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 focusing on machine learning and 3D mammography
Tomosynthesis is a promising 3D modality for diagnosing breast cancer. Deep learning is the most successful form of artificial intelligence (AI). The aim of this project is to utilize a unique database of tomosynthesis and mammography images and new methods in deep learning to create novel diagnostic tools for breast cancer. The position offers good opportunities to gain deeper knowledge of recent techniques in deep learning such as generative adversarial networks (GAN), spherical convolutional neural networks or normal appearance autoencoders, a method developed in our group, in addition to explainable-AI and uncertainty quantification methods. The selected candidate will be part of the EU-funded European Training Network consortium BosomShield. That includes access to educational and career development activities from the network and several secondment visits to the partners.
Deadline : 29.Sep.2022
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (lic) Bio-based composite materials for sustainable roads
We are looking for a doctoral student for a licentiate in highway engineering. In the project, we want to investigate the applicability of lignin in asphalt. Our target is to study lignin-modified asphalt mixtures through a synergetic combination of 3D imaging techniques, based upon X-ray and neutron radiation sources, multi-scale chemo-mechanical testing, and computational modelling. The work is carried out in close collaboration with several partners in Europe and requires very good ability to work independently. Tests campaigns in several facilities will be carried out (Lund University in Sweden, ILL in France, PSI in Switzerland).
Deadline : 19.Sep.2022
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (lic) in dynamic train-track-bridge interaction
This PhD-project will focus on the dynamic interaction of the coupled train-track-bridge system with application to freight traffic. The work will involve theoretical studies and simulations as well as processing larger quantities of collected data. The aim of the project is to increase the understanding of dynamic effects on bridges caused by freight traffic, especially related to track irregularities.
Deadline : 10.Oct.2022
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in applied mathematics for electromagnetic design
Electromagnetic design is in the process of a paradigm shift. This project is a part in this effort with the goal of changing how we think and do electromagnetic design. In the project we will use and develop mathematical tools to solve difficult and challenging design problems, mainly with the focus on array antennas, filters and sensors. The PhD-studies will contain a combination of complex analysis, optimization in for example sparsity, scientific computations, quasi-christal patterns and active systems. The aim of the project is both to obtain fundamental limitations of the investigated system as well as realization that are close to the obtained limitations. This implies that a combination of tools are required, including the development of applied mathematics theories, optimization connected with the development of numerical computations as well as validation of the results within the area of electromagnetic design. An area where the above outlined ideas will be tested is connected to improving the energy efficiency of communication and sensor technology for the next generation technology.
Deadline : 17.Oct.2022
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(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Synthetic biology to enhance carbon conversion in cyanobacteria
This Ph.D. position is in the Division of Systems Biology, part of the Department of Proteomics. The group of Paul Hudson does research on bacteria that fix carbon dioxide, such as cyanobacteria. Cyanobacteria in particular are also models for carbon fixation in plant chloroplasts. This project will develop and apply new synthetic biology methods with the aim to enhance the rate of carbon fixation and conversion in cyanobacteria. Such methods include, for example, CRISPR/Cas gene editing, dynamic enzyme regulation, as well as screening of genetic libraries. The project will also use systems biology techniques, such as genomics and proteomics, to achieve these goals. The project is part of a consortium exploring microbial production of food ingredients. The student will work with postdocs and there is the possibility for visits to collaborating laboratories. The project is funded by the Swedish Foundation for Strategic Research.
Deadline : 30.Sep.2022
(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in chemistry
The position will be connected to the EU financed project RADOV, which has the overall goal to extract bioactive peptides from egg proteins, and to incorporate these in advanced functional products. The specific part of the research project associated with this position regards irradiation of the proteins in order to obtain peptide fragments for further biological investigation and treatment. An important part of this work consists of analysis and characterization of the formed peptides using separation techniques like chromatography and capillary electrophoresis, and mass spectrometric techniques like ESI-MS and MALDI-MS. This includes development of analytical methodology and sample preparation. Both theoretical and practical work will occur, but emphasis will be on the experimental performance. Collaboration with other sub-projects within RADOV will be an important part of the work. The accomplished work must meet the demands of RADOV regarding practical goals, reports, and publication.
Deadline : 30.Sep.2022
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(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Diffusion based Causal Representation Learning
The goal of this position is thus to investigate how one can learn causal models of data from a reasonable set of assumptions as well as the experimental design of performing interventions and acquiring interventional data efficiently. In this project, you will be involved in state-of-the-art machine learning research from the beginning and provide you an opportunity to get started immediately with your topic. Our group is one of the few worldwide which successfully combines causality and deep learning with downstream applications from robotics to healthcare.
Deadline : 19.Sep.2022
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Applied Math. within Optimization and Systems Theory
In this project we will focus on two types of problems based on the control objectives and available information: microscopic and macroscopic control. In the former the control objective is to achieve some formation in self-organized way, and modeling and shaping interaction among the agents is possible. In the latter the control objective is given in some statistical sense and modeling and shaping interaction among the agents is not feasible. To study these problems, it is very useful to borrow ideas from non-cooperative game theory in which emergence of the MAS can be tightly connected to Nash equilibria, and to use ideas of controlling moments of a distribution for large scale systems.
Deadline :10.Oct.2022
(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in sustainable and circular urban agriculture
The aim of this project is to explore, develop, and analyze more circular-based production methods for urban-vertical farms. More specifically, the project has the objectives to 1) identify the potential for improving resource efficiency and new product development through more circular use of materials and energy for urban food systems, 2) understand and analyze the implications of circular based production models to improve the sustainability of processing and products, and 3) improve and facilitate knowledge and the development of new synergies for more circular urban food production systems. The PhD student will work within the project to address the aims and objectives while collaborating with different vertical farming companies in Sweden to promote and develop more circular solutions for the industry. The project, titled ‘Improving the resource-efficiency and environmental performance of urban-vertical farms through circular-based production methods,’ is funded by FORMAS.
Deadline : 29.Sep.2022
(10) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. Student in Security and Privacy of IoT applications
The doctoral student will contribute to the project WASP NEST CyberSecIT, a framework project conducted jointly with Chalmers University of Technology and Umeå University to explore the security and privacy of IoT applications, with the emphasis on software and automation. NESTs are flagship projects of the Wallenberg AI, Autonomous Systems and Software Program (WASP).
Deadline : 19.Sep.2022
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in 6G Industrial Wireless Networks
Next-generation 6G cellular systems will provide unprecedented capabilities in order to serve dependable data communication streams, as for example originating in industrial automation. While this application domain has received some attention in 5G, cyber-physical networking capabilities will be at the heart of upcoming 6G systems. This will be facilitated by data-driven methods that can be leveraged in end-to-end contexts providing predictable services.
Deadline : 06.Oct.2022
(12) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in spectral turbulent-wing simulations and experiments
The goal of this project is to use computational-fluid-dynamics (CFD) methods and experiments for the analysis of turbulent flows around wings, with an emphasis on ground-effect applications and bio-inspired geometries.To this end, high-order spectral methods will be employed to perform both well-resolved large-eddy simulations and direct numerical simulations, in order to assess the influence of pressure-gradient, wall curvature and three-dimensionality in the dynamics of wall-bounded turbulence. We are also interested in using experimental methods to validate and extend the conclusions. The researcher will have access to the multi-peta scale supercomputing facilities available at KTH, in conjunction with the Swedish e-Science Research Centre (SeRC, www.e-science.se) and will become part of the excellent research environment FLOW (www.flow.kth.se).Experimental work will be conducted at the high-end testing facilities at KTH and at Nanyang Technological University, Singapore.
Deadline : 19.Sep.2022
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(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in computational thermodynamics
In the proposed project, the newly developed descriptions will be used and extended to model industrially important material phenomena. The so-called CALPHAD methodology will be combined with DFT (Density Functional Theory) and machine learning. You who are applying have a master’s degree, or will get your exam soon, in materials science, materials physics or a related field. You are interested in mathematics and modelling and like problem-solving. You can work independently and in a team.
Deadline : 06.Oct.2022
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in High Temperature Thermal Energy Storage
High-temperature thermal energy storage enables widespread exploitation of renewable energy sources, providing flexibility for tomorrow’s energy system. This PhD project will investigate the performance of advanced thermal energy storage configurations that exploit the use of inexpensive recycled materials and non-toxic and cost-effective heat transfer fluids such as metal slags and air. The work is carried as part of a recently awarded project within Horizon Europe and is to be performed in collaboration with academic and industrial partners
Deadline : 30.Sep.2022
(15) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. In Information theory for stochastic decision problems
In many information processing systems but also machine learning algorithms, the system designer faces distributed decision-making problems. Since not all information is available everywhere, the decisions are taken based on the locally available information to achieve a common goal. Such decision problems have nonclassical information structure and are considered to be notoriously difficult because a general optimal design approach is missing. Quite recently the concept of coordination coding appeared in information theory. It basically describes what statistical relations can be achieved with the support of communications. Initial results show that this concept can be used to derive fundamental bounds for distributed decision-making systems. In this project we will expand those results with the goal to enhance the basic understanding as well as setting the basis for a framework for optimal designs. This new approach will lead to new fundamental insights and it might lead to solutions of long-standing fundamental problems. Moreover, it should be explored how these results can be exploited to understand better and improve machine learning algorithms.
Deadline : 14.Oct.2022
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Student within artificial intelligence for wireless communications
We are seeking one PhD student with a strong background and interest in Mathematics, Optimization, Machine Learning, and Wireless Networks. The following research directions will be investigated:
- Artificial Intelligence for wireless networking.
The PhD project is sponsored by the research project SSF AICOM – Artificial Intelligence for Wireless Communications, a recent major research project that involves leading Swedish universities and scholars. The PhD project will consider Internet of things, smart cars or smart homes, augmented and virtual reality and the metaverse as application domains.
Deadline : 06.Oct.2022
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(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in deep generative models for cancer research
This project aims 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 Ph.D. will simultaneously contribute to two highly impactful scientific fields: computational bio/cancer and Bayesian inference in deep learning.
Deadline : 14.Oct.2022
(18) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. In algorithms and architectures for high-performance machine-learning
This research project will develop faster, more resource-effective and more scalable methods for machine learning and decision-making. The research includes algorithm development, mathematical analysis, implementation and performance evaluation. Working together with experts in computer architecture, we will investigate how machine learning algorithms and computer systems can be improved and radically re-designed for unprecedented efficiency and scalability.
Deadline :06.Oct.2022
(19) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Bridge Engineering – new concepts for high speed tracks
Construction of new and restauration of existing railway lines for higher train speeds demands bridges built with minimized environmental impact. This motivates studies of new design and construction solutions contributing to reduced resource consumption and reduced emissions. The development of fossil free steel has reached far and steel bridges can be made lighter than conventional concrete bridges, which gives positive effects such as reduced transport volumes, easier construction, and less complex foundation arrangements. Further environmental benefits can be attained if weathering steel is used, which do not have to be surface treated and painted over the intended service life.
Deadline : 05.Oct.2022
(20) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate) in controlling building energy systems
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 decentralized renewable systems in the 4th-5th generation of district heating 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 max 20%, i.e., teaching, supervisions of thesis students, etc.
Deadline : 30.Sep.2022
(21) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Biocatalysis: Scale-up for sustainable enzyme chemistry
We are studying a type of industrial enzymes called transaminases and we are now looking for a doctoral student for a new project to explore the stability of these enzymes with protein engineering tools. The stability studies will be integrated with scale-up experiments in the unique infrastructure at Danish Technical University (DTU). We are looking for a candidate with a large interest and experience of applied enzymology, molecular biology and organic chemistry. The work in the project will be carried out at department of industrial biotechnology, KTH, Stockholm, in collaboration with DTU, Kongens Lyngby, Denmark. Some part of the project will be carried out in Denmark. The project is financed by KTH as a part of the development of the collaboration with strategic partner universities.
Deadline : 31.Oct.2022
(22) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Organic Redox Flow Batteries
The increased implementation of renewable energy sources such as solar and wind in the energy system results in an electricity production less adapted to the consumption. A solution is to store energy for shorter or longer periods in batteries. In Redox Flow Batteries (RFB), the energy is stored in tanks with redox-active solutions and not in solid materials as in conventional batteries. The design makes them particularly suitable for medium and large-scale stationary energy storage. Today’s commercial RFBs are based on metal ions typically from vanadium, which is scarce, expensive and toxic. A hot research area is to find more environmentally friendly and less costly organic redox-active substances as alternatives. These must have high activity, stability and solubility in aqueous solution. In the project, various redox-active substances will be investigated by electrochemical methods both in conventional electrochemical cells and in flow batteries. In collaboration with the Department of Chemistry, there is also an opportunity to modify and synthesize new substances and employ characterization methods such as NMR, FT-IR, Raman. We are searching for a person with a deep interest in electrochemistry and batteries who also has a solid foundation in organic chemistry and synthesis. The research will mainly be carried out at the Division of Applied Electrochemistry, Department of Chemical Engineering, KTH.
Deadline : 01.Nov.2022
(23) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Social Robotics
This project addresses the challenge of how to enable robots to learn in a scalable and cost-efficient manner by gradually acquiring new knowledge from non-expert, semi-situated teachers. To achieve this, computational methods will be developed for robots to query the semi-situated teachers (e.g. crowd workers) and incorporate the newly acquired knowledge into their existing decision-making to further use in situ. This project is funded by the Swedish Foundation for Strategic Research.
Deadline : 19.Sep.2022
(24) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Biomedical fluid mechanics
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. Both numerical and experimental work will be carried out. The project’s research questions are strongly anchored in the clinical application and is financed by the European Research Council (ERC). The project will be carried out together with supervisors and members of the research group having both engineering and medical background. The work also includes working with other researchers active both nationally and internationally.
Deadline : 29.Sep.2022
(25) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate) in Remote Sensing and AI for wildfire monitoring
The candidate is expected to participate in a research project entitled “Earth Observation Big Data and Deep Learning for Wildfire Monitoring’. The overall objective of this research is to develop innovative and robust methods and algorithms using Earth observation (EO) big data and deep learning for wildfire detection, progression monitoring and damage assessment.
Deadline : 29.Sep.2022
(26) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Printed Electronics
The doctoral study will be conducted at Division of Electronics and Embedded Systems at KTH. This research focuses on developing printing processes to fabricate sustainable electronic devices. Functional inks will be formulated with emerging materials, such as conductive 2D materials (especially graphene and MXenes), quantum dots, conducting or semiconducting polymers, and polyelectrolytes. Inkjet printing and direct ink writing processes will be developed to directly print the functional inks onto various substrates to fabricate microscale devices for electronics, energy storage, and/or energy harvesting applications.
Deadline : 06.Oct.2022
(27) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in modeling and effect analysis of ship’s dynamics
We envision a starting point in ongoing model and method development for time domain simulation e.g. in direct stability assessment, following the new intact stability code IMO/SGISC. Another part of the seakeeping analysis, anticipated for the research studies, address the motions’ influence on work and mission performance at sea. This includes both modelling of the ship motions as such and how crew responds to them. In addition to numerical modeling, the project is expected to include experimental field studies in collaboration with ship crews and experts in fields such as occupational science. We also see an opportunity to study gender aspects that are sometimes addressed anecdotally in connection with seakeeping analysis but rarely scientifically explored. The perfect background is Naval Architecture with good knowledge in mechanics, hydromechanics, mathematics and programming. In addition, experience and interest in human-machine interaction and its importance for system performance and risk analysis.
Deadline : 03.Oct.2022
(28) PhD Degree – Fully Funded
PhD position summary/title: Ph.D. in Planning and Control for situation-aware multi-agent systems
The school of EECS announces a PhD position within the Horizon-Europe Innovation Council (EIC) project “Symbolic Logic Framework for Situational Awareness in Mixed Autonomy (SymAware)”. The ultimate goal of this project is to develop a framework that enables robots to actively perceive risks in dynamically changing environments and collaborate with other robots and humans to improve their awareness while aiming at fulfilling complex and dynamically changing tasks. The position will involve the topics of multi-agent planning and control, formal methods, and situational awareness with an emphasis on human-in-the-loop. The doctoral student will develop novel algorithms to model the spatiotemporal awareness associated with a team of agents interacting with humans. The student will further design decentralized planning and decision-making algorithms to satisfy formal specifications and minimize the violations from potential task conflicts according to quantifiable robustness metrics.
Deadline : 30.Sep.2022
(29) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in high-speed datacenter networking
Today’s cloud and edge datacenters struggle to keep the pace of multi-100Gbps network interface card. A CPU transmitting 40Gbps of traffic consumes as much as 70% of its cycles, which cannot be used to run any applications. The recent rise of programmable high-speed hardware devices including P4 switches and SmartNICs have opened the doors to massive potential performance gains by offloading networking stacks from CPUs to hardware. Yet, reaping the benefits of such devices is today a largely unsolved problems. For example, multi-terabit per second network devices drop packets depending on specific time patterns.
Deadline : 29.Sep.2022
(30) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Chemical Engineering
In that context, we will create a functional colloid with an (immobilized) enzyme catalyst for CCS – so-called a porous liquid. The goal is to halve the energy footprint compared to MEA and will be resistant and emission-free – thus truly sustainable. The formulation and synthesis work will be done at Stockholm University together with KTH Industrial Biotech. At the department of KTH Chemical Engineering, the work will focus on testing this new material, making a global model for use in simulation. The effort is a collaboration with DTU in Copenhagen, where the doctoral student will be spending some time, and develop a detailed kinetic and thermodynamic model for CO2 separation. This model will use true Michaelis-Menten kinetics and we will follow the procedure established at DTU in previous projects to obtain significant data and quality fitting. We will use the experimental data obtained at KTH and supplement it with dedicated experiments at DTU. Vapor-Liquid Equilibrium data will be modeled using advanced equations of state.
Deadline : 14.Oct.2022
(31) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in Micro and Nanosystems
The Division of Micro and Nanosystems at the KTH School of Electrical Engineering invites applications for two Ph.D. student positions. We are seeking applicants who have a desire to conduct cutting-edge research within the areas of photonic MEMS and/or nanoscale and NEMS relays for logic/electronic applications. In our collaborative project with international partners from the EU, your task will be to develop next-generation MEMS/NEMS devices with dramatically improved, or entirely novel functionalities. As a Ph.D. student in MEMS and NEMS you will be part of an interdisciplinary research team that consists of members with different professional and cultural backgrounds. All projects involve both theoretical and experimental tasks as well as cooperation with other scientific disciplines. Experimental work will be conducted in the KTH micro and nano fabrication cleanroom in Stockholm-Kista and the KTH laser lab. The projects engage several fellow Ph.D. students at MST and are supervised by at least two senior researchers. The projects are conducted in close cooperation with high-profile industrial partners and European universities.
Deadline : 30.Sep.2022
(32) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in spectral urban-flow simulations and deep learning
The goal of this project is to use computational-fluid-dynamics (CFD) methods and experiments for the analysis of turbulent flows in urban environments. To this end, high-order spectral methods will be employed to perform both well-resolved large-eddy simulations and direct numerical simulations, in order to assess the influence of the geometry and inflow conditions on the physics, and the pollutant concentration in the city. We are also interested in using deep-learning methods for non-intrusive sensing, so as to create detailed maps of velocity and pollutant concentration in the city from sparse measurements.
Deadline : 17.Oct.2022
(33) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students 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).
Deadline : 01.Dec.2022
(34) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Wireless Communications
While 5G networks have been deployed, 6G mobile techniques have been investigated and developed recently. To achieve ambitious objectives, (ultra) massive MIMO is considered to be one of key candidate technologies, which can provide high rates and large coverage. This project will investigate the emerging technologies, jointly with massive MIMO such as lens antenna and large intelligent surface. The student will have opportunities to strengthen cutting-edge knowledge in communication, information theory and optimization. The project will be hosted by the Division of Information Science and Engineering.
Deadline : 28.Oct.2022
(35) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Joint Radio and Communications
The PhD research project aims to design and optimize JRC (joint radio and communication) waveforms/sequences and network resources for improved sensing and communication capabilities in beyond 5G (6G) mobile networks. Traditionally, the functionalities of sensing and communications are separate technologies, which lead to low efficiency, long latency, and substantial waste of resources. JRC can simultaneously sense around environments and transmit information messages, especially in high-frequency bands. Thus, the main objectives of the project are to design and optimize JRC with long range and high resolution for radar detection, accurate channel estimation capability, high spectrum and power efficiency, and supporting for multi-user operation and with limited complexity. The project will be a collaboration between KTH and NTU (Nanyang Technology of University, Singapore). The doctoral student will have the chance to collaborate with both KTH and NTU teams.
Deadline : 21.Oct.2022
(36) 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.
Deadline : 05.Oct.2022
(37) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in quantum photonic devices development
Quantum technology offers unprecedented possibilities for entirely new schemes for computation, communication and sensing, holding great promise for drastic improvements in performance and functionality, showing disruptive potential with profound impact on society, markets and everyday life. Quantum optics lies at the heart of these new developments as photons are ideal carriers of quantum information due to high-speed and low-noise propagation. Within this project, we aim at the development of quantum devices for the generation, manipulation and detection of light at the single photon level with high efficiency. The devices will be implemented in real-world applications to demonstrate and assess the advantages of quantum devices. You will develop quantum devices using thin film deposition techniques, electron beam lithography as well as etching and metalization tools. The devices will be characterized and operated in customized optical setups based on cryostats using quantum optics techniques. You will be involved in several international collaborations including research groups in Taiwan and the European Union.
Deadline : 22.Sep.2022
(38) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Electricity Hedge Markets in Nordic Region
Around the world, electricity spot prices tend to be highly volatile, varying both across time and across locations on the network. For this reason, as with many other commodities, financial markets have emerged for mitigating the risk and providing signals to investors.
The market participants who trade in electricity across different pricing areas are exposed to locational basis risk – the difference in the price between the point at which the electricity is injected into the network and the point at which it is withdrawn.
Deadline : 06.Oct.2022
(39) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students Software Engineering and 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 : 22.Sep.2022
(40) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in process metallurgy
The focus of the project is to develop a sampling technique for improving the use of alloys and materials during steelmaking. The developed technique will be deployed in steelplants combining it with modern IoT communication tools.
In the pilot-scale research, computational simulations will be performed with specialized CFD software packages to design the sampler with specific requirements for steel sampling. Along with the modeling work, laboratory investigatons will be carried out to understand the interaction between steel, slag, and refractory and to develop the required tools. In the later stages of the study, comprehensive plant trials at industrial sites will be conducted for further verification.
Deadline : 27.Sep.2022
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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