If you’re a Masters degree holder and seeking Fully Funded PhD Programs, KTH Royal Institute of Technology, Sweden has several online applications open for PhD programs. Explore the PhD opportunities across diverse research areas and submit your application soon.
1. Fully Funded PhD Position in System Security, Formal Verification and Machine Learning
Summary of PhD Program:
We invite highly motivated students with a strong background in system security, formal verification, and/or machine learning to apply for two PhD positions, funded by Wallenberg AI, Autonomous Systems and Software Program (WASP). Successful candidates will have the opportunity to investigate cutting-edge research topics, including but not limited to one of the following areas, System Security, Formal Verification, and Machine Learning in Security and Verification.
Application Deadline: 31.Aug.2024
2. Fully Funded PhD Position in robotics for fire risk assessment in rural environments
Summary of PhD Program:
One of our research groups works closely with the forest industry with a focus on robotics, sensor systems and artificial intelligence. In the spring of 2024, we will start a project funded by MSB with a focus on how autonomous and remote-controlled forest machines can improve the coarse-grained estimation of the risk of ignition of forest and grass fires that exist today. Those interested in applying should have an interdisciplinary background in robotics or mechatronics, and a keen interest in immersing themselves in a critical societal area.
Application Deadline: 30.Jun.2024
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3. Fully Funded PhD Position in radar systems
Summary of PhD Program:
The project focuses on beam-forming techniques for modern antenna-array based radar systems. Different techniques, including machine-learning, will be investigated for advanced digital, analog and hybrid beam-forming concepts, and applied to generating arbitrary beam-shapes in multi-static and passive radar systems. The work is primarily to be done by using simulation and computation software. If a hardware platform will be available before the end of the project, an implementation of the techniques on that platform will be carried out. The project requires a background in electrical engineering, radar systems, electromagnetic simulations, basic signal processing techniques, and preferably also machine learning.
Application Deadline: 23.May.2024
4. Fully Funded PhD Position in light-controllable fluorescent proteins in microscopy
Summary of PhD Program:
We are looking for a motivated student interested in biophysics and live-cell imaging to join the Advanced Optical Bio-Imaging Laboratory (http://www.testalab.org) in Stockholm as a PhD student. The student will be part of the Biophysics Unit of the KTH Royal Institute of Technology, located in SciLifeLab in Stockholm, a national hub for life-science excellence in Sweden with cutting-edge laboratories and a vibrant multidisciplinary environment.
The student will investigate the properties of fluorescent probes and how we can use them to develop advanced imaging strategies for the study of cellular processes. The project will focus on the development of different spectroscopic and imaging assays to study the kinetics of photo-controllable fluorescent molecules. Experimental work on optical devices, in the wet lab and on image analysis will be integral parts of the project.
Application Deadline: 15.May.2024
5. Fully Funded PhD Position in wireless sub-THz and THz communications for 6G and beyond
Summary of PhD Program:
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, joint terahertz communication and wireless sensing, and terahertz communications for satellite networks, but there are opportunities to adapt the research to your personal interests. 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.
Application Deadline: 13.May.2024
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6. Fully Funded PhD Position in data driven predictive control for smart buildings
Summary of PhD Program:
New technologies for signal processing and control have great potential to increase efficiency of smart buildings. It could be to save energy, increase living comfort, reduce maintenance, or improve management. In this project we will in particular study and develop modern data driven predictive control algorithms. These methods rely on a mix of linear systems theory, optimization, and machine learning. They have proven to be efficient for complex systems with time varying dynamics.
Application Deadline: 08.May.2024
7. Fully Funded PhD Position in multimodal data-driven urban mobility management
Summary of PhD Program:
In this project, you will have the opportunity to explore multimodal mobility patterns in the Stockholm region using various data sources such as GPS, highway microwave sensors, toll portals, e-scooters, mobile phones, and public transport smart card data. You will use data-driven analytics, choice modeling, machine learning (ML), artificial intelligence (AI), and simulation to unveil the understanding of typical multimodal travel patterns and their relationships during various events, traffic incidents, and public transport disruptions. All this will lead to a multimodal predictive framework essential for pro-active scenario-based multimodal traffic management.
Application Deadline: 06.May.2024
8. Fully Funded PhD Position in secure networked learning and control systems
Summary of PhD Program:
The Division of Decision and Control Systems and the Division of Network and Systems Engineering are looking for one doctoral student with a very strong background and interest in control systems, mathematics, Bayesian inference, and modeling. The successful candidate will join a project on developing rigorous, novel tools for the fundamental understanding and engineering design of secure networked control systems. In particular, the focus will lie on the development of quantitative risk analysis tools for networked control systems with machine learning components and of algorithms for the detection of cyber-physical attacks, within the framework of a new WASP-project.
Application Deadline: 02.May.2024
9. Fully Funded PhD Position in Transport Science
Summary of PhD Program:
The Department of Urban Planning and Environment at KTH is looking for an excellent candidate for a doctoral student position in the area of Transport Science. We are working on quantitative methods in urban modelling and decision support, including development of new methods for data acquisition, AI, and Machine Learning, which is creating new opportunities in planning and urban and regional studies by the intersection of urban data science, technology, and design.
Application Deadline: 02.May.2024
10. Fully Funded PhD Position in DMDU for Transport Planning
Summary of PhD Program:
The Decision Making Under Deep Uncertainties (DMDU) project aims to shift the paradigm from a traditional ‘predict-then-act’ model, which optimizes based on a single ‘best-guess’ future (forecast), to a model that stress-tests plans to minimize regrets across a spectrum of potential scenarios (foresight). It will develop the DMDU tool with AI/machine learning data analytics that supports the development of a socio-economically efficient transport system, particularly in a long-distance planning context in Sweden.
Application Deadline: 02.May.2024
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11. 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 Day-Ahead Electricity Market (DAM) 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 DAM model.
Application Deadline: 02.May.2024
12. Fully Funded PhD Position in Software Supply Chain Security
Summary of PhD Program:
ShiftLeft seeks to transform the security of software supply chain by introducing a declarative code-centric platform supporting continuous security analysis. It incorporates foundational frameworks, novel abstractions combining static and dynamic techniques, and human-in-the-loop feedback with AI-driven prioritization metrics. The doctoral student will conduct research in developing foundational models and scalable code-centric analysis for a range of vulnerability classes, including code injection, sensitive information disclosure, insecure deserialization and more. They will explore a range of technologies including taint analysis, code property graphs, program slicing, and runtime monitoring.
Application Deadline: 30.Apr.2024
13. Fully Funded PhD Position in Competence center NEXT
Summary of PhD Program:
Macro/micro- stress evolution in complex microstructures of steels under cyclic loadings in electric vehicles. This project will implement in- situ measurements to investigate the mechanical response of surface hardened steels with different types of complex microstructures. The main interest is to understand the evolution of stress and damage, which leads to fatigue failure. This understanding can aid the development of improved materials and processes for optimal fatigue resistance.
Application Deadline: 30.Apr.2024
14. Fully Funded PhD Position in Space Physics for studies of Jupiter moon Io
Summary of PhD Program:
Jupiter moon Io is the most volcanically active world in the Solar System. It is the main source of material for Jupiter’s vast magnetosphere, but the processes for the material transport from Io to the environment are not fully understood and the putative variability of Io’s mass loss is puzzling. In the project, the student will analyze observations of Io’s atmosphere and surface taken by the Hubble Space Telescope and the James Webb Space Telescope. In addition, we will study the plasma environment through measurements near Io by the NASA Juno spacecraft. In combination with modelling, the project will address the questions of the mass loss from Io and its atmosphere to Jupiter’s magnetosphere.
Application Deadline: 29.Apr.2024
15. Fully Funded PhD Position in Molecular simulation of wetting
Summary of PhD Program:
The energetics and dynamics of wetting are of high interest from both fundamental scientific and technological points of view. Often the macroscopic behavior of wetting is dominated by processes at molecular scale at the interface. Here in particular the three-phase contact line is of importance, where substrate, liquid and gas (or another liquid) meet. The scales involved can not be observed directly in experiments. Atomistic molecular dynamics simulations can provide the required spatial and time resolutions. In this project will study how mixtures of two liquids or a liquid plus surfactant wet surfaces. The surfaces can be simple or have molecules attached to them that react to the liquid. In experiments non-trivial behavior has been observed.
Application Deadline: 29.Apr.2024
