consists of around forty employees organized in several research groups working on topics connected to robotics, such as design, reliability and autonomy. We frequently work with research-related companies, and several examples of companies that have spun off from our research exists today.

One of our research groups works closely with the forest industry with a focus on robotics, sensor systems and artificial intelligence. In the spring of 2024, we will start a project funded by MSB with a focus on how autonomous and remote-controlled forest machines can improve the coarse-grained estimation of the risk of ignition of forest and grass fires that exist today. Those interested in applying should have an interdisciplinary background in robotics or mechatronics, and a keen interest in immersing themselves in a critical societal area.

Deadline : 30.Jun.2024

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(02) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in side-Channel Analysis of Autonomous Systems

We are looking for a doctoral student to work on a project AI-Based Side-Channel Attacks and Countermeasures for Autonomous Systems, funded by Wallenberg AI, Autonomous Systems and Software Program (WASP).

At present there are no methods for assuring side-channel attack resistance of autonomous system’s physical implementations. This project aims to address this important open problem. We intend to take into account the impact of side-channel attacks on autonomous system security both destructively (by devising new types of attacks) and constructively (by designing countermeasures). We will focus on new types of side-channel attacks, including remote attacks.

The doctoral student is expected to investigate the use of advanced Machine Learning (ML) technologies for extracting secret information from physical implementations of autonomous systems using leakage from various side-channels. The acquired knowledge will be used to develop new vulnerability assessment methods and design countermeasures against side-channel attacks, along with supporting tools.

Deadline : 31.Mar.2024

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(03) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Student in Software Supply Chain Security

The doctoral student will contribute to the project WASP NEST ShiftLeft, a framework project conducted jointly with Chalmers University of Technology, Lund University, and Umeå University to explore code-centric solutions to secure the software supply chain. NESTs are flagship projects of the Wallenberg AI, Autonomous Systems and Software Program (WASP).

ShiftLeft seeks to transform the security of software supply chain by introducing a declarative code-centric platform supporting continuous security analysis. It incorporates foundational frameworks, novel abstractions combining static and dynamic techniques, and human-in-the-loop feedback with AI-driven prioritization metrics. The doctoral student will conduct research in developing foundational models  and scalable code-centric analysis for a range of vulnerability classes, including code injection, sensitive information disclosure, insecure deserialization and more.  They will explore a range of technologies including taint analysis, code property graphs, program slicing, and runtime monitoring. The doctoral student will also have the opportunity to apply the research results by building demonstrators that showcase their potential in real-life contexts, in collaboration with  Cparta Cyber Defense, Debricked, Ericsson, Recorded Futures, and SEB.

Deadline : 29.Mar.2024

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(04) PhD Degree – Fully Funded

PhD position summary/title: Doctoral students in enzymatic polymer synthesis and recycling

Syrén’s research group is recruiting up to two PhD students in enzymatic polymer synthesis and recycling for circular materials. In this research project funded by Novo Nordisk Foundation and the Swedish Energy Agency, the successful candidate(s) will develop enzyme-based technologies for the synthesis and recycling of plastics. The project involves de novo protein design and development of new-to-nature biocatalytic reactions with the aim of tackling the “plastic problem” by potentially revolutionizing green chemistry to address synthetic materials that can not be recycled today. Close collaboration with the Department of Fiber and Polymer Technology, DTU and the Science for Life Laboratory will enable the project’s interdisciplinary approach

Deadline : 29.Mar.2024

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(05) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Quantum Skyrmionics

The Materials & Nano Physics Division performs basic and applied research in various scientific areas, including quantum materials. The Ph.D. candidate will be part of the Quantum Technology & Materials group, which works on elaborating and characterizing quantum materials, ranging from superconductors to magnetic topological quasiparticles. Various experiments are conducted in in-house laboratories and large-scale facilities. Over the years, a fruitful collaboration with theoreticians has also been established.

Deadline : 18.Mar.2024

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(06) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Applied and Computational Mathematics

The department of Mathematics at the Royal Institute of Technology seeks applications for a Ph.D student position in Applied and Computational Mathematics with specialization in Numerical Analysis. The research project will be focused on development of numerical methods primarily for applications within micro-fluidics (fluid dynamics at the micro scale). The algorithms will to a large extent be based on boundary integral equations, and the project will span over theory, algorithms, software and applications. A specific challenge that will be addressed in the project is how the numerical methods can be further developed for solution of parabolic partial differential equations in time dependent domains (e.g in the interior of a viscous deformable drop).

Deadline : 18.Mar.2024

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(07) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Printed Electronics

The doctoral study will be conducted at Division of Electronics and Embedded Systems at KTH. This research focuses on developing scalable fabrication process of graphene-based sustainable antibacterial coatings on specific substrates for dedicated industrial applications. The student’s main tasks include the development of inkjet printing process for graphene coatings, antibacterial tests, and validation of the antibiofilm activity under simulated industrial environment. The interdisciplinary research is jointly supervised by researchers on process development at KTH and medical materials at Uppsala University.

Deadline : 15.Mar.2024

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(08) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in theoretical chemistry

In this project, you will develop and apply new theoretical methods to push our abilities to explore, understand and influence photoinduced phenomena in molecular systems. Current directions include photomechanical motion in photoactive proteins and effects of intrinsic magnetic fields on molecular photoreactivity. You will work alongside with other group members who work on different aspects of light-molecule interactions and the ensuing nonequilibrium response, ranging from fundamental theoretical aspects to automated multiscale simulation and analysis workflows. Beyond the method development part, you will receive in-depth training in a range of computational chemistry techniques, from electronic structure and molecular quantum dynamics methods to multiscale approaches combining AI-assisted models, dynamics and enhanced sampling. There are opportunities to benefit from collaborations with both experimental and visualization partners in Sweden and beyond. In addition to the acquired technical expertise, you will also receive training in diverse transferable skills that together will equip you with a competitive professional profile for both academia and industry.

Deadline : 15.Mar.2024

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(09) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in sound and music computing

The project “Non-verbal communication of invisible information: New methods for communicating complex and inaccessible information through sound”, funded by the Swedish Research Council, is looking for a PhD candidate.

The purpose of this project is to raise awareness and enhance understanding of the invisible digital world surrounding users of any digital device/application, especially those making use of large amounts of data. The main aim is to establish new methods for enabling the communication of complex and inaccessible information leveraging on sound as the primary communication channel. The research mainly belongs to the fields of code analysis, data sonification, interactive sonification, multisensory perception, sound design, and non-verbal communication.

Deadline : 15.Mar.2024

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(10) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Biophysics

Microscopy is a powerful tool used to study living organisms. Recent advances in microscopy have led to breakthrough discoveries in biology and medicine. In our research group, we are working to develop new microscopy techniques to study fundamental biological processes.

We are now seeking a new PhD student to join our group. You should have a Master’s degree in biotechnology or engineering physics (or equivalent). You should also have a strong interest in applied biophysics and a desire to specialize in biophysical measurement techniques.

Our research projects focus on the development of techniques and methods for use in cell biology. As an application of our technology development, we have chosen to study how individual cells connect to each other and form tissues. We will further study fundamental questions about how cells communicate with each other and how the cell’s energy needs are regulated. For this, we will develop both new ultra-sensitive measurement techniques and new methods for studying fine details in living cells.

Deadline :15.Mar.2024

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(11) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in applied and computational mathematics

The Department of Mathematics at the Royal Institute of Technoloy seeks applications for a Ph.D student position in Applied and Computational Mathematics for a project in machine learning for cryogenic electron microscopy (cryo-EM).

Cryo-EM is a method for imaging biological macromolecules using transmission electron microscopes. The end result of this process is a 3D reconstruction of the given molecule at high enough resolution to resolve individual atoms. However, the images obtained from the electron microscope are often plagued by high levels of noise which needs to be accounted for during reconstruction. This is typically solved by using a large number of images, often in the hundreds of thousands, which leads to high data collection costs. In addition, for particularly small molecules, present methods fail even for very large dataset sizes.

Deadline : 08.Mar.2024

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(12) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Applied Mathematics (spec. Mathematical Statistics)

This doctoral project focuses on problems at the intersection of probability theory, stochastic analysis and optimization which have bearing on financially motivated problems. Mathematically, we will be concerned with so-called optimal transport problems featuring stochastic constraints, on so-called measure-valued martingales, and on the usage of stochastic control theory for handling optimization problems featuring the aforementioned objects. The main goal is to identify, address and solve problems in mathematical finance; specifically those that arise when studying pricing, hedging and optimal investment under market constraints and lack of information. The precise scope and format of the project will be formed and adjusted in collaboration with the successful candidate. Interested candidates are encouraged to visit my homepage in order to familiarize themselves with my research interests.

Deadline : 08.Mar.2024

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(13) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in development of compact X-ray optics for astrophysics

The Department of Physics seeks a PhD student for the development of compact X-ray optics using micro-fabrication techniques. The goal is to use the optics in a future space mission for astrophysics. Building on prototype work (Mi et al., Nature Astronomy 3 (2019) 867) the design of the optics will be optimized using computer simulations and experiments at synchrotron X-ray beams. A scalable production process will be developed based on, e.g., nanoimprint lithography. The design of the space mission will be studied. Synergy with medical imaging is possible.

Deadline : 08.Mar.2024

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(14) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in participatory design of interactive wearables

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 are looking for an ambitious person to pursue a PhD in participatory design of interactive wearables with a background in medical engineering, human-computer interaction or interaction design.

The project aims to co-design interactive wearable technologies for enhancing physical activity among older adults to improve the long-term user engagement. Aim is to explore age-specific affordances in the use of wearable technologies for increasing physical activity, and apply participatory design methods for developing novel interaction modalities that help the users to synchronize their steps with their heartbeat. The project conducts an interventional study in the everyday life of older adults to investigate the longer-term impacts of the interactive wearable technology on activity levels, quality of life and self-efficacy.

Deadline :08.Mar.2024

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(15) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in acoustofluidics applied to protein crystallography

The aim of the research project is to develop methods and design a device for acoustic focusing of protein crystals that can be integrated with state-of-the-art nozzles for serial crystallography. The position includes following tasks: development of microfluidic chips, ultrasonic transducers, acoustic cells, flow regulation, and integration of this hardware in existing 3D-printed nozzles for serial crystallography as well as existing microscopes for 2D-imaging of protein crystals. The project also includes participation in crystallography experiments at large-scale x-ray infrastructure (synchrotron, free-electron laser), which requires sample preparation of crystals in advance as well as subsequent data analysis. Work will be performed at the division of Biomedical and X-ray Physics (AlbaNova University Center) in close collaboration with the division of Biophysics (Science for Life Laboratory), both belonging to the department of Applied Physics at KTH. The project also requires frequent traveling to large-scale infrastructure and collaborators in Lund and Hamburg. We are looking for a PhD student that can work on the project long term and actively maintain the collaborations with MAX IV (Lund) and CFEL (Hamburg). A suitable background is a MSc degree with experimental work in applied physics, biophysics, microsystems or similar research areas. The position is fully financed for 4 years by VR RÅC. 

Deadline :07.Mar.2024

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(16) PhD Degree – Fully Funded

PhD position summary/title: PhD candidate in circular business models and circular supply chains in the Swedish process industry

The Swedish process industry has a long history of transformation and is at the forefront of transitioning towards a sustainable future. The notion of the circular economy although recently discussed as novel although some key components such as recycling has been common in the Swedish process industry. Thus, there are both new and old friends in the transition towards the circular economy. Through a generous grant from Marianne and Marcus foundation ( MMW 2023.0056) the aim of this doctorial project is to analyse to what extent the Circular economy has taken root in the Swedish process industries. 

Deadline : 07.Mar.2024

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(17) PhD Degree – Fully Funded

PhD position summary/title:  Doctoral student in underwater robotics, machine learning and navigation

KTH Electrical Engineering and Computer Science (EECS) announces a PhD position in the area of machine learning for underwater robot perception at the department of  Robotics, Perception and Learning (RPL) This position is part of the continuation of the Swedish Maritime Robotics Centre (SMaRC) as a new centre SMaRC2.0 starting in 2024. 

The student will join the team working in the Swedish Marine Robotics Centre, SMaRC. A complete robotic system is planned. The specific goal is to use machine learning to fuse sonar and other sensor data collected from multiple autonomous underwater vehicles (AUV) to build representations of the seafloor that will allow the detection of changes to be autonomously reacted to. We have already begun this by collecting much data and applying deep learning to it.  We expect that a novel approach based on both the physics of the sonar and variational inference can yield latent space representations that will go well beyond the current state of the art. 

Deadline : 05.Mar.2024

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(18) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student, modelling of safety-critical autonomous system-of-systems

School of Electrical Engineering and Computer Science invites applications for one doctoral student position in the area of integrated development and verification of safety-critical autonomous systems-of-systems. The goal of the project is to develop a model-based integrated framework that supports multi-view analysis of the behavior of autonomous systems-of-systems. It should integrate formal modelling, verification, simulation and machine learning to specify and analyse the requirements and architectures of complex autonomous systems.  Our goal is to augment formal languages with capabilities to model behavior of AI-enabled systems and provide support for the simulation-in-the-loop modelling. We will also study how different aspects of self-adaptive behavior can be formalised to specify and verify the safety-enforcing architecture of autonomous systems. Finally, we will experiment with enhancing AI by formal specifications.

We aim at building a digital twin that would allow us to study different scenarios using simulation, analyse various architectural solutions and verify their properties as well as create safety monitors and decision-making components allowing the system to learn safe behavior and adapt at run-time.

Deadline : 01.Mar.2024

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(19) PhD Degree – Fully Funded

PhD position summary/title: Ph.D student in Human-Computer Interaction specialized in Extended Reality

Extended Reality (XR) is poised to introduce new ways of interacting with people, education, entertainment, and training by employing new technological solutions. Apple recently introduced one example of XR technology described as a “spatial computer,” where digital media is integrated with the real world and physical inputs (e.g. gestures), can interact with the system. Yet, existing XR experiences and solutions are limited to individual, indoor, visual, and auditory perceptions, neglecting social context, haptic experiences, and the outdoor environment.

The Ph.D. candidate will create diverse XR experiences and evaluate them with users in controlled experiments to better understand their multisensory capabilities. By exposing them to various XR environments under different social (single vs. multi-user), perceptual (no haptic vs. haptic), and environmental (indoor vs. outdoor) conditions, the Ph.D. candidate will create a starting point for deep reflections in group workshops on how we interact with XR technology, how multisensory XR experiences affect our perception, and what ethical considerations should be followed to create experiences to include multiple user interaction.

Deadline : 29.Feb.2024

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(20) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in data science

We are looking for highly-qualified and motivated individuals to pursue a PhD in the area of data science. The prospect PhD students will join a research team in KTH led by Professor Aristides Gionis. The research team focuses on developing novel methods to extract knowledge from data, modeling large-scale complex systems, and exploring new application areas in data science. Areas of interest include but are not limited to models and algorithms for knowledge discovery, novel algorithmic and statistical techniques for big data management, optimization for machine learning, analysis of information and social networks, fairness, accountability, and transparency in learning systems.

The advertised positions are funded by Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. 

Deadline : 29.Feb.2024

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(21) PhD Degree – Fully Funded

PhD position summary/title: Ph.D. In balancing of renewable energy dominated power systems

In addition to the fact that electricity production from wind and solar is expected to increase significantly in Sweden over the next few decades, the use of batteries, hydrogen and electric vehicles will also increase significantly, which together with the digitization of measurement and control systems provides new opportunities to balance the electricity system. In a power system, a continuous balance is maintained between production and consumption, in the Nordic power system this is currently managed mainly with hydropower. With large amounts of wind and solar power, maintaining this balance becomes a challenge. The entire system becomes more volatile with completely different conditions depending on the operating situation. Even in this future system, the continuous balance must be maintained. The purpose of this project is to study how the balancing, under the new conditions, can take place as rationally as possible regarding both technical and the choice of appropriate economic control signals. The actual solution will vary between different hours in a future system. The project is part of a larger national research project, with many collaborative partners.

Deadline : 29.Feb.2024

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(22) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in parameter identification solutions for electric drives

This project is fully financed by our industrial partner ABB, which has priority in its intellectual property rights.

Motion accuracy requires fine-tuned regulators, which rely on a real-time-updated knowledge of the mechanical system. Moreover, as computational capabilities grow, electric drives can incorporate functionalities to improve health condition monitoring of the whole powertrain.

The project aims to define a commissioning and real-time identification procedure for the mechanical system without assumptions on its rank, and explore functionalities for condition monitoring of mechanical systems. The findings will be implemented and benchmarked on ABB industrial drives.

Deadline : 29.Feb.2024

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(23) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Human-AI interaction for autonomous vehicles

Autonomous transportation poses a host of human-machine interaction challenges, both from the perspectives of passengers, pedestrians, fleet managers. This doctoral project will unfold in the emerging field of human-AI interaction where there are a host of challenges emerging from the very theoretical foundations of Human-Computer Interaction and AI respectively. The position is funded by the highly successful initiative “StandUp for Energy”, a multi-disciplinary environment where we at Human-Centred Technologies focus on user interfaces for Electric vehicles, which we expect to be fully autonomous in the medium term.

Possible research topics include, but are not limited to: interaction between vulnerable road users and autonomous electric vehicles,  external human-machine interfaces for autonomous vehicles, control tower operator interfaces for fleets of autonomous vehicles, interaction between drivers of non-autonomous vehicles of all types and autonomous vehicles, etc.

Deadline :29.Feb.2024

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(24) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in in Polymeric Materials in Nuclear Power Plants

The overall goal of this project is to develop a safer method for life estimation (and remaining life) and classification of polymeric components in nuclear power applications. The consequence of “premature” failing seals and cables etc. in a nuclear power plant can have very serious consequences, and safer lifetime estimates (extrapolation from accelerated tests) are therefore central to safety. The goal is therefore to develop a “general” method/methodology for lifetime estimation that mimics reality significantly better than today’s methods, and thus is safer and has better precision. The project involves ageing methods, such as gamma irradiation, and a number of characterisation tools of polymeric materials, e.g. IR spectroscopy, electron microscopy and mechanical testing. 

A goal in this project is also to involve several parties in the project. We will have a close collaboration with Vattenfall, OKG and Westinghouse, and the intention is also to collaborate with VTT in Finland the BAM institute in Berlin.

Deadline : 29.Feb.2024

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(25) PhD Degree – Fully Funded

PhD position summary/title:  Doctoral students in communication-aware control for multi-agent systems

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.

The project involves distributed task planning and control for multi-agent systems. We will consider the case of discrepancies between the communication network topology and the induced dependencies between agents stemming from the assigned task. Multi-agent tasks will be given in the form of formal verification languages such as Temporal Logic and its variants.  The position will involve multi-agent planning and control, formal methods, and communication awareness with an emphasis on the discrepancies between communication possibilities and task requirements. The doctoral student will develop novel algorithms for distributed multi-agent planning and control under complex tasks that account for such discrepancies.

Deadline : 29.Feb.2024

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(26) PhD Degree – Fully Funded

PhD position summary/title:  PhD student in interoperability in power-electronics dominated power grids

You will be part of the power electronics research group within the school of electrical engineering and computer science at KTH. The group does research in several fields, notably high-power electronics for power grids, and wide-bandgap power semiconductors.

The traditional electric power grid is dominated by passive components such as synchronous generators, circuit breakers, and transformers. This worked well with traditional primary energy sources like coal, gas, and nuclear power, which connect to the grid through these large synchronous generators and can be located close to population centers. The future electric power grid will be power-electronics dominated. This is needed to massively connect renewable energy sources (wind and solar power e.g.) as well as energy storage and transmission assets such as high-voltage direct current (HVDC). Grid-connected converters take over the role of the traditional grid control components such as synchronous generators.

Deadline : 28.Feb.2024

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(27) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Incentive-driven Control, Optimization and Learning

Third-cycle subject: Applied and Computational Mathematics

With the increasing integration of intelligent systems in human life, it’s urgent to investigate control, optimization, and learning systems coupling with strategic/human agents. Examples of such systems range from transportation systems to human-robot teaming, smart grids, and federated learning. In these mixed-autonomy systems, the human agents, rational and self-interest, actively participate in and significantly influence the operations and dynamics of the systems. To ensure the accuracy and efficiency of these systems, it needs an incentive-driven scheme to motivate and regulate the strategic agents, such that they behave in a voluntary, authentic, and non-malicious way. This doctoral project will target this challenge by studying games and mechanism design in control, optimization, and data exchange among a network of strategic agents. The project will span theory, algorithms, as well as applications in the related fields.

The doctoral student will be actively involved in and access to the resources of the Wallenberg AI, Autonomous Systems and Software Program (WASP).

Deadline : 28.Feb.2024

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(28) PhD Degree – Fully Funded

PhD position summary/title:  Doctoral student in the joint KTH-KI PhD program in Medical Technology

Welcome to join this collaborative and interdisciplinary PhD project. The lab of Prof Jeanette Hellgren Kotaleski at Dept Computational Science and Technology at the School of Electrical Engineering and Computer Science, KTH, together with the labs of Prof Gilad Silberberg and Prof Sten Grillner at the neuroscience department at KI will together co-supervise the whole PhD project. In particular, biophysically detailed in silico models of basal ganglia nuclei will be co-developed in close interactions between all the three labs. Development of specifically the model building and analysis tools will mainly take place in collaboration with the KTH group, while the collection and interpretation of crucial experimental data needed for the modeling work will take place in interactions with the KI labs.

The KTH and KI labs involved in this PhD project have over the years developed new knowledge about the basal ganglia using both in vitro and in vivo experimentations, as well as used modeling and simulations to integrate and interpret experimental data and knowledge and to come up with new hypotheses and predictions. Especially, over the last few years the first framework for full scale simulations of basal ganglia structures has been developed.

Deadline : 28.Feb.2024

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About KTH Royal Institute of Technology, Stockholm, Sweden – Official Website

KTH Royal Institute of Technology, abbreviated KTH, is a public research university in Stockholm, Sweden. KTH conducts research and education within engineering and technology, and is Sweden’s largest technical university. Currently, KTH consists of five schools with four campuses in and around Stockholm.

KTH was established in 1827 as Teknologiska Institutet (Institute of Technology), and had its roots in Mekaniska skolan (School of Mechanics) that was established in 1798 in Stockholm. But the origin of KTH dates back to the predecessor to Mekaniska skolan, the Laboratorium Mechanicum, which was established in 1697 by Swedish scientist and innovator Christopher Polhem. Laboratorium Mechanicum combined education technology, a laboratory and an exhibition space for innovations. In 1877 KTH received its current name, Kungliga Tekniska högskolan (KTH Royal Institute of Technology). The King of Sweden Carl XVI Gustaf is the High Protector of KTH.

KTH is the highest ranked technical university in Sweden. It is ranked top 100 in the world among all universities in the 2020 QS World University Rankings.

 

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