Best 29 PhD Degree Fully Funded at KTH Royal Institute of Technology, Stockholm, Sweden

Online applications are being accepted for a variety of fully funded PhD degrees in several departments at KTH Royal Institute of Technology in Stockholm, Sweden. Here is a list of all the PhD programs at KTH Royal Institute of Technology in Stockholm, Sweden, that are fully funded.

A candidate who qualifies may apply as soon as feasible.

(01) PhD Degree – Fully Funded

PhD candidate studying interoperability in power grids dominated by electronics

PhD Position Summary/Title: You will be affiliated with the KTH School of Electrical Engineering and Computer Science’s Power Electronics Research Group. The group does research on wide-bandgap power semiconductors and high-power electronics for power grids, among other areas.

The passive parts of the old electric power grid, such as transformers, circuit breakers, and synchronous generators, are mostly in charge. This was effective with conventional primary energy sources, such as coal, gas, and nuclear power, which may be found near major cities and are connected to the grid through these massive synchronous generators.

Power electronics will dominate the future electrical grid. This is required to link renewable energy sources—like solar and wind power—as well as energy storage on a large scale.

(02) PhD Degree – Fully Funded

PhD candidate in systems theory and optimization in applied mathematics

PhD Position Summary/Title: We will create theory, techniques, and applications for optimal transport problems in this project. Historically, the field of optimal transport was primarily applied in economics and logistics, but it has recently expanded to include many other application areas, including multi-agent systems, machine learning, probability theory, and imaging.

This is due to recent advances in algorithms and increased computational power. A family of generalized optimal transport problems known as multi-marginal optimal transport problems will be examined in this study.

These problems have proven to be very helpful in the formulation of sensor fusion problems and the modelling of evolutions or flow in particle systems. We will create novel mathematical findings, computational algorithms, and theoretical frameworks by applying techniques and theories from optimization, systems theory, and functional analysis.

(03) PhD Degree – Fully Funded

PhD Position Summary/Title: pursuing a doctorate in quantum Skyrmionics

Quantum materials are one of the scientific fields in which the Materials & Nano Physics Division conducts fundamental and practical research.

The PhD candidate will be employed by the Quantum Technology & Materials group, which is focused on characterizing and developing quantum materials, magnetic topological quasiparticles, and superconductors.

Large-scale facilities and internal laboratories are used for conducting various investigations. A productive relationship of cooperation with theorists has also been developed over time.

(04) PhD Degree – Fully Funded

PhD Position Summary/Title: In computational cognitive neuroscience, doctoral candidate

This job presents a rare chance to take advantage of the synergy between computational and experimental methods to address important issues regarding human cognitive capacities.

The successful applicant will specifically benefit from the dynamic interdisciplinary environment maintained by a strategic partnership between the Computational Brain Science lab, the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology, and the Division of Psychology at the Department of Clinical Neuroscience, Karolinska Institute.

(05) PhD Degree – Fully Funded

PhD Position Summary/Title: 5 doctoral students are currently pursuing their studies in Sustainable Materials Engineering.

Green Steel for a Fossil-free Future is a Swedish and EU-funded initiative aiming to transform the Swedish steel industry by promoting advanced theory, models, and practical knowledge, enabling the production of advanced, materials-engineered products without fossil fuel use, avoiding waste, and using recycled and sustainably sourced materials.

(06) PhD Degree – Fully Funded

PhD Position Summary/Title: A doctoral student pursuing a career in brain-like computing.

The project aims to develop brain-like neural network architectures and biologically inspired learning for semi-supervised and unsupervised learning problems.

It involves studying literature, designing and simulating neural network models, analyzing results, and benchmarking brain-like architectures against conventional machine learning approaches.

The research is part of the EU project EXTRA-BRAIN Explainable Trustworthy AI for Data-Intensive Applications, involving academic institutions and companies. Participation in discussions, meetings, and technical reports is encouraged.

(07) PhD Degree – Fully Funded

PhD Position Summary/Title: A doctoral student specializing in incentive-driven control, optimization, and learning.

The integration of intelligent systems in human life necessitates an investigation into control, optimization, and learning systems that integrate with strategic/human agents. These systems, including transportation systems, human-robot teaming, smart grids, and federated learning, require an incentive-driven scheme to ensure accuracy and efficiency.

This doctoral project aims to address this challenge by studying games and mechanism design in control, optimization, and data exchange among strategic agents. The project will span theory, algorithms, and applications in related fields, aiming to motivate and regulate strategic agents in a voluntary, authentic, and non-malicious manner.

(08) PhD Degree – Fully Funded

PhD Position Summary/Title: The PhD focuses on the study of voltage control interactions in active distribution networks.

The PhD student will collaborate with the KTH Division of Electric Power and Energy Systems, the KTH Division of Decision and Control Systems, Uppsala University, Division of Systems and Control, and the Electric Power System unit from RISE Research Institutes of Sweden, with a reference group including experts from Swedish electric power industry, including Svenska Kraftnät, Ellevio, Vattenfall, Hitachi Energy Sweden, and DLaboratory Sweden.

(09) PhD Degree – Fully Funded

PhD Position Summary/Title: A doctoral student specializing in applied and computational mathematics.

The Royal Institute of Technology is seeking applications for a Ph.D student position in Applied and Computational Mathematics. The project focuses on fast numerical methods for wave propagation problems, a fundamental problem in various fields like electromagnetics, acoustics, optics, and seismology.

The project will primarily consider iterative methods in the frequency domain, modelled by the Helmholtz equation. The main goals are to develop algorithms that converge faster, obtain a better theoretical understanding of the convergence rate, and apply these methods in applications. The project aims to leverage high-performance computers for solving larger problems.

(10) PhD Degree – Fully Funded

PhD Position Summary/Title: A doctoral student is pursuing a degree in modelling modular pod-based rail and road transportation.

A PhD student is sought to develop traffic simulation models for future POD-based traffic systems. The project aims to contribute to knowledge in Sweden and Europe on automated, modular, and multimodal POD-based mobility systems, combining planned and flexible on-demand systems.

(11) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student in AI Machine Learning in Ship Hydrodynamics

The project aims to integrate AI ML methodologies in ship hydrodynamics, developing a digital ship design process, a geometry modification process for ship hull form design, and a basic decision support system for ship hydrodynamic design.

The project aims to enhance efficiency and accuracy in ship design, contributing to more sustainable and technologically advanced vessels in the maritime industry. By pushing the boundaries of ship hydrodynamics and leveraging machine learning, the project aims to improve ship design practices and contribute to the maritime industry.

(12) PhD Degree – Fully Funded

PhD Position Summary/Title: A doctoral student is pursuing a research project on future ship design for decarbonization.

The project aims to develop a Digital Twin (DT) for ship design and operational optimization, providing an open virtual testbed for future ship design for decarbonization. The DT architecture and application framework will be developed for various ship types, with wind-assisted propulsion ships as the validation and verification test case.

The project will explore DT applications in sustainable and digital ship design, develop DT for wind-assisted propulsion ships, and implement the DT to analyze decarbonization technologies’ impact on sails.

(13) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student pursuing a career in machine learning, specializing in non-Newtonian turbulence.

The project aims to use machine learning to create wall models in non-Newtonian flows, achieving high Reynolds number accuracy and reduced computational cost. Deep reinforcement learning will be used to produce consistent models with flow and numeric.

The model will be used for simulations of viscoelastic flow in complex scenarios. Researchers will access multi-peta scale supercomputing facilities at KTH and join the FLOW research environment, collaborating with the Swedish e-Science Research Centre.

(14) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student specializing in optimization and learning in edge computing.

The Division of Network and Systems Engineering is seeking a doctoral student with a strong background in system modelling, optimization, and machine learning to join a project focusing on developing resilient algorithms for distributed network infrastructure optimization. The focus will be on algorithms with machine learning components, within the TECoSA competence center at KTH.

(15) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student pursuing a career in Neuromorphic Computing in the IoT-Edge-Cloud Continuum.

Brain-inspired systems, or neuromorphic systems, combine computer science, hardware design, and neuroscience to create energy-efficient computer systems that mimic the human brain.

These systems are used in brain simulation, machine learning, artificial intelligence, and optimization problems. A PhD student is needed to work on an EU project called EXTRA-BRAIN, where neuromorphic systems and spiking neural networks will be used to solve problems in the IoT-Edge-Cloud continuum.

(16) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student in Polymer Technology

A PhD student is sought to tackle the significant plastic challenges, including the use of renewable resources, greener synthesis methodologies, and chemical and mechanical recycling. Plastics are essential for sustainable development but hurt the environment due to depleting resources and large volumes of waste.

The project aims to combine building blocks from chemically recycled plastic waste with renewable resources to design a new type of recyclable insulation foam for circularity. This will enable efficient material recycling at the end of life and yield products with necessary properties during use.

The focus is on circular insulating foams, as energy usage is often the largest contributor to greenhouse gas emissions, and efficient thermal insulation contributes economically, socially, and environmentally to sustainability.

(17) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student specializing in underwater robotics, machine learning, and navigation.

KTH Electrical Engineering and Computer Science (EECS) has announced a PhD position in machine learning for underwater robot perception at the Robotics, Perception and Learning (RPL) department.

The position is part of the Swedish Maritime Robotics Centre’s SMaRC2.0, which will be established in 2024. The goal is to use machine learning to fuse sonar and sensor data from autonomous underwater vehicles (AUV) to create seafloor representations that enable autonomous detection of changes.

The research aims to develop latent space representations that surpass current state-of-the-art using a novel approach based on sonar physics and variational inference.

(18) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student pursuing a degree in norm-critical design of smart homes.

The project explores the future electricity system’s flexibility through increased automation of homes. It examines goal conflicts between ecological and social sustainability, focusing on the gap between technical efficiency and issues like equality, democracy, power, and trust.

The analysis is conducted from an intersectional perspective, revealing societal structures that may hinder a democratic future electricity network. The project collaborates with private and civil society actors to implement its results.

(19) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral students are focusing on secure networked control systems.

The Division of Decision and Control Systems and the Division of Network and Systems Engineering are seeking two doctoral students with strong control systems, mathematics, Bayesian inference, and modelling backgrounds to join a project focusing on developing tools for understanding and designing secure networked control systems.

The project will develop quantitative risk analysis tools and algorithms for detecting cyber-physical attacks within a new WASP project.

(20) PhD Degree – Fully Funded

PhD Position Summary/Title: A doctoral student is pursuing research on the transition from blackwater to platform chemicals.

The PhD project aims to create a sustainable biobased production platform using microbial communities from municipal wastewater. It involves bioprocess design, synthetic culture design, and -omics analysis.

The student will contribute to experimental design, communicate with the KTH scientific team, and provide information for the general audience. They will also co-supervise MSc students and teach.

(21) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student is focusing on the development of lignin-based carbon materials for metallurgy.

The PhD project aims to combine Sweden’s metallurgical and pulp and paper industries, focusing on the use of carbon in furnace electrodes, lining pastes, and refractories. Carbon, mainly from fossil sources, must be replaced with renewable alternatives.

Lignin from a kraft pulp mill is a promising alternative due to its high carbon content and availability. It can function as an aggregate and binder for bio-carbon furnace electrodes, demonstrating its potential in reducing carbon emissions.

(22) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student specialising in electrochemical modelling of batteries.

Battery packs are increasingly crucial for primary energy storage in vehicles, but they suffer from inhomogeneous ageing due to the uneven load of individual cells. This results in differences in charge and long-term health, and it’s difficult to estimate the internal states of individual cells.

A possible solution is to split the battery pack into smaller modules that can be individually connected or disconnected. This offers new possibilities for driving the system to advantageous operating points and increases the ability to accurately estimate system states.

However, this topology also increases the system’s complexity, necessitating the development of novel control strategies to fully utilize the modular battery system.

(23) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student in chemical engineering is researching the recycling of permanent magnets.

The doctoral project aims to develop green and efficient methods for separating and recovering rare earth elements from spent permanent magnets and production waste.

The core method involves selective leaching by deep eutectic solvents followed by controlled precipitation of metal salts for further processing.

Key aspects include identifying potential solvent systems, studying metal separation efficiency, and regenerating the solvent for a closed-loop process. The project is financed by Formas.

(24) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student pursuing a degree in Industrial Economics and Management.

The doctoral project aims to develop strategies to reduce insured losses in residential properties, enhancing resilience and helping Stockholm adapt to climate change.

Collaborating with the City of Stockholm and municipal companies, the project uses detailed insurance and administrative data to identify patterns in loss prevention investments and plans to implement these strategies.

(25) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral students pursuing a degree in Nuclear Power Safety.

Two doctoral students are being sought to research severe accidents in small modular reactors and natural circulations in advanced water and lead-cooled nuclear reactors.

The projects are supported by funds from the Radiation Safety Authority and the Swedish Energy Agency. The successful candidate will develop numerical models for severe accidents in small modular reactors and perform risk analyses.

They will also develop models for natural circulations in advanced reactors. The projects will use U.S. NRC simulation codes for thermal-hydraulics and severe accidents.

(26) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student in the chemistry of severe reactor accidents

The Swedish Centre for Nuclear Technology (SKC) is funding a project to study the kinetics and mechanism of radionuclide release from synthetic corium, a material used in nuclear accidents like Chornobyl and Fukushima.

The project aims to develop a predictive model describing the kinetics of radionuclide release from Corium in contact with water. The research will explore the impact of aqueous phase composition, ionizing radiation, and temperature, to improve accident site safety. Experienced individuals with a strong background in physical chemistry are encouraged to participate.

(27) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student in Bioelectronics.

A doctoral study at KTH’s Division of Electronics and Embedded Systems is being conducted in collaboration with the Department of Women’s and Children’s Health at Karolinska Institute.

The research aims to develop biosensors for monitoring fetal hypoxia during birth, focusing on sensing technologies, experimental proof-of-concept, and electronics development using ultra-low power analogue and mixed-signal circuits.

(28) PhD Degree – Fully Funded

PhD Position Summary/Title: Doctoral student in Computer Science specializing in heterogeneous parallel computing.

A full-time doctoral student position in Computer Science with a high-performance computing specialization is open for highly motivated candidates.

ScaLab focuses on designing and optimizing algorithms, systems software, and architecture to enhance large-scale parallel computing scalability. Doctoral students will work in a diverse research group, interacting with leading European and American research groups.

(28) PhD Degree – Fully Funded

PhD Position Summary/Title: Ph.D. student pursuing a focus on Human-Computer Interaction for Environmental Stewardship.

The project aims to address the challenges of designing digital systems for sustainable waste practices by providing scientific knowledge and practical expertise. It will consider regulatory aspects early on, aligning law-mandated values with specific design features and considering stakeholder concerns.

The project will examine how existing policy and governance shape digital innovation for sustainable practices and challenge existing regulations. It will deliver empirical evidence and a design methodology to proactively understand how environmental responsibility in waste management works within the law, ensuring that new digital technologies are designed to work holistically with stakeholders in waste management and environmental protection.

Details of KTH Royal Institute of Technology, Stockholm, Sweden

KTH Royal Institute of Technology (KTH) is a public research university in Stockholm, Sweden, specializing in engineering and technology research and education. Established in 1827 as Teknologiska Institutet, it has five schools and four campuses.

Its origins can be traced back to the Laboratorium Mechanicum, established in 1697 by Christopher Polhem. KTH’s current name, Kungliga Tekniska högskolan, was adopted in 1877. The King of Sweden, Carl XVI Gustaf, is its High Protector. KTH is the highest-ranked technical university in Sweden and ranks top 100 globally in the 2020 QS World University Rankings.

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