Are you holding Master’s degree and ready to elevate your academic journey to the highest level? KTH Royal Institute of Technology, Stockholm, Sweden, has announced a multiple fully funded PhD positions awaiting talented individuals like you. Don’t miss your chance to be part of our vibrant academic community. Explore the exciting PhD positions available and submit your application today!”
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible.
(01) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in computational fluid dynamics of multiphase flows
FLOW is seeking a highly motivated Ph.D. candidate with a strong background in flow physics, numerical methods, and programming to join the research group of Assistant Prof. Shahab Mirjalili. The Ph.D. candidate will develop physical models, computational schemes, and high-performance computing software to study multiphysics effects in multiphase flows. In addition, the candidate will use data-driven tools, including deep learning methods, to develop reduced-order models of such flows. The candidate will be part of FLOW, which is a dynamic and collaborative research environment. As such, it is important that the Ph.D. candidate collaborates with other researchers in the community and actively engages in scientific and other activities.
Deadline : 31.Mar.2025
(02) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in Emerging Quantum Materials
Understanding emerging quantum materials is crucial for developing quantum computers with unprecedented processing power as well as replacing old electronics with energy efficient spintronics. This project will use leading neutron/muon/x-ray facilities to reveal detailed nuclear/spin structures & excitations of novel quantum materials. Theory and modeling of data will be conducted in collaboration with NORDITA. The project is also a collaboration with ISSP, Univ. of Tokyo, and the student is expected to spend 1 year of the PhD in Japan. Studies of novel superconductors, topological materials and altermagnets are anticipated. For more information: https://www.kth.se/profile/condmat/page/open-positions
Deadline :31.Mar.2025
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(03) Fully Funded PhD Position
PhD position summary/title:– Doctoral student in physics of fluids and interfaces
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. As part of LUBFLOW, funded by the European Research Council (ERC), the project uses computational fluid mechanics to explore fundamental questions about multiphase fluid flows interacting with complex surfaces and materials. Specifically, the candidate will develop and apply state-of-the-art numerical codes to study transport processes in both laminar and turbulent flows containing two or more fluid phases. Our primary focus is on understanding how complex surfaces—whether rough, porous, or lubricated—can be used to control transport processes. This could lead to technological advancements in several sectors, including energy, health and engineering.
Deadline : 31.Mar.2025
(04) Fully Funded PhD Position
PhD position summary/title:–Doctoral Student in High-Temperature Metallurgy, Tramp Element Removal
The Horizon Europe-funded project “Metallic Elements Dissipation Avoided by Life Cycle Design for Steel” (MEDALS) focuses on enhancing steel recyclability by addressing tramp elements—unwanted impurities that accumulate during recycling. The PhD candidate will lead high-temperature experiments to improve scrap processing and steel quality. This role involves developing innovative pyrometallurgical setups, modeling industrial processes, and validating results. The main tasks includes designing and conducting laboratory experiments to remove tramp elements from liquid steel
Deadline : 31.Mar.2025
(05) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in signal processing for underwater systems
Recent events in the Baltic Sea have demonstrated the vulnerability of critical underwater infrastructure, such as gas pipelines and submarine cables. New technologies for monitoring marine environments are needed to increase security around critical underwater infrastructure and thereby increase the protection of our society and marine environment. A key component required to develop these new technologies is scalable and resource-efficient methods for reconnaissance and communication in underwater environments.
Today, sensing and communication are separate processes in most underwater systems, and sensing and communication follow a predefined pattern. This causes a suboptimal utilization of resources, such as energy, bandwidth, etc. But thanks to technological advancements, it is now realistic to imagine systems that integrate sensing and communication into a single task and intelligently adapt their behavior to the situation at hand. Thereby, the systems will be better able to utilize available resources and enable large-scale monitoring of marine environments. Within this PhD project, you will contribute to developing theory and methods for integrated sensing and communication within underwater systems.
The exact research direction within the overall research area of underwater signal processing and communication can be tailored to your interests. A few possible directions are the research and development of methods for a) distributed sensor fusion and communication in underwater sensor networks; b) estimation and identification of underwater acoustic propagation models; and c) sensor management and path planning for marine vessels. Theory and methods from signal processing, communication theory, optimization, and machine learning will be essential to the research.
Deadline : 27.Mar.2025
(06) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in Theoretical Condensed Matter Physics
One of our research topics is the emerging field of composite order: In a recent year, experimental discoveries were made that revised half-century-old paradigms: the discovery of electron quadrupling condensate, and topological defects carrying an arbitrary fraction of magnetic flux quantum. The discovery opened up many fundamental questions on the nature of this new state of matter and its possible applications. Other topics include other new quantum symmetry-breaking and topologically-ordered states, unconventional phase transitions, and application of newly developed methods, such as Diagrammatic Monte-Carlo to understand the long-standing problems. Collaboration with local and international experimental groups involved in the project is encouraged https://www.science.org/doi/full/10.1126/science.abp9979.
Deadline : 26.Mar.2025
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(07) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in Polymer technology
We are looking for a PhD student that is eager to find a solution to one of today’s largest challenges for plastics: How do we create effective circular material streams via chemical recycling? Plastics are indispensable materials that contribute to a sustainable development and the lifestyle we are all accustomed to today. Yet, at the same time, plastics generate enormous amounts of plastic waste that is not recycled in a circular manner. This is what we want to solve via effective closed-loop chemical recycling. In these systems, the building-blocks are chemically recycled energy efficiently, at high yield without the formation of biproducts. Two polymeric material groups are in focus as they possess the desired thermodynamic prerequisites, the aliphatic polyesters and polycarbonates. Within the project we will design chemical recycling methodologies by attaining a fundamental understanding of the effect of reaction conditions and chemical structures, ensure (re)polymerization into polymeric materials with retained properties and evaluate how well our methods follow the principles of green chemistry.
Deadline : 25.Mar.2025
(08) Fully Funded PhD Position
PhD position summary/title:–Doctoral Student in Scalable Probabilistic Machine Learning and Compilers
The doctoral student position focuses on fundamental research combining probabilistic machine learning and compilers. Specifically, research challenges concern methods for finding compilation techniques and novel probabilistic machine-learning methods that scale up to very large problems in general and in the context of phylogenetic applications in particular. The focus is on Bayesian inference techniques and how to design probabilistic programming languages, both for usability and performance. Moreover, exploring combinations with other machine learning and generative AI methods is also encouraged.
Deadline : 24.Mar.2025
(09) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in Nuclear Power Safety
The group of Nuclear Power Safety in Nuclear Science and Engineering (NSE) Division conducts research on accident phenomena of risk importance to existing and future nuclear reactors, and performs safety analysis for nuclear power plants, including design basis accident analysis and severe accident analysis. The research projects involve extensive international cooperation.
We are looking for a doctoral student to carry out frontier research on interactions of core melt with below-RPV structures during severe accidents of light water reactors. The doctoral student projects are supported by the funds from the APRI-12 program.
The successful candidate is expected to perform experimental and analytical studies on melt-structure interactions important to ex-vessel corium risk analysis of light water reactors
Deadline : 21.Mar.2025
(10) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in Signal Processing for 6G Wireless Communications
Wireless communication technology has evolved over five generations, but the demand for higher efficiency, availability, and reliability is never-ending. The physical layer of 5G and 6G networks revolves around the multi-antenna MIMO technology. 5G uses 64 antennas in each base station and four antennas in devices, which might grow by 5-10 times in 6G. Combined with well-designed signal processing algorithms, these antennas can be used for beamforming, spatial multiplexing, and integrated communication and sensing (ISAC).
In this doctoral project, you will contribute to cutting-edge 6G MIMO technology research and develop new communication theory and signal processing algorithms. The focus might be on Gigantic MIMO, cell-free networks, near-field communications, MIMO satellite communications, or ISAC. The research will be focused on the physical and media access control layers. Methods from MIMO communication theory, array signal processing, optimization, and machine learning will likely play a vital role. The research will mainly be theoretical, but KTH has testbeds for potential experiments. However, we are not looking for microwave engineers because no antennas or hardware will be built.
Deadline :20.Mar.2025
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(11) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in mobile wireless sub-THz/THz MIMO communications for 6G
Wireless technology has evolved over five generations, but the need for higher efficiency and reliability is never-ending. The 6G research aims to identify new groundbreaking methods enabling tomorrow’s wireless applications. Specifically, the interest toward even higher frequencies beyond millimeter waves remains high for 6G and beyond. This particularly includes sub-terahertz (sub-THz, 100 GHz – 300 GHz) and terahertz (THz, 300 GHz – 3 THz) bands that theoretically enable both extremely high-rate connectivity and extremely high-resolution sensing.
In this doctoral project, you will contribute to the theory formation for mobile sub-THz and THz wireless communication systems for 6G and beyond and establish yourself at the international forefront. Some possible research sub-areas are related to physically large antenna arrays, near-field THz communications, intelligent reflecting surfaces (IRSs), joint terahertz communication and wireless sensing (ISAC), massive and distributed MIMO at sub-terahertz frequencies, and terahertz communications for satellite networks. The research will focus on the physical layer and media access control layer. Methods from probability theory, communication theory, electromagnetics, optimization, and machine learning will play an important role.
Deadline : 20.Mar.2025
(12) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in Social robotics
Social robotics is a rapidly expanding field; with more advanced human-like robots proliferating within, e.g., education. It is also changing drastically with the introduction of large language models (LLM) that can be used to allow social robots to interact more naturally with humans in different application areas. However, the use of LLM also signifies that developers have less control over the robots’ interaction than when they are pre-programmed. In particular, LLMs may output incorrect or made-up information.
Developers and users alike need to handle this situation, not the least when robots are used in education, since incorrect information may harm learning. Investigating and improving learning situations in which students interact with robots that may not always provide correct information will therefore be of particular interest for the doctoral studies. Exploring the influence of factors such as the students’ background and AI experience on their trust in the robot and how multimodal robot signals (word choice, voice features and facial expressions) could indicate how certain the robot is about the information provided are other central themes.
Deadline : 17.Mar.2025
(13) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in the photochemical synthesis of solar cell materials and devices
A grand vision in chemistry is to use sunlight and simple reagents to make useful products. Photochemical synthesis is a sustainable and scalable method that yields high purity materials. This project will focus on making complete solar cells through photochemical synthesis. We will synthesize semiconductors and charge selective layers in situ through the photochemical activation of catalysts and direct photolysis. The project will make extensive use of lasers and laser-based spectroscopies for synthesis and characterization of solar cell materials.
Deadline : 13.Mar.2025
(14) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in human-centered AI for learning
The rise of generative artificial intelligence (AI) systems and other AI/ML-powered applications present transformative opportunities for creativity, problem-solving, and personalized education at different academic levels and across educational contexts. However, fully harnessing these opportunities requires a triple focus: 1) conducting research to identify ways of integrating AI tools that positively impact teaching and learning, 2) leveraging these insights to design innovative and effective AI technologies for education, and 3) equipping students and teachers with the skills and knowledge to use these tools effectively and ethically.
As a doctoral student you will join a multidisciplinary project that aims to study and design the next generation of AI tools for education. You will have the opportunity to apply and learn technical skills (e.g., AI/ML model training and fine-tuning, data science, explainable AI), design skills (e.g., visualisation, front-end development), human-centred skills (e.g., conducting user studies, iterative design), and education-specific skills (e.g., applying educational frameworks, researching learning outcomes). The research will be conducted in close collaboration with experts in human-computer interaction and learning analytics at KTH, experts in human-centered AI for learning and virtual agents as well as students and teachers at KTH, and several national and international collaborators.
Deadline :13.Mar.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.
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