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 Machine Learning for Reliable Quantum Computing
This doctoral project, funded within the Wallenberg AI, Autonomous Systems and Software Program (WASP), focuses on developing machine learning methods for reliable quantum computing. The project treats quantum noise and quantum error mitigation as problems in physics-informed, structured machine learning, with particular emphasis on learning error processes from limited, noisy measurement data. The overall goal is to develop scalable and robust models that improve the reliability of quantum algorithms in cryptography, optimization, and quantum chemistry. The work will be carried out at KTH’s Department of Computational Science and Technology in an international research environment and in close interaction with the WASP Graduate School. We are looking for candidates with a strong background in computer science, quantum computing, machine learning, engineering physics, or a related field.
Deadline : 08.Jun.2026
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Power Electronics, focusing on modular GaN power converters
The introduction of new semiconductor materials, such as Gallium Nitride (GaN), opens new possibilities in power electronics allowing for reduced losses and increased switching frequency. GaN power semiconductors are already successfully used in low-power applications. In your research you will focus on combining these into modular converter structures, which will allow for compact and very efficient drive systems for high power applications, such as electric trucks and buses. You will work in a very dynamic team of researchers active in power electronics in a wide sense, including topologies, design, reliability, and control aspects. You will also be part of a large European research project in power electronics – Moore4Power — which offers you great possibilities to start building your professional network.
Deadline : 31.May.2026
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Molecular Programming
This PhD project develops new methods to recover spatial organization in tissues from single-cell RNA sequencing data using graph theory and machine learning. The work focuses on algorithm development and large-scale data analysis. You will be based in the Molecular Programming group at KTH/SciLifeLab, working with leading groups in single-cell genomics, spatial biology, and machine learning. The position is for candidates with a background in computation, applied mathematics, or related fields.
The position is part of the research school within DDLS (Data Driven Life Science). Data-driven life science (DDLS) uses data, computational methods and AI/ML to study biological systems and processes, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion SEK over 12 years from the Knut and Alice Wallenberg (KAW) Foundation
Deadline : 21.May.2026
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in condensed matter theory
The project will mainly focus on quantum many-body physics in the field condensed matter physics. It will involve theoretical investigation of quantum systems both in and out of equilibrium. The group’s current main research interests include quantum chaos, quantum thermalization, disordered systems, nonequilibrium dynamics, and superconductivity.
Deadline : 21.May.2026
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Large Language Model inferencing
The advertised doctoral student position are within an ambitious, 5-year Wallenberg Scholar project titled “Scalable and adaptive inferencing for democratizing AI”. In this 18 Million SEK project, we want to dramatically reduce the cost and power for serving large language models such as ChatGPT.
The project page, with our early publications, is available at: More project information and information on the project page with our early publications.
The work will primarily entail design, implementation, and evaluation of distributed systems and networks for machine learning inference. Applying machine learning concepts, with the goal of devising agentic frameworks, will also be a part of the project.
Deadline :17.May.2026
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in physics of fluids and electrification
The Department of Engineering Mechanics pursues basic and applied research in biomechanics, composite mechanics, fluid mechanics, contact mechanics, fracture mechanics and fatigue, material mechanics, and paper mechanics. FLOW is a strong community of researchers engaged in fundamental and applied research in fluid mechanics within the department.
We are currently seeking a PhD student in fluid mechanics to join the Fluid and Surface Group within FLOW. This position offers an exciting opportunity for talented and motivated researchers to contribute to a cutting-edge research project. The project uses computational fluid mechanics and turbulence modeling to build a physical understanding of the electrokinetic phenomenon called streaming electrification, which can occur through charge separation at a solid-liquid interface due to the flow movement of the liquid. The magnitude of the streaming current depends on the turbulent intensity. To eliminate the risk of streaming electrification affecting high voltage insulation performance in power transformers, a design limit is set on the flow velocity of the coolant. The results from this PhD project will facilitate the transition to sustainable materials and innovative design solutions for critical components of the electric power grid.
Deadline : 15.May.2026
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in perception for dynamic scene understaning
This project addresses generalizable 3D dynamic scene understanding for autonomous systems, with a focus on scene flow estimation. A key challenge is that current methods fail to generalize across different sensor configurations and environments, and treat motion estimation as an isolated geometric task disconnected from downstream safety requirements. The goal is to develop a self-supervised, multi-modal model that fuses LiDAR geometry and camera semantics to learn motion representations that generalize zero-shot to unseen real-world scenarios, and are directly aligned with the safety and efficiency needs of autonomous planning that going beyond standard geometric metrics. The starting point for the project is our state of the art work on self-supervised scene flow (https://github.com/KTH-RPL/OpenSceneFlow). The position is at the department of Robotics, Perception and Learning and is funded by Wallenberg AI, Autonomous Systems and Software Program (WASP), https://wasp-sweden.org/. The student will be connected to the graduate school within WASP: https://wasp-sweden.org/graduate-school/.
Deadline : 15.May.2026
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in three-dimensional spatial omics
The project aims to develop methods in three-dimensional spatial omics. To achieve this, the doctoral student will use and develop both computational and laboratory-based tools. The doctoral student will need a background that includes experience with both some programming and some wet-lab work. The doctoral position is part of the research school within DDLS (Data Driven Life Science). The doctoral student will primarily work together with their main and co-supervisors, as well as with other doctoral students and postdocs in the supervisors’ lab.
Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion SEK over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.
In 2026 the DDLS Research School will be expanded with the recruitment of 25 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection.
Deadline : 14.May.2026
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in deep learning for mass spectrometry data
The project aims to develop probabilistic deep learning models to improve the interpretation and matching of mass spectrometry data, a field in which Sweden holds a leading global position. To this end, the doctoral student will use and develop computational tools, and a good understanding of proteomics data will be important for interpreting results. The position is part of the DDLS (Data-Driven Life Science) Research School. The doctoral student will primarily work together with their supervisors, as well as with other doctoral students and postdocs in the supervisors’ groups.
Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion SEK over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.
In 2026 the DDLS Research School will be expanded with the recruitment of 25 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection.
Deadline : 13.May.2026
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Spatial Perception and Navigation in Built Environments
The Group of Navigation and Perception at KTH Royal Institute of Technology is seeking a highly motivated doctoral student with a strong background and interest in spatial AI, navigation, sensor fusion, optimal estimation, and machine learning. Our research focuses on advancing next-generation spatial intelligence technologies for complex built environments and developing intelligent solutions to support a smart, sustainable, and resilient society.
Awareness of location and environmental context is crucial for applications such as location-based services (LBS), well-being promotion, and AI-driven decision-making. This is particularly relevant in scenarios where personal smart devices (e.g., smartphones) or autonomous perception systems operate in challenging built environments, such as indoor spaces, urban areas, and even underground settings. However, achieving accurate and reliable positioning in such environments remains a significant challenge.
This PhD project aims to develop novel AI-driven methods for trustworthy positioning and environmental perception, with a particular focus on mobile devices with limited computational resources and power supply. The research will explore sensor fusion techniques, deep learning models, and optimization strategies to enhance location awareness and situational understanding in complex and dynamic environments.
Deadline : 13.May.2026
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Robot Learning for Manipulation
PhD students will work on robot learning for manipulation, exploring recent advances in Vision-Language-Action (VLA) models for tabletop manipulation tasks with a focus on using the whole-body motion to enhance perception and control for solving complex mobile manipulation tasks. We are seeking candidates with a strong background in robotics and machine learning, and demonstrated experience in two or more of the following areas: deep learning, reinforcement learning, robot perception, navigation or manipulation.
Deadline : 10.May.2026
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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.
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