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 Power system optimization
The Alternating Current Optimal Power Flow (AC OPF) problem is at the heart of economically efficient and reliable electricity transmission network operation. The AC OPF and its variants are large-scale nonconvex optimization problems which are hard to solve. However, efficient AC OPF calculation could save billions of euros per year and reduce harmful emissions. Today, the major AC OPF computational challenge is to consistently find a global AC OPF solution using fast and robust solution techniques. Accordingly, we will pursue the following five objectives: First, we will explore the recent nonconvex optimization techniques for solving the AC OPF problem. Second, we consider the security and ramping constraints in the AC OPF derivations and see how those nonconvex optimization techniques can be used. Third, the binary decisions involved in network optimization are considered in the AC OPF solution algorithm developments. Fourth, we address limited observability issue for online AC OPF calculation.
Deadline : 10.Jul.2023
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in secure networked control systems
The Division of Decision and Control Systems is looking for up to three doctoral students with a strong background and interest in control systems, mathematics, and modeling. The successful candidates will join a project on developing rigorous, novel tools for the fundamental understanding and engineering design of 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 within the framework of a WASP project.
Deadline : 21.Jun.2023
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in glide symmetry for power distribution network
A 4-year PhD position is available in the framework of the MSCA Doctoral Network GENIUS “Glide-symmetric mEtamaterials for iNnovative radIo-frequency commUnication and Sensing”, funded by the European Union’s Horizon Europe Programme and by the UK Research and Innovation. The candidate will address the problem of leakage in high-power distribution network on satellites by means of integrated glide-symmetric (GS) elements.
Deadline :07.Jul.2023
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate) in Digital Twin in Transportation
The commitment to decarbonization and positive energy district (PED) is driving cities and service providers to leverage emerging techniques to promote sustainability that could improve or innovate conventional practices in all fields. To support policy decisions, the project aims to develop a Digital Twin model, named GEMINI, for transportation emission monitoring and prediction in cities. The GEMINI brings together multisource data into a single platform and uses data/AI analytics and simulation techniques to holistically create system understanding and knowledge (what was or is …). It also connects IoT sensor data as the basis for knowledge-based decision-making targeting different aspects of sustainability and policy interventions in cities (what if …). The project will prototype and demonstrate the GEMINI platform in Kista and also with the intention to scale up to the City of Stockholm.
Deadline :26.Jun.2023
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Computer Science
We are seeking a highly motivated and talented Ph.D. student to work on the European Commission-funded ASAP project, which aims to develop a computing platform for machine learning algorithms that can operate onboard spacecraft under space conditions. The successful candidate will be responsible for identifying the requirements for a computing platform prototype for Machine Learning in space and leading the communication and dissemination efforts for the ASAP and Plasma-PEPSC projects. The Ph.D student will work closely with a team of researchers on the ASAP project and have access to state-of-the-art facilities and equipment. If you are passionate about computer science, machine learning and space technology and you are interested in contributing to the development of cutting-edge hardware platforms for space applications, we encourage you to apply for this exciting Ph.D. position.
Deadline : 06.Jul.2023
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Artificial intelligence, Human-robot interaction
We are looking for a PhD student who is interested in Artificial Intelligence, Machine Learning, Natural Language Processing and Human-Robot Interaction. The doctoral student will work in a newly funded project at the Department of Speech, Music and Hearing within the School of Electrical Engineering and Computer Science at KTH. The project is financed by the Swedish AI-program WASP (Wallenberg AI, Autonomous Systems and Software Program) which offers a graduate school with research visits, partner universities, and visiting lecturers. The newly started project is titled “Anticipatory Control in Conversational Human-Robot Interaction”. The aim of the project is to use self-supervised learning to develop generic language models for human-robot interaction and explore how such models can be used in real time to predict and anticipate human behavior and thereby improve the interaction. Whereas traditional language models in NLP (such as BERT, GPT) have focused on written language, we want to model multi-modal conversation, where aspects such as engagement, turn-taking, and incremental processing are of importance. This means that the models will have to process both text, audio and video, including aspects such as how the human users move and their facial expressions.
Deadline : 14.Jul.2023
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Nuclear Power Safety
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 research on modeling and simulation of accident phenomena important to the safety analysis of lead-cooled fast reactors. The successful candidate is expected to (i) numerical simulation of thermal-hydraulic transients in lead cooled systems; and (ii) modeling of physical phenomena in steam generator tube rupture accidents which may occur in lead cooled faster reactors (LFRs).
Deadline : 12.Jul.2023
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in molecular biophysics
We seek a doctoral student to develop new methods to describe, manage and organize molecular data, in particular for molecular simulations. The division of biophysics at Science for Life Laboratory is internationally leading in developing techniques both for molecular dynamics simulation of proteins (GROMACS) and reconstruction of their structure using cryo-electron microscopy (RELION). Large parts of modern research are based on extensive simulations, but we still lack methods to efficiently store, transfer and visualize such data, and not least to describe data in fashions that make it possible to use machine learning and similar methods to automatically compare molecular data. The aim of this project is to develop and implement such methods in some of the world’s most widely used codes, to build common databases to share and exchange molecular data, and use them for comparative studies of proteins.
Deadline :19.Jun.2023
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in extreme conditions by shock wave implosion
The project aims at developing robust, reliable and effective techniques for generation of extreme conditions. Having developed an experimental facility based on electrical wire explosion huge pressures in fluids are to be produced with limited resources available in everyday research environment. A unique integration of approaches and resources in high voltage engineering and plasma physics applications will be applied towards classical problems of compressible fluid mechanics. The project investigates by experiment, computation and theory the major physical properties of imploding shock waves in liquids, offers approaches to enhance efficiency of the focal energy concentration, and studies the behavior of matter at such extreme states.
Deadline :26.Jun.2023
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in machine learning in molecular biophysics
We seek a doctoral student to use machine learning to study structure and function of proteins, in particular membrane proteins. The division of biophysics at Science for Life Laboratory is internationally leading in developing techniques both for molecular dynamics simulation of proteins (GROMACS) and reconstruction of their structure using cryo-electron microscopy (RELION). This project aims to develop new data-drive methods that combine machine learning with molecular simulation techniques, e.g. to predict interactions between atoms more accurately or generate new conformations for molecules by training on experimental data. The project is part of an international research school in collaboration with several other groups, and provides good opportunities to both take classes at several European universities and build your own networks.
Deadline : 19.Jun.2023
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD in Electroactive Cellulose Composites Towards Future Green Devices
The combination of cellulose, not the least nanocelluloses, and electrically conducting materials such as PEDOT:PSS, carbon nanotubes, and 2D materials (e.g. graphene, and MXene) has attracted considerable interest over the last decade for applications in various devices, for example for energy storage, actuators, and sensors. The nanometre dimensions of the particles in combination with their excellent mechanical properties, allowing for a bottom‐up design of different devices, have been the major driving force for this renewed interest in cellulose materials, allowing for the preparation of conducting films and composites. As an extension of using nanocellulose, recent work has shown that also papermaking-grade cellulose fibres can be modified and used as scaffolds onto which functional materials can self-assemble towards advanced composites. However, the mechanism behind the adsorption is not well understood and needs further investigation.
Deadline :31.Aug.2023
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(12) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in LUBFLOW: Liquid-infused surface in flowing fluids
This project is part of LUBFLOW, which is funded by the European Research Council (ERC) and runs from September 1st, 2023 to September 1st, 2028. The primary objective of LUBFLOW is to develop a fundamental understanding of lubricant-infused surfaces in fluid flows, which could have significant implications for various technological applications. We are currently seeking PhD students in fluid mechanics to join the LUBFLOW team. This position provides an exciting opportunity for talented and motivated researchers to work on a cutting-edge research project. 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 : 07.Aug.2023
(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Computational Fluid Mechanics
Turbulent flow has a major impact in many areas of engineering, not least in terms of frictional resistance to vehicles or the efficiency of turbo machines. In the project, we look at how the flow on turbine blades in turbo machines is affected by incoming turbulence and the presence of shock waves, and assess turbine efficiency. The flow is very complicated and we use large simulations on the most powerful supercomputers as a numerical wind tunnel to investigate how the boundary layer – shock interaction and turbulence affect the flow on the surface of the turbine, and analyze the large data sets produced via modern analysis methods. Among other things, we use modern analysis tools from dynamic system theory and signal processing to understand the complex flow. The results provide a detailed understanding of the flow processes and how they can be modeled, something that has direct application to the design of environmentally friendly aircraft with less fuel consumption and more efficient turbo engines.
Deadline : 30.Jun.2023
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in safety-critical autonomous system-of-systems
School of Electrical Engineering and Computer Science invites applications for one doctoral student position in the area of integrated development and verification of safety-critical autonomous systems-of-systems for railways. The goal of the project is to develop a model-based integrated framework that supports multi-view analysis of the safety of autonomous systems-of-systems. It should integrate formal modelling, simulation and machine learning to specify and analyse the requirements and architectures of heterogeneous complex systems, e.g., consisting of trains and autonomous cars interacting with each other at the crossing or train control systems communicating with mobile applications of the users to enhance safety of train passage. We aim at building a digital twin that would allow us to study different scenarios using simulation, analyse various architectural solutions and verify their properties as well as create safety monitors and decision-making components allowing the system to learn safe behavior and adapt at run-time.
Deadline :26.Jun.2023
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student Cyber Security
The doctoral work will be done as part of research project ”CHAINS: Consistent Hardening and Analysis of Software Supply Chains”. Project CHAINS has been granted to KTH by the Swedish Foundation for Strategic Research, for 32M SEK.
Deadline :10.Aug.2023
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate) in spatial analysis of ecosystem services
The goal of the research area is to develop methods and tools for analysis of the urban green structures and its ecosystem services linked to micro climate on different scales, within the project Stockholm Heat, financed by Senseable Stockholm Lab. Within the project we analyse the role of vegetation for mitigating urban heat islands, which affect people’s health. We are looking for a doctoral student with the research task to develop methods for spatial and quantitative analysis of this type of urban ecosystem services. This includes handling big and to some extent opportunistically gathered data. The analyses are developed in collaboration with researchers that gather big data on micro climate extremely high spatial and temporal resolution, and hyper-local data on vegetation. The methods will ultimately develop into planning support for urban planning of green structures and related ecosystem services.
Deadline : 19.Jun.2023
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(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Pointwise Maximal Leakage Privacy Mechanism Design
The overall goal of this project is to develop efficient data disclosure mechanisms with operationally meaningful and provable privacy guarantees. Privacy concerns often hinder data sharing, but having a provable privacy guarantee allows for a thorough privacy risk analysis, as required by GDPR, and thereby enables privacy-preserving data sharing. Pointwise maximal leakage (PML) is a statistical inference measure, whose foundation makes it explainable so that it can be easier incorporated in privacy risk analyses. The definition of PML is also more flexible than differential privacy to incorporate prior domain knowledge, which prevents privacy mechanisms to be overly conservative and thereby unnecessarily diminish utility. Thus, using PML for privacy-risk assessments and privacy-by-designs will simplify legal assessment due to its operational foundation and its flexibility will enhance utility by better adapted privacy mechanisms.
Deadline : 19.Jun.2023
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in (licentiate) in geotechnical engineering
We are searching for a doctoral student to the Division of Soil and Rock Mechanics. The work tasks are related to doctoral studies leading to a Licentiate degree, if the study plan is followed. The studies are connected to the research project “Developed compaction control for future quality assurance”. Compaction is most common ground improvement method and is used extensively in construction of roads and railways. An important part of the process is to quantify and verify the compaction result. However, the current methods for acceptance control of compaction are ineffective and uncertain. This project aims to develop the continuous compaction control (CCC) technique to better correlate with tests like Plate load tests (PLT) and thus decrease the need of manual acceptance control. Machine development moves more and more toward automatic adjustment of compaction. The work tasks include a series of full scale tests in the roller manufacturer Dynapac´s road laboratory, evaluation of measurement data, numerical calculations, writing scientific articles, taking postgraduate courses, and teaching. The project is a collaboration between KTH, the roller manufacturer Dynapac and the civil engineering company Peab, and funded by The Swedish Transport Administration, The Development Fund of the Swedish Construction Industry and Dynapac.
Deadline : 11.Aug.2023
(19) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Software Engineering
Automatic program repair attempts at modifying computer programs to fix existing errors. In learning-based approaches, neural networks are functions which take as input a textual representation of the program and output a patch. These functions are composed of several parameters which are modified using back-propagation to achieve the desired goal. In this project, we will study the feasibility and applicability of repairing smart contract programs. The Ph.D. candidate will work towards this goal by conducting research on machine learning on code and program repair. The candidate will join a group of researchers working on related topics, and is expected to bring expertise in the areas of program repair, smart contracts and machine learning.
Deadline : 17.Jun.2023
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(20) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. Student in Optimization of Electric Railway and Smart Energy Hub
Moving towards climate neutral society, railway is going through electrification. To enhance the energy efficiency and reduce CO2 emission of electrical railway systems, it is promising to integrate energy storage system and develop advanced energy management systems with goals of 1) environmental benefits, 2) increased economic profit and reduced operation cost, 3) minimized grid impact as well as enhanced grid reliability and stability under decarbonization. The objective of this project is to develop and integrate innovative solutions (including the use of energy storage system, formation of an energy hub with renewable energy, active participation in electrical grids, optimisation and management tools) into the legacy railway system, to improve and enhance the infrastructure traction power supply. The PhD candidate working in this project will develop advanced optimization tools for electrical railway systems, and energy management systems for smart energy hubs.
Deadline :30.Jun.2023
(21) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in proton therapy planning using photon-counting x-ray CT
Photon counting spectral CT is now revolutionizing medical x-ray imaging, and at KTH we are at the forefront of this research (homepage). We are looking for a PhD student for developing methodology for using photon-counting CT to predict dose distributions in proton therapy. We will use physics modeling, machine learning and experiments in collaboration with industry and healthcare, with the aim of improving cancer treatment.
Deadline : 20.Jul.2023
(22) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Secure Software and Microarchitectures
Vulnerabilities like Spectre provide alarming evidence that the root of trust of our digital technologies is fundamentally insecure. The security and effectiveness of existing countermeasures is unknown, since they are motivated by informal arguments. In fact, new vulnerabilities that exploit new microarchitecture features or corner cases easily circumvent the countermeasures. The Division of Theoretical Computer Science is looking for a candidate with a strong background and interest in security, formal methods, and software analysis. The successful candidate will join a WASP project on developing theories and models for information flow properties of computer architectures, solid formal justification for existing and new countermeasures, tools to analyse secure next generation software and hardware.
Deadline : 14.Jul.2023
(23) PhD Degree – Fully Funded
PhD position summary/title: Doktorand i Datalogi med specialisering i robotik, perception och lärande
Detta projekt syftar till att utveckla metoder för att modellera icke-verbal kommunikation från video. Doktoranden kommer att utveckla en integrerad 3D-representation av huvudpose, blickriktning och mikro-ansiktsuttryck, som kan extraheras från höghastighetsvideo, samt djupa generativa modeller för att inferera det underliggande känslotillståndet hos människan från den icke-verbala kommunikationen. Doktorandtjänsten finansieras av WASP och innefattar deltagande i WASPs forskarskola och verksamhet för doktorander, och innebär också samarbete med forskare i perceptuell neurovetenskap vid Karolinska Institutet.
Deadline : 2023-08-07
(24) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in integrated Quantum Photonics in LiNbO3
Integrated photonics involves the miniaturization and integration of various photonic components onto a single chip, to create complex systems with improved performance, reduced size, and enhanced functionality. In this project you will develop enabling technologies for quantum photonics on the emerging LiNbO3 on insulator (LNOI) platform and demonstrate integrated devices for on-chip generation and manipulation of individual and entangled photons. Your work shall encompass advanced nanofabrication, integrated photonic device design, manufacturing and testing of integrated quantum circuits in the Nonlinear and Quantum Photonics group at KTH AlbaNova, led by Prof. Katia Gallo. The position is supported by the Wallenberg Center in Quantum Technology (WACQT), a 12-years, 1 billion-SEK initiative with the purpose of advancing Swedish academia and industry to the forefront of quantum technology. WACQT is committed to promoting career development, diversity and gender equality through networking and supporting activities.
Deadline : 28.Jun.2023
(25) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in quantum key distribution
Continuous-variable quantum key distribution (CV-QKD) is a well-established technology to distribute secret keys, with several similarities with coherent optical communications, but requiring special consideration of noise aspects and advanced knowledge and engineering skills in the generation, manipulation and analysis of squeezed states of light. Within this project you will investigate the integration of CV-QKD into a metropolitan network and contribute to the development of novel solutions for long-distance quantum communication, such as twin-field QKD. You will work in the Nonlinear and Quantum Photonics group at KTH AlbaNova, leading experiments on quantum photonic devices and systems for information and communication technologies. The position is supported by the EuroQCI National Quantum Communication Infrastructure in Sweden (NQCIS) and the Wallenberg Center for Quantum Technology (WACQT), a 12 years’ initiative with the purpose of advancing Swedish academia and industry to the forefront of quantum technology.
Deadline : 28.Jun.2023
(26) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Molecular Genomics
As a PhD student in Molecular Genomics, you will investigate genome organisation, mechanisms of transcription and cellular responses. You will use and develop advanced biochemical methods and data analytical tools, including Precision Run-On sequencing (PRO-seq), ChIP-seq and ATAC-seq based genome-wide assays. The successful candidate will take a strong lead on planning and performing original research in the fields of cell and molecular biology, genomics, and gene technology. You are driven and motivated to understand how transcription is orchestrated at genes and enhancers, and how developmental processes, rapid cellular responses and transcriptional memory are mechanistically regulated. The Molekylar Genomics laboratory is part of Science for Life Laboratory (https://www.scilifelab.se/)
Deadline : 29.Jun.2023
(27) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Underwater Robotics and Machine Learning
Sub-sea surveying and inspection is undergoing a transition from ship based and ROV sensor platforms to autonomous underwater vehicles, AUVs. This specific position involves high resolution underwater change detection using AUVs.
- How can multiple sensors and sensor viewpoints be combined into fused representations that allow data registrations?
- What are the trade-offs between data-driven and physical sensor models with regards to generalizability and accuracy of the resulting representations?
Deadline : 07.Jul.2023
(28) PhD Degree – Fully Funded
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 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 : 22.Jun.2023
(29) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Biomedical fluid mechanics
Within the Biomedical flows group within the Department of Engineering Mechanics we focus on blood flow phenomena, blood clot formation and bleeding in artificial life-supporting devices such as heart-and lung machines and in components such as blood pumps and cannulae, but also on formation of atherosclerosis in patient related geometries. The cross disciplinary work carried out within the group is computational and experimental and is carried out in close collaboration with clinic. We have now the opportunity to expand our research group with one more PhD student having a background in engineering physics, applied mathematics or mechanical engineering. We seek a PhD student that is highly motivated by cross disciplinary (medical technology) work where the focus will be directed towards understanding blood clot formation in artificial components and in our circulatory system important to improve patient treatment, particularly focusing on intensive care and renal medicine, mainly using numerical methods.
Deadline : 30.Jun.2023
(30) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in theoretical condensed matter physics
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) Machine learning and data informatics 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) https://omdb.mathub.io at Nordita.
Deadline : 13.Jul.2023
(31) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in coupled hydrogeochemical processes under dams
The Department of Sustainable Development, Environmental Science and Engineering is seeking a highly qualified candidate to pursue a 4-year PhD project, generously funded by the Swedish Centre for Sustainable Hydropower. This project is conducted in collaboration with partners from Luleå University of Technology, Fortum, and Vattenfall. The objective of this project is to enhance dam safety through an improved understanding of the interplay between groundwater flow and geochemistry, and the resulting impact on cement grout degradation under hydropower dams.
Deadline : 30.Jun.2023
(32) PhD Degree – Fully Funded
PhD position summary/title: PhD student in applied mathematics for electromagnetic design for antennas
The research group, led by Professor Lars Jonsson, is dedicated to developing state-of-the-art designs, algorithms, and solutions for challenging design problems in array antennas, filters, and sensors. We use and develop mathematical theories, optimization tools, and computational realization to create innovative solutions that are often validated through measured prototypes. Our research is conducted in collaboration with industrial partners. Currently, we’re focused on accelerating the extraction of properties of large systems by utilizing inherent ‘sparse’ properties as identified by model order reduction and energy passive (Herglotz-Nevanlinna) representations. We’re exploring ways to improve the energy efficiency of GHz-frequency array antennas for communication and sensors with effective evaluation of electromagnetic properties of solutions to the exact covering problem. As well as determination and optimization of mutual coupling in large array systems to ensure interoperability between arrays. The research is expected to have both a strong theory component as well as a validation of the results, aiming to push fundamental boundaries of what is possible in electromagnetic design.
Deadline : 28.Aug.2023
(33) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Biomaterials for carbon anode in aluminum production
Aluminum is one of the world’s most widely used and recycled metals. Commercial primary aluminum manufacture involves reducing alumina to aluminium in a reduction/electrolysis cell. This process is achieved by running electricity between a negative cathode and a positive anode, both made of fossil carbon. The process is highly energy intensive, requiring 13,500-15,000 kWh per ton of aluminium. For the gas-powdered aluminum smelters of Europe, the corresponding carbon emission intensity is estimated to be 4-10 tons of CO2 per ton of aluminium. The secure supply of carbon anodes and the associated emissions from carbon anode consumption serve as the remaining major challenge for aluminium production. Europe, especially the Nordic region, is rich in forest resources. Developing biomaterials derived from biomass as alternative sources of anode raw materials is ideal, which can avoid CO2 emissions from anode consumption.
Deadline : 18.Aug.2023
(34) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Industrial Economics and Management
The Ph.D. student will perform research in a project financed by the EU Horizon program (MultiClimact). The project investigates built environments and related future materials, and technical solutions to respond to extreme climate events. The Ph.D. student will identify critical supply chains that have to adapt to these strategies, hence, ensuring continuous replenishment in a resilient and sustainable manner. The project will collect data and develop models from demonstrators in the EU, e.g., Spain, Italy, and Latvia, where stakeholders have taken a leading role in ensuring a sustainable and resilient transformation. The research will take place under the supervision of Associate Professor Luca Urciuoli. The doctoral student will collaborate with a team of one senior and one Ph.D. student from the KTH School of Architecture and Built Environment, and is expected to work primarily with quantitative methods, e.g., statistical analysis, modelling, simulation, etc.
Deadline : 29.Jun.2023
(35) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in AI for medical image analysis
The student will work developing AI models for medical image analysis in a collaborative project with AstraZeneca. The research will focus on generative models and multimodal fusion.
Deadline : 29.Jun.2023
(36) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in tools for the bioproduction of adeno-associated vectors for gene therapy
The focus of the project is adeno-associated virus bioproduction in bioreactor for gene therapy. The purpose is the development and optimization of an intensified process using an established human cell line for the production of these viral vectors, where intensification is obtained by high cell concentration in perfusion operation, with support of process analytical technology, modeling and / or omics tools. The project will be carried out at KTH in Chotteau’s group, Cell Technology group, CETEG, leader in high cell density perfusion for the production of biopharmaceuticals, within AdBIOPRO, interacting with the Centre’s academic and industrial partners. AdBIOPRO, Competence Centre for Advanced BioProduction by Continuous Processing, is an interactive Competence Center with high focus on multidisciplinary collaboration within academia and industry.
Deadline : 07.Jul.2023
(37) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in deep generative models for cancer research
The aim of this project is to explore the possibility of employing VAEs, or other deep generative models, in the setting of somatic cancer evolution and Bayesian phylogenetics. By doing so, the successful applicant will simultaneously contribute to two highly impactful scientific fields: computational biology/cancer and approximate Bayesian inference in deep learning.
Deadline :16.Oct.2023
(38) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in Multimodal generative models for graph data
The broader project is related to training multimodal data including graphs that aim to generate graphs or other modalities – with applications to Biology, Medicine, Energy/Telecoms etc. The prior work of the supervisor in the area (see here) will support futher achievements in this field.
Deadline : 04.Jul.2023
(39) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in learning for autonomous robots
Three fully funded doctoral student positions are available in a new robotics research group at KTH that will explore how to adapt recent advances in AI/ML to improve the capabilities of real autonomous robots in real-world workplaces and public spaces. Autonomy requires a high level of robustness and real-time computation. The students will focus on one of the following research directions:
Deadline : 15.Aug.2023
(40) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Heatpump Integrated Energy Storage for Heating/Cooling
We aim to investigate the potential of using PCMs in combination with underground thermal energy storage (UTES) and heat pumps for accelerating heating and cooling transition. Here we will perform technical-economic analysis of existing energy storage systems. The three goals are: Monitoring ongoing projects with key performance indicators in different climate regions; development of integrated UTES with PCM with optimized control strategies to cover both short/long term storage; and business cases development with environmental and economic sustainability considerations. During the work, the PhD candidate is expected to have international cooperation with EU partners and nationally. The final outcome of this project will serve as benchmark for other thermal energy storage projects and will be published in both scientific and popular science journals with a final dissemination workshop.
Deadline : 19.Jun.2023
(41) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Robotics
The position is at the Division of Robotics, Perception and Learning | KTH with Jana Tumova’s research group that focuses on designing planning, decision making, and control algorithms to enable safe, purposeful and trustworthy autonomous behavior. The core of our approach is the use of formal methods-inspired techniques that allow for rigorous specification of a rich set of goals, constraints, and preferences, and automated synthesis of plans, policies, and controllers with performance guarantees. We utilize them in applications ranging from autonomous driving, exploration with UAVs or navigation around people, to network control.
Deadline : 15.Aug.2023
(42) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Brain-Inspired Hardware on FPGAs
We are seeking a Ph.D. student that will work on a project that focuses on creating brain-inspired systems and applications on Field-Programmable Gate Arrays (FPGAs), funded by the Swedish Research Council (VR). The Ph.D. student will work with several aspects of brain-inspired systems, including their design, benchmarking, and evaluating them. The Ph.D. student will also explore emerging technology (e.g., 3D stackable memory) as well as novel applications (e.g., BCPNN) in order to quantify the performance improvements and power consumption benefits of future brain-inspired systems. The student is expected to disseminate research results in top-tier international journals and conferences. In addition, the Ph.D. student will actively participate in department and group activities (such as seminars, courses, and conferences) as well as participate in teaching.
Deadline : 31.Aug.2023
(43) PhD Degree – Fully Funded
PhD position summary/title: Doktorand (licentiat) inom speciell fastighetsrätt
Syftet med projektet är att rättsvetenskapligt analysera på vilket sätt ett eventuellt hot mot Sverige skulle påverka processen för att fastställa, registrera och sprida information om ägande, värde och användning av mark och dess resurser. Doktoranden ska genom en rättsvetenskaplig och komparativ metod analysera t.ex. faktorer eller förhållanden som kan allvarligt hota, skada eller försämra Sveriges möjligheter att upprätthålla ett tillförlitligt system beträffande fastställande och registrering av ägandet och användningen av marken och dess resurser; vilka åtgärder Finland, Estland, Lettland och Litauen vidtagit för att motverka att processen för att fastställa och registrera ägande och användningen av mark vid höjd beredskap eller i händelse av ett militärhot påverkas eller manipuleras; eller vilka åtgärder Ukraina infört på det nämnda området med anledning av det aktuella läget?
Deadline : 2023-06-19
(44) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Behavioural change and gamification in transport
With a focus on sustainable transport the doctoral candidate will contribute in developing a thorough and multifaceted understanding of the theories of behavioral change critically reflecting on the development, successes and failures of interventions in travel demand management and in motivating sustainable (travel) behavior as applied to date. The role of gamification and incentives will be explored in extensive detail with efficient living lab designs. Empirical evidences will be documented in scientific publications and disseminated with stakeholders beyond academia. The candidate will work on several European innovation projects, collaborate with other doctoral students in the group studying accessibility planning as well as partners in Sweden and abroad.
Deadline : 29.Jun.2023
(45) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Accessibility and Equity in Sustainable Transportation Planning
Planning for accessibility is principal to this research project building on what it means for planning for sustainable transport and regions built around the key concepts and sole purpose of ensuring accessibility to employment, education and services? Also how accessibility differs in its meaning and effects for different sections of the population, e.g. for children and young adults? We will populate key indicators and indices to accessibility to education and employment with sustainable transport options, bicycling in particular. Empirical evidences will be documented in scientific publications and disseminated with stakeholders beyond academia. The candidate will work on several European innovation projects, collaborate with other doctoral students in the group studying behavioural change and gamification interventions as well as partners in Sweden and abroad. When studying for a licentiate degree, the total period of employment may not be longer than full-time for two years.
Deadline : 29.Jun.2023
(46) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student 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 : 04.Sep.2023
(47) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in High Performance Computing
The goal is to investigate the potential of new programming models for exploiting new hardware architectures in HPC with the aim to balance programming effort and achieved performance as the complexity and diversity of architectures increases.
Deadline : 19.Jun.2023
(48) PhD Degree – Fully Funded
PhD position summary/title: PhD in AI enhanced optimization of power grids with electric vehicles
Driven by the environment concern and sustainable requirement, electric vehicles (EVs) have attracted global attention as they provide more environmentally friendly transportation. However, the large-scale utilization of EVs will greatly increase the electricity consumption in the grid. If charging of EVs are not managed, it will pose significant impact on grid and require expensive grid reinforcement. On the other hand, vehicle to grid (V2G) and smart charging will provide opportunities to minimize grid impact and provide grid support for smooth integration of EVs. Moreover, traffic flow and travel requirements of drivers/customers also have impact on the charging demand. The aim of this project is to achieve optimal and secure operation of future electrical power grids with a high share of EVs considering the impact of traffic flow and drivers’ requirement. This project will hire 1-2 PhD students. Based on students’ expertise, it can be directed to the development of advanced optimization algorithms, or the design/implementation of AI/deep reinforcement learning algorithms to achieve the optimal operation of power grids with EVs, or the hardware development of EV charger (dual active bridge converter) with optimal charging control.
Deadline : 30.Jun.2023
(49) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Enzyme design and synthesis driven by CO2 and light
With a growing population and a reduction in the available natural resources on our planet, there is a great need for an innovative way of producing sustainable chemicals. The main purpose of this research project is to develop methods for sustainable enzymatic production of added-value chemicals driven by CO2 and LEDs. The position is an opportunity to join the enzyme design and engineering team in Syrén’s group to develop new-to-nature biotransformations by designer enzymes. The research area includes enzyme discovery, sequence-based enzyme design, ancestral sequence reconstruction and development of chemoenzymatic cascades, enzyme technology. Tools for in silico enzyme design will be used to generate designer enzymes that will then be employed in synthesis involving photocatalysis and CO2 for applications within platform chemicals, materials and additives. The work will be placed at the School of Chemistry, Biotechnology and Health at KTH.
Deadline : 31.Aug.2023
(50) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in communication networks and machine learning
Machine learning solutions have matured tremendously lately, but we still do not know how to learn efficiently when data and agents are spread out over large physical areas. This scenario is not uncommon, think about all the health monitoring devices we wear, or monitoring traffic in a city or crops growing on the fields. Since agents in this case need to be connected through communication networks, like 6G or software defined networks, machine learning and network design need to advance together.
Deadline : 15.Aug.2023
(51) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Power electronics
A fossil-free society requires that important industrial processes and specific transports are provided with hydrogen. Great amounts of hydrogen have to be produced and it has to be made using renewable electricity. This electricity is often produced at great distance from hydrogen consumption centers, which indicates that high-voltage direct current supply is a reasonable solution. As electrolyzers are supplied from a low voltage, a modular technology converting very high direct voltages to comparably low voltages is necessary. No such technology is available today, and the project, therefore, will search for realistic solutions providing high energy efficiency and cost efficiency. As Hitachi Energy is part of the project group, a fortunate project may lead to a product development, and a strengthened Swedish industry on an enormous market.
Deadline : 10.Jul.2023
(52) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Power electronics
The variability of renewable energy sources and the localization, for instance offshore or in remote sites in the society, requires a grid that can handle large power variations over large distances. If our society should exploit as much renewable energy as possible highvoltage direct current (HVDC) grids will be necessary. This grid will have different voltage levels as different parts of the grid will be interconnected at different instants in time. In order to control the power flows between the voltage levels DC-DC converters will be necessary. The solutions that are available today are costly and voluminous. The latter is a big drawback if the equipment is located on an offshore platform. The project aims at generating new knowledge on how to design DC-DC converters for HVDC grids such that the highest possible energy efficiency, compactness, and cost-effectiveness can be achieved.
Deadline : 19.Jun.2023
(53) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Under-supervised Deep Learning for Visual Recognition
Deep networks have been repeatedly proven to benefit from large amount of labelled training data. Collecting high-quality labelled data, at Google scale, is prohibitively laborious and expensive for most societal bodies and industrial sectors. In this project, the prospective candidate will work on unifying methods for undersupervised learning which includes semi-supervised, weakly-supervised, and noisily-supervised learning techniques. The doctoral student will be hired at Hossein Azizpour’s group at the division of robotics, perception and learning and the project is in collaboration with a twinning candidate at Aalto university in the group led by Juho Kannala. The postdoc position is funded by WASP (wasp-sweden.org) and is anticipated to involve two concrete applications in medical image analysis and autonomous driving.
Deadline : 26.Jun.2023
(54) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student inHuman-Centered AI for video games
This project addresses the question of how to elicit and incorporate human feedback in the development of autonomous agents, with a specific focus on the design of believable Non-player Characters (NPCs) in video games. While NPCs typically follow pre-scripted actions or dialogue that can affect gameplay, the gaming industry has a large interest in using AI to increase the autonomy and believability of these characters. We aim to make the following contributions:
- Develop novel algorithms that can align human feedback with existing models in an efficient manner. This includes (a) extending existing active and preference learning methods for determining which queries to elicit human input to maximize learning, as well as (b) developing novel human-machine interaction modalities to elicit feedback and obtain as much information as possible from each query.
- Establishment of appropriate benchmarks for evaluating subjective aspects of the learned behaviors (e.g., believability, congruency with the character type/context, etc.), beyond the typical metrics used in task-oriented learning.
- Demonstrate and evaluate our approach with real human feedback in scenarios that can highlight the significance of the developed methods beyond gaming applications.
Deadline : 01.Sep.2023
(55) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Applied Mathematics (spec. Mathematical Statistics)
In this doctoral project we will focus on problems at the intersection of probability theory, stochastic analysis and optimization with bearing on financially motivated problems. Mathematically, part of the project will focus on the study of optimal transport problems featuring stochastic constraints, on so-called measure-valued martingales, and on the usage of stochastic control theory for handling such problems. The key goal is to identify, address and solve problems in mathematical finance that arise when studying pricing, hedging and optimal investment under additional constraints and under lack of information. The precise scope and format of the project will be formed and adjusted in collaboration with the successful candidate. Interested candidates are advised to visit my homepage to familiarise themselves with my research interests.
Deadline : 14.Jul.2023
(56) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in mathematical statistics
The Department of Mathematics at KTH is looking for candidates for two PhD positions specializing in mathematical statistics. The research area lies at the intersection of probability, computational statistics, machine learning and AI. One of the projects is funded the Swedish e-Science Research Centre (SeRC).
A wide range of applications in data science are based on large-scale statistical computations. These computations can be made efficient by well-designed algorithms suitable for parallel computing. In one of the projects, we will explore statistical learning algorithms from a mathematical perspective, using techniques from large deviations theory to quantify convergence properties of the algorithms. In the second project we will study how deep neural networks and other deep function approximations may be used to design efficient statistical computational methods. The projects are suitable for students interested in topics and methods such as large deviations theory, statistical learning, Bayesian statistics, Monte-Carlo methods, and deep learning.
Deadline : 23.Jun.2023
(57) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Smart Visual Model Learning
We need new ways to explain and understand the behavior of smart contracts, which are small programs that run on blockchains and handle assets worth billions of Euros. SmartVis will achieve this by learning, modeling, and visualizing their detailed behavior. This is possible by extending our previous award-winning work with new technologies (LearnLib, Graphviz, and Eclipse Trace Compass) to build a full modeling and visualization framework.
Deadline : 16.Aug.2023
(58) PhD Degree – Fully Funded
PhD position summary/title: Ph.D in algorithms and architectures for high-performance machine-learning
This research project aims at developing fast, scalable and resource-efficient methods for machine learning in wireless systems. The research includes algorithm development, mathematical analysis, implementation and performance evaluation. Working together with experts in wireless communication, we will investigate how machine learning algorithms and communication systems can be improved and re-designed for unprecedented efficiency.
Deadline : 15.Aug.2023
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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