PhD Nest

22 PhD Positions Fully Funded at KTH Royal Institute of Technology, Stockholm, Sweden

Spread the love

KTH Royal Institute of Technology, Stockholm, Sweden invites online Application for number of   PhD Positions at various Departments. We are providing a list of Fully Funded PhD Positions available at KTH Royal Institute of Technology, Stockholm, Sweden.

Eligible candidate may Apply as soon as possible.



(01) PhD Position – Fully Funded

PhD position summary/title:  Doctoral students in Visual Optics

Two PhD student positions are open at the Visual Optics group at KTH ( within the ACTIVA project, “Advanced Customized Technologies for Intact Vision in Ageing”, funded by EC MSCA Doctoral Network ( ACTIVA provides international training at the interface of physics and medicine to develop novel techniques facilitating intact vision with age. The PhD students should have a background in applied physics, optometry, or a related discipline relevant for the project and will be responsible for one separate workpackage each:

Deadline : 20.Nov.2023

View details & Apply



(02) PhD Position – Fully Funded

PhD position summary/title: Doctoral students in Theoretical Chemistry

In the interfacial layers between solid and liquid materials, several of the most important processes occur in both living and artificial systems. The properties of molecules can drastically change when they are in interfacial layers, which can be exploited for, among other things, detection and efficient catalysis. Often, models with thousands of atoms are required to describe this type of system. At the same time, many processes of interest depend on a quantum chemical description, such as chemical reactions or the interaction between molecules and light. We are interested in two specific systems: molecules on the surface of large proteins linked to Alzheimer’s disease, and molecular catalysts on the surface of electrodes, for example, in the production of hydrogen. The size of these systems is far beyond what conventional quantum chemical software can handle. In collaboration between the Department of Theoretical Chemistry and Biology and the supercomputer center PDC at KTH, a new quantum chemical software has been developed that is tailored for modern supercomputers. This enables studies of systems at least 10 times larger, allowing us, for the first time, to approach the processes described above with a full quantum chemical description. The doctoral positions involve studying the systems, testing the software on national and European supercomputers, and developing simpler methods necessary to describe the systems in question. In both projects, collaboration with experimental research groups will occur regularly.

Deadline : 15.Nov.2023

View details & Apply



(03) PhD Position – Fully Funded

PhD position summary/title: 5 Doctoral students in Sustainable Materials Engineering

Green Steel for a Fossil-free Future is a major Swedish and EU-financed initiative with objectives to shape advanced theory, models and practical knowledge for transforming the Swedish steel industry.  The intent is to enable the production of new advanced, materials engineered, products – without the use of fossil fuels – in a way that avoids waste and uses recycled and sustainably sourced material inputs. Five PhD students at KTH will work together with PhD students and a range of experts from KTH, Luleå University of Technology and industry. Students will participate in a PhD programme and innovation journey that provides an overview of the major advances of scientific knowledge in the field of materials sustainability as well as study visits to ongoing sustainability transformations e.g. Hybrit.  Each student will focus on their own specific research project that addresses a particular sustainability challenge. All projects will involve theory development that requires a combination of experimental and modelling work.

Deadline : 13.Nov.2023

View details & Apply



(04) PhD Position – Fully Funded

PhD position summary/title:  Doctoral student in Innovation Strategy in Process Industries

The doctoral project aims to study innovation strategies that promote long-term technological and operational development within Swedish water and wastewater sector. The focus is on how water utilities can improve their ability to adopt and use new technologies effectively. Using comparative case studies of innovation strategies of national and international forerunners in the sector, the aim is to develop new knowledge about how the industry can strengthen its long-term efficiency and technological development. Innovation in the process industry of water and wastewater sector is challenging. In Sweden, the water utilities, with a few exceptions, are small and have limited research resources. They are public monopolies without competition and usually have a strong emphasis on stability and safety in day-to-day operations. The industry is conservative and has a limited ability to absorb technological innovations. At the same time, there are today a number of emerging digital technologies with the potential to radically improve the utilities’ efficiency and eventually change their business models. However, how this is to be done is unclear. Existing innovation research is dominated by theories developed for product companies acting on a commercial market and there is a lack of powerful concepts for understanding innovation within process industries such as water utilities.

Deadline : 10.Nov.2023

View details & Apply



(05) PhD Position – Fully Funded

PhD position summary/title: Doctoral student 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 EU project 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. Additionally, you will be also expected to perform limited percentages of department duties, i.e., teaching, supervisions of thesis students, etc.

Deadline :06.Nov.2023

View details & Apply



(06) PhD Position – Fully Funded

PhD position summary/title: Doctoral students in theoretical condensed matter physics

Recent growth of computational power and high demand for prediction of materials opens new pathways to search, classify and predict materials using materials informatics. This approach places the main effort on performing high-throughput computing combined with data mining and machine learning tools. Applications of this data-driven approach are wide-ranging and cover the search for quantum materials with special electrical, optical and magnetic properties. Successful candidate(s) are expected to bridge the analytic and ab initio calculations in the framework of density functional theory within the field of quantum materials, including van der Waals and Dirac materials, topological materials, superconductivity, photovoltaics and multiferroics. The project is closely tied to the development of the open-access Organic Materials Database (OMDB) at Nordita. Work will be performed at Nordita, a Nordic Institute for Theoretical Physics, a joint KTH- SU research institution.

Deadline : 06.Nov.2023

View details & Apply



(07) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in WWSC: Wood-based polymers for surface engineering

This project aims to use building blocks from wood-based raw materials to produce new materials that can replace fossil-based counterparts, especially in adhesives and other applications where tailored surface properties are needed. The main focus will be on the polymerization of small molecules from wood, either as extracted or after functionalization, and characterization of the properties of the resulting materials. We strive to meet the principles of green chemistry. The work is supported by advanced lab equipment and many qualified colleagues. We are looking for a motivated candidate who wants to be at the forefront of research and create new technology for a sustainable future based on materials from the forest.

Deadline : 03.Nov.2023

View details & Apply



(08) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in Seasonal Energy Storage for District Networks

Reduction of greenhouse gas emissions associated to the heating sector is a key challenge we still have to face to attain worldwide decarbonization goals. Technically efficient, cost-effective, and environmentally friendly solutions integrating renewable energy sources, electrification of heat, seasonal energy storages, and industrial waste heat recovery are needed.  We aim to develop comprehensive assessment of the technical, economic, environmental and social impacts of such integrated systems.  The main goals of the doctoral work will be to build techno-economic models to investigate the performance of seasonal thermal energy storage integration and renewables-based district heating networks and to implement life-cycle and social life-cycle methodologies to assess environmental and social impact of such solutions. During the work, the PhD candidate is expected to have international cooperation with EU partners.

Deadline : 02.Nov.2023

View details & Apply



(09) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in Energy Promoter for MTDC-based Offshore Energy Hubs

Multi-Terminal high-voltage Direct-Current (MTDC) connections are emerging as a promising way to interconnect multiple wind power plants and hydrogen power stations in the future offshore energy hub, also known as energy islands. This PhD project, directly co-financed by Hitachi Energy and Shell, will investigate system integration and control of energy storage systems (ESSs) into the MTDC-based offshore energy hubs. More specifically, the PhD student will explore the system architectures to integrate ESSs into MTDC power systems. Dynamic interactions and control of ESS and MTDC-based energy hubs will be investigated, considering the grid-forming capabilities of HVDC stations.

Deadline : 02.Nov.2023

View details & Apply



(10) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in Sustainable power systems

The recent years’ development towards increasingly weather-based electricity production, together with an ever greater integration of the electricity system in Europe, has meant that the work in the control rooms for power systems will become increasingly intensive. In the future, operators will have to work more pro-actively to ensure that the frequency and voltage of the electric power system stay around nominal values, thus guaranteeing that consumers have access to the sustainable electricity they need. This urgent and highly topical problem is relevant for those who want to investigate how the control room for electric power systems of the future should be organized and how the computer systems should be designed so that the operators will have useful and adapted interactive information systems. You will collaborate with two other doctoral students with partly different specializations but with the same common goal. The project will include static and dynamic analysis of electric power systems and, in collaboration with other doctoral students, participate in visualization and prototype design. The work also includes field studies, workshops and interviews with practicing operators. The applicant should have a broad interest in electric power systems but at the same time have a strong interest in participating in an interdisciplinary project.

Deadline : 02.Nov.2023

View details & Apply



(11) PhD Position – Fully Funded

PhD position summary/title: PhD in Battery Energy Storage Systems for AC Interconnected Power Plants

Large-scale (from hundreds of MW to GW) green hydrogen power plants that are electrolyzed by wind power are being deployed in modern transmission grids. A resilient and cost-effective interconnection of such integrated power plants is critical to the security of power grids. This PhD project, which is directly co-financed by Hitachi Energy and Shell, will exploit battery energy storage systems (BESS) to enhance the AC interconnections of integrated hydrogen and wind power plants. More specifically, the doctoral student will develop modeling and analysis methods for identifying the dynamics challenges with the integrated wind and hydrogen power plants under a wide range of grid conditions and exploring the potential of BESS in addressing the identified challenges. Grid-forming capabilities of BESS for such integrated power plants will be further developed, considering the latest grid-code requirements and system needs.

Deadline : 02.Nov.2023

View details & Apply



(12) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in Numerical simulations in fluid mechanics

This project is part of LUBFLOW, which has the objective to develop a fundamental understanding of lubricant-infused surfaces in fluid flows, which could have significant implications for various technological applications. We are now seeking a PhD student in computational fluid mechanics. A lubricant-infused surface (LIS) is a structured surface infused with a viscous liquid layer. These slippery surfaces are partially inspired by the carnivorous Nepenthes pitcher plant. LISs have shown great promise for reducing fluid friction, preventing biofouling and increasing heat transfer in fluid flows. However, the behaviour of LISs in realistic flow environments is very difficult to predict. LUBFLOW will therefore investigate LISs in fluid flows that include turbulence, surfactants and bacteria. This could lead to better control of fluid flows and broad technological advancements.

Deadline : 02.Nov.2023

View details & Apply



(13) PhD Position – Fully Funded

PhD position summary/title: PhD in Computer Science with a focus on High-performance Parallel Computing

We invite highly motivated candidates to apply for one full-time doctoral student position in Computer Science (with a specialization in high-performance computing) at ScaLab at the KTH main campus in downtown Stockholm. ScaLab focuses on designing and optimizing algorithms, systems software, and architecture to improve the scalability of large-scale parallel computing. The doctoral students will work in a diversified research group, closely interacting with leading research groups in Europe and USA. Candidates with experience in Linux kernel development, architecture simulators, k8s, or large-scale HPC applications are welcome to apply. The position will work on the co-design for the computing continuum from high-performance computing to cloud. The research targets heterogeneous computing systems, including multi-core processors, GPUs and DPU accelerators, and HBM and NVM memories. The doctoral students will research novel system solutions to be integrated into Kubernetes plugins, MPI, runtimes, and libraries to improve the scalability and efficiency of applications on such computing platforms. The student is expected to publish research outcomes with open access to peer-reviewed conferences and journals. The doctoral student will also be able to develop project management skills for multi-nation projects.

Deadline : 02.Nov.2023

View details & Apply



(14) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in Electricity Market Optimization

European states (and Sweden) are working toward a sustainable intermittent renewable future. This green vision has brought about several important challenges. One of the major challenges is the increasing complexity in the Single Day-ahead Coupling (SDAC) model. First, the Market Time Unit (MTU) is planned to be reduced from 1 hour to 15 minutes. This roughly means an optimization model four times larger than what we have now. Second, the type and number of nonconvex orders are expected to increase by growing share of intermittent renewable generation. This in turn creates increasing complexity in calculating uniform prices. Third, Joint optimization of energy and balancing reserves in the day-ahead market which requires innovate algorithms to solve the SDAC model.

Deadline : 02.Nov.2023

View details & Apply



(15) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in experimental fluid mechanics: wind energy aerodynamics

The doctoral project is about experimental studies of the aerodynamics around wind turbines and the influence of nearby wind turbines on each other. The Ph.D. student will perform wind tunnel experiments using advanced measurement techniques (e.g., Laser Doppler Velocimetry) to characterize the flow behind wind turbines. The project also includes testing and developing advanced wake models to better predict how wakes behind wind turbines spread, especially in the case of swaying wind turbine towers that occur in floating offshore wind turbines due to surface waves. The project suits candidates with a deep interest in basic fluid mechanics and advanced measurement technology. The Ph.D. student will be placed in the Fluid Physics Laboratory, an international environment with approximately 15 Ph.D. students working under different research leaders. In total, about 60 Ph.D. students are employed at the department of Engineering mechanics who work on fluid mechanics problems.

Deadline : 01.Nov.2023

View details & Apply



(16) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in Nuclear Power Safety Analysis

The Division of Nuclear Power Safety 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 modeling of accident phenomena in nuclear reactors and perform safety analysis for nuclear power plants. The successful candidate is expected to (i) perform safety analyses of nuclear power plants using U.S. NRC codes; (ii) quantify uncertainties of the analyses; and (iii) extend the codes’ capabilities for simulations of accident phenomena important to Swedish nuclear reactors.

Deadline : 31.Oct.2023

View details & Apply



(17) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in high-speed datacenter networking

Today’s cloud and edge datacenters struggle to keep the pace of multi-100Gbps network interface card. A CPU transmitting 40Gbps of traffic consumes as much as 70% of its cycles, which cannot be used to run any applications. The recent rise of programmable high-speed hardware devices including P4 switches and SmartNICs have opened the doors to massive potential performance gains by offloading networking stacks from CPUs to hardware. Yet, reaping the benefits of such devices is today a largely unsolved problems. For example, multi-terabit per second network devices drop packets depending on specific time patterns. In this project, we plan to build radically new frameworks for controlling network and their performance in a programmatic manner. This research aims to publish work at the top venues in network systems (i.e., SIGCOMM and NSDI) and collaborate with industrial partners (e.g., Intel, Nvidia, Ericsson, Saab). In this project, you will have great possibilities to make impact in society and industry.

Deadline : 31.Oct.2023

View details & Apply



(18) PhD Position – Fully Funded

PhD position summary/title:  Phd in physics-informed neural networks and their applications

The Division of Decision and Control Systems is currently looking for up to two doctoral students with a very strong background and interest in physics-informed machine learning, mathematics, and learning for control. The successful candidates will join a world renowned team on the interdisciplinary project: developing physics-informed machine learning models for control. We are pioneers in exploring the synergy between physics-informed learning and its transformative impact on control systems. At least one position will be in close cooperation with the leading global manufacturer Hitachi Energy with real-world applications focused on enhancing the transmission of electric power in high-voltage components. This project is also identified by Hitachi Energy as a priority research area. The Division of Decision and Control Systems conducts fundamental research in networked control systems, cyber-physical systems, system identification, and transport systems. Industrial projects involve partners such as Hitachi Energy, ABB, Ericsson, and Scania. A major part of the research is conducted within the framework of the Wallenberg AI, Autonomous Systems and Software Program. We have a large academic network and collaborate with researchers at Caltech, MIT, UC Berkeley, Stanford, among others.

Deadline : 30.Oct.2023

View details & Apply



(19) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in nonlinear data-driven control

Autonomous systems, such as self-driving cars, rely on advanced control algorithms to make decisions and navigate complex environments, such as Model Predictive Control (MPC). However, traditional MPC methods are limited by the accuracy and availability of models. With the increasing availability of sensor data, data-driven MPC has emerged as a promising solution but most current approaches are limited to linear systems. This project aims at breaking the barriers to nonlinear data-driven MPC, by developing tools for nonlinear state estimation (based on differential-geometric methods), novel neural network architectures for mapping past data into optimal controls and efficient experiment design techniques for data collection.

Deadline : 27.Oct.2023

View details & Apply



(20) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in numerical algorithms for data science

Computation is nowadays often regarded as a third pillar for science, complementing theory and experiment, while new data analysis tools represent the fourth approach which lately has had tremendous impact on problems outside the reach of previous scientific techniques. Scientific challenges within computational sciences and data analysis are often formulated with linear algebra, where solutions are obtained via algorithms from numerical linear algebra. In this project, you will work with numerical algorithms for data analysis using numerical linear algebra. The techniques include algorithms within numerical linear algebra, such as matrix problems and matrix functions, and can include techniques from machine learning, such as neural networks with deep learning, as well as domain-specific techniques. As a doctoral student within this project, you will be a part of the research group for computational mathematics at the mathematics department at KTH, and will have the opportunity to collaborate with leading experts in applied mathematics. There are also opportunities to work with data and problems from oceanography through collaboration with colleagues at Stockholm University. Hence, you will also have the opportunity to work with data related to societal important issues, such as climate and environment. The research within this area encompasses development of software, algorithms, theory and analysis to address important problems within oceanography.

Deadline : 26.Oct.2023

View details & Apply



(21) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in Urban energy data analytics

This PhD position is proposed within the project ‘Integrating data-driven decision-support, energy models and data analytics in urban transition governance’. The project will study possibilities for the use of urban data in a more reflective and needs-oriented way to enable informed decisions in the transition to climate-neutral cities. It builds upon the Oden data ecosystem – the fusion of data, models and decision-support tools for urban building energy data analytics in Stockholm and other Swedish cities. This project will focus on a ‘real-life’ case study of large-scale implementation of energy efficiency measures across an urban district in Stockholm.

Deadline : 26.Oct.2023

View details & Apply



(22) PhD Position – Fully Funded

PhD position summary/title: Doctoral student in genomics

Professor Tuuli Lappalainen’s research group is looking for a PhD student for an ERC-funded research project that links variation in gene dosage to cellular traits using a systems genetics approach. The research group works at the international forefront of human functional genomics, aiming to understand how genomic variation contributes to diversity of human traits and diseases. The project combines experimental work using CRISPR and single cell sequencing methods with computational analysis, with the specific angle tailored according to the interests and expertise of the student. Potential research areas can include human genetics, gene regulation, cell biology and computational systems biology. There are also opportunities to engage in other related projects in the lab, as well as ongoing collaborative efforts within the Gene Technology Department and elsewhere nationally and internationally. In addition to the team at KTH, located at the SciLifeLab campus, Dr. Lappalainen also has an active research lab at the New York Genome Center, with close interactions between the teams.

Deadline : 26.Oct.2023

View details & Apply



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.



Disclaimer: We try to ensure that the information we post on is accurate. However, despite our best efforts, some of the content may contain errors. You can trust us, but please conduct your own checks too.

Spread the love

Leave a Comment