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 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
(02) 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:
Deadline : 01.Sep.2023
(03) 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
(04) 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.
(05) 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
(06) PhD Degree – Fully Funded
PhD position summary/title: PhD in computer vision applied to modeling of non-verbal communication
In this project we will develop methods for modelling non-verbal communication from video. The doctoral student will be responsible for developing a 3D embodied, integrated representation of head pose, gaze and facial micro expression that can be extracted from high-speed video, as well as deep generative models for inferring the latent emotional state of the human from the non-verbal communicative behavior. The position is financed by WASP and entails participation in the WASP doctoral school and activities for doctoral students, and also involves collaboration with researchers in Perceptual Neuroscience at the Karolinska Institute.
Deadline : 29.Aug.2023
(07) 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. The Ph.D. project has several possible research directions aiming towards a better understanding of the effective electromagnetic design as governed by Maxwell´s equations. The direction within the project will be determined in collaboration with the Ph.D. candidate. Join us and be a part of a paradigm shift in electromagnetic design that is changing the way we think and do things.
Deadline : 28.Aug.2023
(08) 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
(09) 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 : 17.Aug.2023
(10) 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
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(11) 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. Our group teaches and produces cutting-edge research in VAEs, VI and approximate Bayesian inference in general (e.g., sequential Monte Carlo, MCMC, importance sampling). We are especially interested in the development of inference methods for phylogenetics and single-cell data. As such, the group provides a fertile environment for the Ph.D. student’s development. Additionally, the group has an excellent national and international network, including both methodological and cancer-research groups. This project is funded by WASP, as such the Ph.D. student will be a part of the WASP Graduate School, which is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. The WASP Graduate School assists in forming a Strong Professional Network and its curriculum provides the foundations, perspectives, and state-of-the-art knowledge in the different disciplines taught by leading researchers in the field. The WASP Graduate School provides added value on top of the existing PhD programs at the partner universities, providing unique opportunities for students who are dedicated to achieve international research excellence with industrial relevance.
Deadline : 15.Aug.2023
(12) 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. The PhD position is a part of the research project “Turning the Air into an AI Computer”, supported by the Wallenberg foundation’s program on “Research projects with high scientific potential”. The project will give you an opportunity to work closely with PhD students and faculty in participating groups at KTH and Linköping University.
Deadline : 15.Aug.2023
(13) 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. Our group at KTH already contributes to this area, focusing on wireless network design for distributed learning. In our research we combine areas of stochastic modelling, algorithm design, machine learning and network protocol design from physical to application layers. The doctoral student accepted for this position will work in the same area, with a specific focus on machine learning over distributed network infrastructures. The position is coupled to our projects on monitoring large scale critical infrastructures and cyber infrastructures
Deadline : 15.Aug.2023
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Robotics
We look for a doctoral student to join project PerCorSo that works towards perceiving and communicating correct-by-design socially acceptable autonomous systems. The goals of the PhD students will be to develop task and motion planning algorithms that aim to achieve provably and perceived safety through research at the intersection of formal methods and human-robot interaction. 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
(15) 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
(16) 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.
Deadline : 15.Aug.2023
(17) 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 : 11.Aug.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 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 : 10.Aug.2023
(20) 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 : 10.Aug.2023
(21) 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
(22) 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. Finally, the difficult problem of optimal pricing in electricity markets with nonconvexities will be investigated using the suggested nonconvex optimization technique(s). We expect that the developed theoretical results offer promise not only for solving the AC OPF and its variants, but they provide a strong alternative approach to solve nonconvex optimization problems.
Deadline : 10.Aug.2023
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD in High Voltage Engineering
The purpose of the project is to study insulation systems for high voltage power transformers that are based on a new type of biodegradable and sustainable manufactured insulation liquid, i.e. not based on traditional mineral oil. The project will specifically focus on ageing processes of the transformer insulation system based on cellulose and the new sustainable insulation liquids. The project is part of KTH’s strategic collaboration with IIT Madras in Chennai, India and the doctoral candidate is expected to stay in total a period of 12 months at IIT Madras. The period can be divided into shorter period, depending on the need from the project. Within the project there will also be collaborations with leading transformer manufacturers and utilities of power transformers. Suitable candidates has a background in electrical engineering or engineering physics with a large interest in performing physical experiments with applications towards high voltage engineering. Write short and concrete about the project based on what attracts the candidates and what they want to know about the project, department and tasks. Please link to more information
Deadline : 07.Aug.2023
(24) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in LUBFLOW: Liquid-infused surface in flowing fluids
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
(25) 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 : 31.Jul.2023
(26) 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 : 31.Jul.2023
(27) 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 : 31.Jul.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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