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 physical chemistry & environmental chemistry
The composition of Earth’s atmosphere and its ability to respond to pollution and climate change is maintained by oxidation reactions involving short-lived radicals. In particular, thousands of different organic radicals are present in the atmosphere, such as Criegee intermediate (CI), resulting from the reactions of unsaturated organic compounds with Ozone. Despite several decades of research, these CI remain very difficult to observe in laboratory and have never been observed in the atmosphere. Thus many questions remain on their reactions. This PhD position will take place within an on-going European Research Council (ERC) Advanced Project and have for specific objective to investigate the use of Proton Transfer Mass Spectrometry to detect these radicals and to study their reactions in laboratory. The results will bring new information on the reactions of these radicals that will improve the understanding of the atmosphere’s chemistry and oxidation cycles.
Deadline : 10.Feb.2025
(02) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in learning and optimization for edge computing
The Division of Network and Systems Engineering is looking for one doctoral students with a very strong background and interest in system modeling, optimization, and machine learning. The successful candidate will join a MSCA Doctoral Network project on developing rigorous, novel tools for safe and prompt learning and optimization of distributed network infrastructures. A strong focus will lie on the development of algorithms that include machine learning components, and on cooperation with industrial partners and with the TECoSA competence center at KTH.
Deadline : 03.Feb.2025
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(03) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in Nuclear Engineering
Severe accident management strategy in Nordic BWR plants aims to avoid rapid failure of the containment in case of corium melt resale from the reactor vessel. It is assumed that melt will fragment in a deep water pool and form a coolable bed of corium debris. That is, however, not certain. Also, there is a risk that energetic interactions between hot corium melt and water coolant can damage the containment. The goal of this project is to develop methods for addressing the most influential sources of uncertainty in severe accident progression for Nordic BWRs and use ROAAM+ framework to assess the remaining uncertainty in risk assessment.
Deadline : 31.Jan.2025
(04) Fully Funded PhD Position
PhD position summary/title:–Ph.D position in Sustainable Energy Materials
The Light & Matter Physics Division conducts both fundamental and applied research across multitude scientific fields, with a strong focus on energy-related materials. The Ph.D. candidate will join the Sustainable Materials Research & Technology (SMaRT) group, dedicated to advancing the understanding of intrinsic properties in a range of materials, from alkaline battery components to photovoltaic solar cells. Research involves extensive experimental work performed in state-of-the-art in-house laboratories and at large-scale facilities, supported by a productive collaboration with theoretical researchers. The Ph.D. candidate will also be part of the WISE Graduate School.
Deadline : 30.Jan.2025
(05) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in Social Robotics
CLEAR-BOT (CoLlaborative intElligence for human-Aligned RoBOTs) is a project that aims to align robot learning with human intentions. Current AI systems often miss the nuances of human intentions, leading to unintended consequences. We aim to develop robots that learn true human intentions by combining direct human feedback with insights from foundation models. This approach will reduce reliance on continuous human input while ensuring robots act safely and ethically in complex human environments.
The project focuses on (1) integrating human feedback with information from foundation models, and (2) creating a shared understanding between robots and humans, enabling robots to detect misalignment and proactively seek clarification for expanding and/or correcting their representation.
Deadline : 17.Jan.2025
(06) Fully Funded PhD Position
PhD position summary/title:–Doctoral students in Large Language Model inferencing
The advertised doctoral student positions 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. More details about the project are available at: https://kaw.wallenberg.org/en/research/democratizing-use-ai
Overall work will entail pruning and fine-tuning of large language models, as well as design, implementation, and evaluation of distributed systems and networks for machine learning inference.
Deadline : 17.Jan.2025
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(07) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in Applied Mathematics (spec. Mathematical Statistics)
This doctoral project focuses on problems at the intersection of probability theory, stochastic analysis and optimization that have bearing on financially motivated problems. Mathematically, the focus could, for example, be on optimal transport problems featuring stochastic constraints, on stochastic processes taking their values in spaces of measures, and on the usage of stochastic control theory for handling optimization problems in such contexts. The overall goal is to identify, address and solve problems in mathematical finance using the aforementioned tools; more precisely, we consider the problems of pricing, hedging and optimal investment in the presence of additional market constraints or under lack of full information. Candidates should take a genuine interest in such applications as well as in the underlying mathematical problems. The precise scope and format of the project will be formed and adjusted in collaboration with the successful candidate. Interested candidates are encouraged to visit my homepage to familiarize themselves with my research interests.
Deadline : 16.Jan.2025
(08) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in integrated transport models for societal outcomes.
The focus of the project is to integrate societal impact assessment of transport solutions with travel behavior models. Travel behaviour models and societal impact assessment methods are built separately and often need particular expertise to synthesize and streamline the findings. This project will address this issue in an effort to explore and develop integrated assessment models with AI. It will address how new technology based solutions (e.g. CAVs, EVs) and nuanced policy interventions (e.g. restricting fossil fuel vehicle use, reducing car parking, introducing carpooling) impact sustainability outcomes, specifically behavioural adaptation, emission targets and equity goals. The methodological approach will be a combination of theory driven and data driven models to build theory driven AI systems. Application of estimates like consumer surplus, value of travel time, demand elasticities will be discussed in the process of critical literature review and model development. The use of big data from traffic censors and social media data mining will be explored.
Deadline : 15.Jan.2025
(09) Fully Funded PhD Position
PhD position summary/title:–Doctoral student (licentiate) in building energy system control
In the transition toward low-energy buildings and the 5th generation of district heating, using data-driven approaches to integrate decentralized renewables with optimal control will play a vital role. You will join an exciting research team and interdisciplinary Swedish and EU projects to develop and apply machine learning (ML) techniques, novel system control and optimization methods to integrate/operate various thermal storage and building HVAC systems. You will perform dynamic simulations of energy operation (both thermal and power), as well as testing the developed ML methods/control solutions in multiple live-in-labs across Europe. You will work closely with a large number of industry partners and other researchers to manage project deliverables.
Deadline : 15.Jan.2025
(10) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in occupational exposure assessment for the green transition
There is an intensifying transition towards ‘plug-in’ cars, and as the existing fleet gets older, the repair needs increase. The Division of Ergonomics at the Department of Biomedical Engineering and Health Systems is looking for a Licentiate student to collect and analyze workplace data to identify the hazards of repairing plug-in vehicles as a basis for recommending control strategies
Applicants should hold, or be about to receive, a Masters Degree in Occupational Health and Safety, Work Environment Engineering, or other relevant disciplines related to work and health. First-hand experience with chemical exposure assessment and ergonomic assessment, as well as familiarity with vehicle repair and maintenance sector, is a bonus. The candidate should have strong critical reasoning skills, excellent knowledge of written and spoken English and Swedish, and the ability to work both independently and within teams.
Deadline : 15.Jan.2025
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(11) Fully Funded PhD Position
PhD position summary/title:–Doctoral student (licentiate) in Foundation Models for EO Big Data
We are excited to announce a new PhD position in “Foundation Models for Earth Observation Big Data”. This research opportunity will center on the development of cutting-edge self-supervised models and strategies aimed at harnessing the vast potential of multi-modal, multi-temporal, and multi-resolution satellite imagery. The focus of this doctoral research will be on creating innovative models that not only capture complex spatiotemporal patterns but also enhance various downstream tasks, including change detection, segmentation, and regression for environmental change monitoring. If you are passionate about advancing the field of Earth observation with artificial intelligence and have a strong background in machine learning, computer vision, or remote sensing, we encourage you to apply and be part of this journey towards revolutionizing Earth observation big data analytics.
Deadline : 15.Jan.2025
(12) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in Data-Driven Methods in Human Movement Biomechanics
The PhD student will join the research group at KTH MoveAbility, with a special focus on data-driven methods in human movement. Our research focus is technology to decode, predict and enhance human movements, with an extra focus on people with motor disabilities. Our common research goals are to investigate fundamental motor, body and performance-related factors that contribute to movement abnormalities and overuse injuries, and to develop evaluation tools and active assistive devices. Our research methods include experiments, modeling/simulation and data-driven algorithms.
Deadline : 14.Jan.2025
(13) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in protein design for improved terpene biosynthesis
Syrén’s research group is recruiting a PhD student in protein design applied to terpene biosynthesis. The project, which is funded by EU (HORIZON-TMA-MSCA-DN), involves international research groups and exchanges with those (e.g. Jean Monnet University in France) and is at the forefront of biocatalysis and enzyme design. The successful candidate needs to be motivated to learn techniques from both of these disciplines as well as have an interest in synthetic biology.
With a growing population and a decrease in the available natural resources on our planet, there is a great need for innovative production methods based on green chemistry. The main aim of this project is to develop protein-based catalysts for selective transformations applied to terpenes. The research area of the PhD student includes protein design, enzyme engineering and synthetic biology to expand nature’s current repertoire with respect to selective biosynthesis of terpenes.
Deadline : 10.Jan.2025
(14) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in hybrid control of multi-agent systems
The project involves distributed task planning and control for multi-agent systems. Multi-agent tasks will be given in the form of formal verification languages such as temporal logic and its variants. The control of each agent will need to take into account information from other agents as well as changes in the environment. The doctoral student will develop novel algorithms for distributed multi-agent planning and control under complex tasks that account for these features using tools from multi-agent planning and control, hybrid control systems, formal methods and game theory.
Deadline : 10.Jan.2025
(15) Fully Funded PhD Position
PhD position summary/title:–Doctoral student (licentiate) in GIS, valuation & ecosystem services
The project contributes to improved decision support for selecting and designing economically efficient transport infrastructure projects by developing tools that make the link between intrusions into the natural environment, biodiversity, ecosystem services, and economic values visible. The project focuses on developing a valuation model for the ecosystem service recreation that is as generalizable as possible, i.e. it can be used independently of what area is under study. This valuation model will be developed using GIS (geographic information systems), workshops, surveys, and machine learning.
Deadline : 10.Jan.2025
(16) Fully Funded PhD Position
PhD position summary/title:–PhD student in Learning & Control of Networked Cyber-Physical-Human Systems
The Division of Decision and Control Systems is looking for up to two doctoral students with a strong background in control systems, mathematics, and modeling, and with a keen interest in network theory. The project lies in the intersection of network dynamics, learning, and control and aims to address theoretical challenges within networked cyber-physical-human systems (CPHSs). These systems are characterized by humans in interconnected communities making decisions while interacting with a cyber-physical or control system, and applications include complex socio-technical systems such as smart cities. The project will include learning complex dynamics from big data and rigorous characterization and (data-based) modeling of decision-making dynamics over networked CPHSs, in addition to the development of novel tools to design and assess the impact of control strategies or interventions.
Deadline : 10.Jan.2025
(17) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in resilient microgrids
Future power systems could be more vulnerable due to the wide integration of renewable energy, electric vehicles, coupled cyber-physical networks, increasing extreme events (disaster, cyberattacks). Microgrids, which integrate various energy sources (e.g. renewable energy, energy storage, local controllable loads) can be either grid connected or island mode operated, provide a possible solution to achieve self-sufficiency and enhance grid resilience. This project aims to develop optimal coordination and control strategies for microgrids to achieve self-balancing when they are disconnected from the grids, and grid support functions when they are connected to the grid.
Deadline : 10.Jan.2025
(18) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in Neuronics
One of the advantages with the finite element method is the possibility to model the anatomy with great detail, thus it is possible to study the kinematics of the head as well as the stresses and strains in the Central Nervous System tissues. Molecular Dynamics simulations will be used to investigate how the protein or membrane is affected by mechanical stress. With a proper understanding of the cellular and molecular mechanisms following trauma to the human brain, better protective systems such as helmets and candidates for therapeutic drugs against brain injuries can be developed.
Deadline : 10.Jan.2025
(19) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in Neuronics
Virtual testing based on finite element (FE) models is driving the transformation of vehicle assessment and safety research to enhance the protection of road users. However, the FE simulation is notoriously time-expensive, resource-intensive, and exclusively accessible to FE-skilled specialists, hindering the scalability and applicability of virtual testing for automotive assessment and fast-paced traffic safety research. This project will a data-driven, machine learning (ML) model of the human head with rapid and reliable brain strain prediction across diverse automotive impacts to accelerate the virtual testing workflows. New knowledge of brain biomechanics relevant to current and future road users will be generated
Deadline : 10.Jan.2025
(20) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in sprayed solar cells
In our group, we focus on organic and electronics and solar cells based on sustainable, bio-based materials. Starting from the thinnest conductive paper, we use advanced thin film technologies to apply functional layers by spray deposition as rapid, versatile, scalable, and industrially relevant thin film technology. This project aims to develop novel all-sprayed solar cells. Here, it is crucial to elucidate the underlaying nanostructure-process-functionality (e.g. photovoltaic efficiency) relationship; thus, the work includes design and development of spray deposition for cellulose-based polymer solar cells including in situ experiments at synchrotron radiation facilities, such as MAX IV in Lund, at synchrotrons in Germany, Europe, and USA as well as neutron scattering at European and international neutron sources. We thus expect the student to travel abroad for experimental work.
Deadline : 10.Jan.2025
(21) Fully Funded PhD Position
PhD position summary/title:–Doctoral students in Networked Systems Security
We invite applications for doctoral student positions with the Networked Systems Security (NSS) lab at EECS/SCS. We are looking for highly motivated individuals to pursue a PhD in security and privacy. The positions involve activities leading to original research and results in peer-reviewed publications. The research topics can relate with any of the NSS group areas (https://www.eecs.kth.se/nss).
The NSS group designs and builds trustworthy networked systems, with a research agenda covering a gamut of security and privacy problems and results that got significant attention by the research community. NSS introduced a new security curriculum at KTH. Candidates with experimental/systems or theoretical profiles and research interests in any aspect of security and privacy are welcome to apply.
Deadline : 10.Jan.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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