Are you holding Master’s degree and looking for fully funded PhD positions? KTH Royal Institute of Technology, Sweden invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in Energy Promoter for MTDC-based Offshore Energy Hubs
Summary of PhD Program:
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.
Application Deadline: 02.Nov.2023
2. 02 Fully Funded PhD Position in physics-informed neural networks and their applications
Summary of PhD Program:
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.
Application Deadline: 30.Oct.2023
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3. Fully Funded PhD Position in Wood-based polymers for surface engineering
Summary of PhD Program:
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.
Application Deadline: 23.Oct.2023
4. Fully Funded PhD Position in experimental fluid mechanics: wind energy aerodynamics
Summary of PhD Program:
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.
Application Deadline: 01.Nov.2023
5. Fully Funded PhD Position in building energy system control
Summary of PhD Program:
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.
Application Deadline: 06.Nov.2023
6. Fully Funded PhD Position in Visual Optics
Summary of PhD Program:
Two PhD student positions are open at the Visual Optics group at KTH (https://www.aphys.kth.se/biox/research/vio) within the ACTIVA project, “Advanced Customized Technologies for Intact Vision in Ageing”, funded by EC MSCA Doctoral Network (www.kth.se/activa). 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:
WP1.3 “Customized multifocal contact lens for peripheral vision”: Aims to improve the design of existing lenses for presbyopia (age-related loss of the ability to focus on nearby objects).
WP2.1 “Normal changes in central and peripheral contrast sensitivity with ageing”: Aims to develop methods for early diagnosis of ocular diseases based on the visual function of the patient.
Application Deadline: 20.Nov.2023
7. Fully Funded PhD Position in Innovation Strategy in Process Industries
Summary of PhD Program:
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.
Application Deadline: 10.Nov.2023
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8. Fully Funded PhD Position in Sustainable power systems
Summary of PhD Program:
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.
Application Deadline: 02.Nov.2023
9. Fully Funded PhD Position in genomics
Summary of PhD Program:
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.
Application Deadline: 26.Oct.2023
10. Fully Funded PhD Position in Battery Energy Storage Systems for AC Interconnected Power Plants
Summary of PhD Program:
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.
Application Deadline: 02.Nov.2023
11. Fully Funded PhD Position in Nuclear Power Safety Analysis
Summary of PhD Program:
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.
Application Deadline: 20.Oct.2023
12. Fully Funded PhD Position in Numerical simulations in fluid mechanics
Summary of PhD Program:
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.
Application Deadline: 02.Nov.2023
13. Fully Funded PhD Position in theoretical condensed matter physics
Summary of PhD Program:
Quantum materials have stimulated a host of new ideas based on unconventional correlated, entangled, and topological orders. Correlations, entanglement, novel dynamic orders determine the properties of quantum materials and naturally reveal themselves in the time domain. We seek a qualified PhD student to work on Dynamical Quantum Matter with particular focus on dynamic superconducting states, odd-frequency superconductivity, dynamic multiferroicity and Dirac materials. Work will be done in the context of the ERC Synergy project on hidden, entangled and resonating orders (HERO)
Application Deadline: 06.Nov.2023
14. Fully Funded PhD Position in high-speed datacenter networking
Summary of PhD Program:
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.
Application Deadline: 31.Oct.2023
15. Fully Funded PhD Position in Computer Science with a focus on High-performance Parallel Computing
Summary of PhD Program:
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.
Application Deadline: 02.Nov.2023
16. Fully Funded PhD Position in nonlinear data-driven control
Summary of PhD Program:
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.
Application Deadline: 27.Oct.2023
17. Fully Funded PhD Position in Theoretical Chemistry
Summary of PhD Program:
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.
Application Deadline: 15.Nov.2023
18. Fully Funded PhD Position in Electricity Market Optimization
Summary of PhD Program:
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.
Application Deadline: 02.Nov.2023
19. Fully Funded PhD Position in numerical algorithms for data science
Summary of PhD Program:
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.
Application Deadline: 26.Oct.2023
20. 05 Fully Funded PhD Position in Sustainable Materials Engineering
Summary of PhD Program:
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.
Application Deadline: 13.Nov.2023
21. Fully Funded PhD Position in Seasonal Energy Storage for District Networks
Summary of PhD Program:
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.
Application Deadline: 02.Nov.2023
22. Fully Funded PhD Position in process metallurgy
Summary of PhD Program:
The focus of the project is to substitute fossil combustion processes with innovative electric technologies, such as electric resistance heating and microwave heating. Use cases are considered, targeting the production of refractory bricks and preheating processes in steel making. For these specific applications, appropriate demonstration plants have to be designed, built, tested close to the process and validated. This is supported by corresponding activities to provide suitable high-temperature materials and tools for instrumentation and effective process control. Challenges regarding thermal load management or intelligent energy management are simulated by means of numerical models.
Application Deadline: 31.Oct.2023
23. Fully Funded PhD Position in Urban energy data analytics
Summary of PhD Program:
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.
