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 Neuromorphic Computing in Memristors
As part of the Marie Curie ITN project REACT, KTH will focus on developing a memristor-based neuromorphic architecture, with particular emphasis on the BCPNN model pioneered at KTH. Other neuromorphic models will also be investigated. The PhD candidate will contribute to enhancing an existing simulation framework to validate memristor-based models in terms of functionality and accuracy, while also accounting for non-idealities and device variability. In addition, the candidate will develop memristor fabric fragments as SiLago blocks (“Silicon Lego bricks”) to enable rapid composition of memristor-based computational structures
Deadline : 28.Aug.2025
(02) 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.
We encourage applicants to submit their application well before the deadline as we monitor constantly the incoming applications.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is 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 society and industry. Read more: https://wasp-sweden.org/
Deadline : 25.Aug.2025
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Fiber- och polymerteknologi
Our society is facing the critical challenge of identifying environmentally and economically sustainable alternatives to moulded plastic products, not the least for single-use items. This PhD project, primarily funded by the Swedish Research Council (Vetenskapsrådet), aims to address this issue by exploring the chemical modification of cellulose fibres to develop materials that behave like vitrimers. Vitrimers are materials that remain covalently bonded during use but can be reshaped and recycled by breaking and reforming these bonds under specific conditions—typically breaking at higher temperatures and reforming at lower ones. This property enables reuse and reshaping into new products without compromising material integrity.
We are seeking a highly motivated PhD candidate with a strong background in chemistry. Preferred qualifications include expertise in organic chemistry synthesis, particularly the modification of carbohydrate-based materials and/or other polymeric systems. Experience with the processing of cellulose fibres and polymers is a significant advantage.
Deadline : 19.Aug.2025
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate) in efficient use of space and climate impact
The starting point of this project is that there is a need to reduce the emissions of greenhouse gases. One big source of such emissions is construction of new buildings. A more efficient use of buildings could reduce the need for new build. With the quick development and implementation of digitalisation, new opportunities for efficient use of buildings appear, but there is a large variation in how to implement space use sharing in various types of buildings. In this project, the intention is to look at sports facilities, student housing, mixed use buildings and offices and identify similarities and differences when it comes to sharing challenges. The overarching aim of this project is to explore pros and cons of using digitalization to support a more efficient space use in buildings as a way to support climate mitigation.
The project will be carried out in cooperation with several partners such as Akademiska Hus and Vakansa and KTH Sustainability, Real estate and facility services.
Deadline : 17.Aug.2025
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate) in calculations of consumtion-based emissions
Statistics on emissions of greenhouse gases from the Swedish consumption are calculated on a regular basis. The method, now implemented by Statistics Sweden, combine data from the Swedish System for Environmental and Economic Accounts, and an international Environmentally Extended Multi-Regional Input-Output Analysis (MRIO) model. The methods do however have some limitations and the overall aim of this project is to improve data and methods for calculating consumption-based emissions as well as testing the new methods in policy-relevant scenarios. The student will primarily work on methods for calculating future scenarios for emissions of greenhouse gases. Different types of future scenarios will be calculated.
Deadline : 17.Aug.2025
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students 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 : 15.Aug.2025
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Quantum Matter
As a PhD student in the Quantum Materials group, you will have the opportunity to participate in our project focused on the study of superconductors. The project is funded by the Knut and Alice Wallenberg Foundation and the goal is to develop and apply a new spectroscopic technique to study superconductors. You will work together with other PhD students, postdocs and researchers and also have the opportunity to participate in other research projects within the group. The work is conducted locally at KTH as well as at national and international large-scale research facilities.
Deadline : 15.Aug.2025
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in 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. and 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 : 15.Aug.2025
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in Guided Difussion Models for Reinforcement Learning
Reinforcement Learning (RL) agents tackle sequential decision-making problems by interacting with an environment and refining their behavior through trial and error. These methods have demonstrated remarkable success across various domains, even surpassing human performance. However, a major drawback is their reliance on vast amounts of training data to achieve such results. In domains like video games or recommendation systems, abundant training data is readily available. However, in fields such as finance or healthcare, data collection can be risky, expensive, or even legally restricted. RL algorithms can be broadly categorized into Model-Free and Model-Based approaches. Model-Free RL learns directly from interactions with the real (target) environment, whereas Model-Based RL trains agents using a learned model of the environment. As a result, Model-Based methods are generally more sample-efficient than their Model-Free counterparts. However, these methods are not exempt from challenges, two of the most critical being compounding errors and the Sim2Real gap.
In this thesis, the objective is to address these issues by exploring innovative diffusion models. These models will aim at enhancing both the learning process and the robustness of the learned policy in RL. Specifically, we plan to leverage guiding techniques within these diffusion models to steer the generation of trajectories toward those that are most beneficial for the learning process. By ‘beneficial,’ we refer to two key aspects: (1) fostering policies that are robust to modeling errors and adaptable to unseen environments, and (2) accelerating the learning process, ultimately improving sample efficiency. We will also explore ways to provide analytical guarantees to these methods.
Deadline : 12.Aug.2025
(10) 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 : 29.Jul.2025
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Student in Aftertreatment Filters for Hydrogen-Fueled Combustion Engines
Are you passionate about sustainable transport technologies and eager to explore the frontiers of emission control in next-generation engines? We are now recruiting a full-time PhD student at KTH Royal Institute of Technology to work on the development and testing of diesel particulate filters (DPFs) tailored for hydrogen combustion engines.
This PhD project focuses on understanding and addressing the unique emission challenges of hydrogen combustion engines (H2-ICE), with a particular focus on particulate formation and filtration. You will work on the development and evaluation of advanced diesel particulate filters (DPFs) and new particle measurement methods tailored to H2-ICE conditions. The work will combine experimental testing, both in laboratory and engine environments, with advanced material and emission analysis. The position is based at KTH and carried out in close collaboration with Scania, including hands-on testing at their facilities.
Deadline : 26.Jul.2025
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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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