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 Political Ecology (Sustainability Studies)
We are looking for an ambitious PhD student to analyze the political ecology of coastal urbanization by developing a qualitative case study on the labour and workers behind dredging and land reclamation in Singapore, an often invisiblized labour that nevertheless laid the foundation for this global city of finance and trade. The focus is on workers’ experiences, histories, migration, organization and everyday places. The project combines urban political ecology (UPE) and labour geography to understand how sediment, machinery and labor combine with industrial and financial capital to shape often unequal urbanization patterns. Employment at KTH’s Environmental Science Department with a 15-24 month stay in Singapore at the School of Social Science at Nanyang Technological University (NTU). You will join a supportive research team that studies the political ecology of dredging and land reclamation. Go here for more information about the PhD project.
Deadline : 26.Jun.2025
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Computer science
The advertised doctoral student position is for a WASP-funded fundamental research project titled “Deep Continual Learning with Imbalanced Data for Intelligent Systems.” The research aims to develop, but is not limited to, continual learning methods that leverage large-scale data in computer vision while effectively dealing with class data imbalances in a task-agnostic fashion.
Deadline : 26.Jun.2025
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Generative AI for life science data analysis
In this project, we will develop biology informed robust AI and generative AI methods that can use the abundant unlabeled and noisy data. We will focus on inference of gene regulatory networks (GRNs) from their noisy gene expression level data – a challenging inverse problem in biology. The project is challenging and part of Digital Futures Flagship project “Biology-informed Robust AI Methods for Inferring Complex Gene Regulatory Networks”. The PhD scholar will work independently and in collaboration with Prof. Erik Sonnhammer’s group at SciLife Lab and Assist. Prof. Martina Scolamiero’s group at KTH Mathematics department.
Deadline : 23.Jun.2025
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Material and Structural Mechanics
We are looking for a highly motivated PhD student to develop advanced models for predicting fatigue behavior in high-performance materials. The project focuses on modeling residual stresses and their relaxation under cyclic loading, with a strong connection to microstructure and manufacturing processes. The work combines finite element methods, crystal plasticity, material characterization, and probabilistic approaches to improve predictions of materials fatigue properties.
You will be part of an interdisciplinary team within the Center for Mechanics and Materials Design (MMD) Center for Mechanics and Materials Design | KTH, a collaboration between the Department of Materials Science and the Department of Engineering Mechanics at KTH. MMD is a research environment that integrates mechanics and materials science to drive the development of advanced materials through research and education. The center collaborates with several industrial partners, including Epiroc, Höganäs, Ovako, Sandvik, Sandvik Coromant, Scania, and SSAB, strengthening the link between academic research and industrial applications
Deadline : 18.Jun.2025
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in AI-native Edge Computing for 6G
6G networks are expected to deliver massive improvements in speed, responsiveness, and energy efficiency—and meeting these demands will require smart, distributed computing built directly into the network. This research project focuses on designing AI-native edge computing systems that can power the next generation of wireless infrastructure. We will explore how to combine heterogeneous computing platforms with distributed MIMO architectures to support both real-time AI workloads and traditional signal processing. The goal is to develop intelligent, scalable, and sustainable network nodes that can handle everything from user services to advanced coordination tasks. If you are excited by cutting-edge systems design, AI at the edge, optimization, and shaping future mobile networks, this is your chance to dive in. A strong focus will lie on the development of optimization algorithms that include machine learning components, and on cooperation with industrial partners and with the TECoSA competence center at KTH.
Deadline : 09.Jun.2025
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Solid Mechanics – Ageing mechanisms in batteries
We are looking for a doctoral student for the project “Multiscale modelling of ageing mechanisms in lithium-ion batteries”. Charge-discharge cycles of lithium-ion batteries induce swelling and shrinking of electrode materials, generating stresses, cracks, debonding and side reactions, causing capacity and performance loss. It aims to develop a multiscale computational-experimental framework coupling mechanical degradation and ageing across material and cell scales.
Research will be conducted with COMSOL, RISE and Volvo AB, integrating finite-element modelling and experimental validation. At KTH, the focus will be on developing physics-based models capturing mechanical degradation pathways and their influence on electrochemical performance. Experimental validation will be carried out at RISE using advanced dilatational testing, ageing studies under varied thermo-mechanical loading conditions, and post-mortem analyses.
Deadline : 08.Jun.2025
(07) PhD Degree – Fully Funded
PhD position summary/title: Ph.D in production engineering focusing additive manufacturing and AI
We invite applications for a PhD position in additive/hybrid manufacturing research with a focus on monitoring techniques for manufacturing optimisation and AI empowered analyses. The successful candidate will join a research team conducting cutting-edge research in additive manufacturing with the goal of helping the European manufacturing industry creating a more circular future through this focus. This research in addition will include development of hardware/software and upgrade of additive manufacturing machines to achieve optimal processing. AI empowered monitoring and computer programming will be an important part of the research aiming to optimise manufacturing with minimal defects, enabling high quality manufacturing, repair and remanufacturing to enable circularity in manufacturing. The candidate will therefore develop monitoring tools to facilitate and optimise the use of additive manufacturing, possibly in combination with conventional machining processes.
Deadline : 05.Jun.2025
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD in production engineering with focus on circular manufacturing systems
We invite applications for a PhD position in research on Circular Manufacturing Systems (CMS) with focus on modelling and simulation of production lines. The successful candidate will join a research team that is carrying state-of-the-art research aiming to help the European manufacturing industry transform its linear model into circular manufacturing model. This entails a fundamentally new approach to resources and their conservation, initiated at the conceptual design stage of products with a rigorous insight into the entire lifecycle of the products.
The candidate will mainly work on Horizon Europe-funded projects which aim to facilitate the implementation of a circular economy in manufacturing sector. The candidate will work on developing tools to ease the use of additive manufacturing techniques in combination with conventional processes to improve the circularity strategy: repairing, refurbishing, remanufacturing and recycling. The candidate will also contribute to nationally funded projects connected to the CMS research. The PhD student can also be involved in and contribute to teaching at the undergraduate and advanced levels.
Deadline :05.Jun.2025
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in ray tracing for calculating radar cross section
This position is within the Division of Electormagnetic Engineering and Fusion Science at KTH Royal Institute of Technology. The job is mostly aimed at supporting with a ray-tracing code in Python to simulate radar cross section. The selected candidate will attend and participate in meetings with the industry. The job also includes supporting with the activities in the Antenna Laboratory led by Prof. Oscar Quevedo-Teruel.
Deadline : 05.Jun.2025
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Computational Electromagnetics
We are looking for a doctoral student to work at the intersection of computational electromagnetics and high-performance computing. The student will contribute to the VR SEE-6GIA project by developing and implementing methods such as finite-difference time-domain, method of moments, and ray tracing on HPC platforms, including GPU systems and supercomputers using MPI and OpenMP.
Deadline : 05.Jun.2025
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Energy Management in European sport facilities
The Department of Energy Technology at KTH is seeking a motivated and curious PhD candidate to join a dynamic research group focused on energy management and the techno-economic analysis of energy systems in buildings and urban environments. Our work spans both education and research, with a strong emphasis on real-world impact and interdisciplinary collaboration.
As a PhD candidate, you will play an active role in our research community—contributing to ongoing projects and courses, while also having the opportunity to shape and develop new initiatives. You’ll be supported by an inclusive, collaborative team environment that values diverse perspectives and encourages innovation.
This particular PhD project is a unique partnership between KTH Energy Technology, AFRY (one of Sweden’s leading engineering and consulting companies), and a highly respected professional sports facility in Sweden. Together, we aim to improve the energy performance of sports facilities through field measurements, advanced modeling, and data-driven solutions.
Deadline : 05.Jun.2025
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD in Generative Modeling for Super Resolution of Brain Imaging
This project involves generative modeling to address missingness in mass spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality of MSI advances our understanding of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as flow matching.
Therefore, the doctoral student is primarily expected to be comfortable with using and developing new machine learning models, specifically generative ones, and publishing the results at top machine learning venues. The project involves collecting and curating a MSI benchmark in the first year targeted for NeurIPS 2026 to be then used as the test-bed for the developed ML techniques in subsequent publications. The student will join Azizpour’s group at KTH. The position is in collaboration with the CBH school, and Uppsala University. It is funded by the the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) and the student joins its research program.
Deadline : 05.Jun.2025
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Generative Modeling of Biomolecules
Cryo-EM is a method for reconstructing the 3D structure of a biological molecule using images from electron microscopes. However, the images obtained from the electron microscope are often plagued by high levels of noise, which is typically mitigated by using a large number of images, which in turn leads to high data collection costs.
This project proposes a new method for reconstructing 3D structures of molecules from cryo-EM images using generative models. The prospective student will join Azizpour’s group and develop novel generative models of biomolecules’ structures to be used, by other project members, as a prior in a Bayesian inference of the biomolecules’ dynamics in order to construct more reliable 3D structures. The results are expected to be published at top machine learning venues such as NeurIPS, ICML, and ICLR.
Deadline : 05.Jun.2025
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Construction Calculation
The Department of Real Estate and Construction Management is recruiting a doctoral student for a strategic research project in digitalization and sustainability.
The doctoral project, which is part of the postgraduate program Civil Engineering: Management, Economics and Law, focuses on the interaction between construction technology, construction materials, and construction economics and how this intersection is affected by issues around sustainability and digitalization. A main focus is on economic aspects and how digitalization enables the evaluation and development of new calculation models for the construction field.
Deadline : 05.Jun.2025
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in vascular biomechanics
Cardiovascular diseases account for more than 30% of deaths, which are often related to mechanical failure at the vascular tissue level. However, surprisingly little is known concerning the multi-scale biomechanical mechanisms that lead to the rupture of the affected biological tissue..
Within a consortium of engineers, scientists and clinicians we plan to explore (structure-mechanical) factors that determine tissue rupture and therefore classify the health-related risk of a diseased vessel segment. In vitro experimental characterization of pathological vascular tissue is combined with the development of computational models towards patient-specific risk assessment. Our efforts relate particularly to diseased carotids and aneurysmatic aortas.
All actions are implemented through a tight interaction of the solid and fluid biomechanics research groups at the Department of Engineering Mechanics at KTH Royal Institute of Technology and the Department of Vascular Surgery at Karolinska University Hospital and Institute. Our translational research effort builds upon long-lasting and well recognized research results as well as it complements synergistically with other activities in our groups, guaranteeing the efficiency of the action.
Deadline : 04.Jun.2025
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in Machine Learning for Automated Code Generation
We are seeking two fully funded doctoral students to join our WASP-funded project on “Automated Software Verification with Expert-Driven Reasoning”, focused on developing the next generation of AI-assisted programming tools, producing efficient, secure, and resilient software with limited or no human intervention. One of the two doctoral positions is reserved for the under-represented gender within WASP.
Deadline : 30.May.2025
(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Medical Bioinformatics and Cancer Research
We are seeking a motivated PhD student to join our lab at KTH/SciLifeLab in Stockholm, focusing on precision medicine and cancer progression.
The project explores the role of tumor-promoting inflammation in cancer progression through bioinformatics-driven, machine-learning and multi-omics analyses integrated with experimental data. Ideal candidates have a background in bioinformatics, computational cancer biology, or related fields with experience in cancer and data-driven research.
Deadline : 30.May.2025
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Experimental and Data-Driven Cancer Research
We are seeking a motivated PhD student to join our lab at KTH/SciLifeLab in Stockholm, focusing on precision medicine and cancer progression.
The candidate will combine experimental and computational approaches. The project will start with bioinformatics-driven analysis, followed by integration of data generated from experimental models. Over time, the work will increasingly focus on wet lab experiments using cancer cell lines, organoids, and animal models, including imaging and molecular analysis. The project is well-suited for candidates with a background in cancer biology and an interest in integrating experimental work with data analysis.
Deadline : 30.May.2025
(19) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in AI-based multimodal spatiotemporal imaging
Tomographic imaging techniques, like X-ray computed tomography (CT) and positron emission tomography (PET), aim to computationally recover the internal structure of an object from in-direct observations that are obtained by probing the object with a wave/particle from multiple known directions. The overall aim of this project is to develop theory/algorithms for image re-construction applicable to spatiotemporal and multimodal/multichannel tomographic imaging. This means addressing challenges arising when the intrinsic dynamic of the imaged object needs to be recovered during reconstruction (spatiotemporal imaging) and when the object is probed simultaneously with different waves/particles (multimodal/multichannel imaging).
Previous efforts in this field deal only with post-processing, i.e., they do not address the intrinsic ill-posedness of (multichannel) image reconstruction. Our approach will be based on coupling channels and modelling dynamics with physics informed deep generative models.
Deadline : 30.May.2025
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(20) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in numerical compressible fluid dynamics
The project focuses on developing robust, reliable, and efficient numerical methods for simulating extreme fluid conditions. Leveraging an established experimental facility based on electrically induced wire explosions, which generate pressures in the GPa range, this research emphasizes advanced computational modeling to accurately replicate and predict extreme states achievable with everyday laboratory resources. Integrating numerical techniques from high-voltage engineering, plasma physics, and compressible fluid dynamics, the project will computationally investigate the fundamental physical properties of imploding shock waves in liquids, optimize methods for focal energy concentration, and explore the behavior of matter under such extreme conditions.
Deadline : 30.May.2025
(21) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in cooperative transportation systems
The Division of Decision and Control Systems is currently looking for doctoral students with a strong background and interest in systems and control, or related fields of study. The project aims to achieve automatic cooperation, i.e. the ability to reason about cooperation, for heterogeneous vehicle and transportation systems. The project specifically targets automatic cooperation for transportation, focusing on highly automated vehicles, infrastructure, and cloud-based intelligent transportation systems. By integrating temporal logic, reachability analysis, and assume/guarantee contracts, the project seeks to address key challenges such as alignment of objectives, heterogeneity in agent capabilities, and developing robust cooperation logic.
Deadline : 29.May.2025
(22) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Metabolic engineering of Acetivibrio thermocellus for sustainable product formation
The overall purpose of this project is to develop Acetivibrio thermocellus as a next-generation robust microbial cell factory that can convert (ligno-)cellulose to sustainable fuels and chemicals with minimum pretreatment. The use of lignocellulose, instead of refined sugars, is preferred to expand (future) production volumes, improve cost-competitiveness and avoid competition with food. The project will apply state-of-the-art molecular biology techniques, genomics and proteomics combined with laboratory evolution and quantitative physiology in bioreactors to unlock the potential of A. thermocellus, including:
• Research strategies to achieve increased understanding of the metabolism of the obligately anaerobic thermophile A. thermocellus.
• Functional analysis of the central metabolism of A. thermocellus.
• Metabolic engineering of A. thermocellus for formation of new products.
Deadline : 29.May.2025
(23) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in optimization and machine learning
This research project aims to develop novel theory and methodology for machine learning and optimal decision-making in future networks and computing infrastructures. We will explore how machine learning algorithms and computing systems can be enhanced and re-imagined for unprecedented accuracy, efficiency, and scalability. The project combines fundamental theory development with practical software design.
The successful candidate will join a dynamic research team that works on fundamental theory, practical algorithms, and applications. We have a strong network of contacts in academia and industry that allows us to blend curiosity-driven research with meaningful collaborations, and to translate theoretical insights into real-world solutions.
Deadline : 29.May.2025
(24) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in Fault-Resistant PQC Digital Signatures Implementations
We are looking for two doctoral students to work on the project Fault-Resistant Software Implementations of Post-Quantum Digital Signatures, funded by Wallenberg AI, Autonomous Systems and Software Program (WASP)
At present, there are no effective methods for protecting cryptographic algorithms’ implementations from fault attacks, in which an adversary deliberately injects faults into cryptographic computations to extract sensitive information. This project aims to address this important open problem, with a particular focus on candidates in the ongoing NIST post-quantum cryptography (PQC) standardization process for additional PQC digital signature algorithms. We intend to take into account the impact of fault attacks on cryptographic implementation security both destructively (by devising new types of attacks) and constructively (by designing countermeasures). The overarching challenge is to create defense mechanisms that can withstand fault attacks as the adversary’s capabilities grow. By considering mathematical and electrical engineering problems together, the project is expected to create PQC digital signature implementations in which fault attack resistance is incorporated at the design stage rather than patched in later, when a vulnerability is discovered.
Deadline : 29.May.2025
(25) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Neuronics
This project aims at developing Finite Element (FE) models of infants and children to study head injury mechanisms, provide biomechanical evidence, and support forensic diagnosis of abusive head trauma (AHT), which is a leading cause of fatality in infants who experienced a non-accidental injury. The project also involves applying the developed models for clinical innovations. Therefore, expertise in biomechanics and FE simulations are needed, and the applicants should have a solid knowledge of mechanics or biomechanics. This project is funded by the Swedish Research Council (VR) that supports excellent quality research and will be carried out in collaboration with forensic scientists and clinicians.
Deadline : 29.May.2025
(26) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Theoretical Condensed Matter Physics
The group of Egor Babaev https://www.kth.se/profile/babaev at the Department of Physics of KTH Royal Institute of Technology has an opening for a Doctoral student in the field of theoretical condensed matter physics. The group carries a broad spectrum of research using analytical and numerical methods ranging from effective field theory, topological solitons, statistical mechanics of the phase transitions, topological systems to modern microscopic quantum many-body techniques.
Deadline : 28.May.2025
(27) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in how breast cancer alters lipid nanoparticle processing
In this PhD project we will map the lipid and protein expression profiles of the endosomal pathway to enable engineering of improved LNPs and disease specific endosome models for LNP screening. The project is part of an ERC starting grant and involves studying the impact of disease on endosomal properties and the processing of lipid nanoparticles. Key techniques will include omics, cell culture and small angle scattering.
Deadline : 26.May.2025
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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