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 Electric Machine Design
The project contributes to the transition to fossil-free transportation by designing a high-voltage (more than 1000 V) electric machine, consequent to the increased system voltage in battery-powered electric powertrains. By using a holistic view that accounts for the whole powertrain, the development of new materials, and the most recent calculation methodologies, we expect to reach results that can be used for the complete integration of the drive system in a vehicle’s rear axle.
Deadline : 31.Jan.2023
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Power Electronics
The primary objective of the gate driver is to control the power semiconductor devices of the motor inverter such that they switch in an optimal way for maximum efficiency and in order to protect the inverter from internal short circuits and extreme fault cases. A smart gate driver can also perform additional tasks, for instance tailored switching transitions for reduced motor winding stress or condition monitoring of gate threshold voltage, gate leakage, or ON-state voltage drop. Different realizations (for instance with FPGA) should be compared regarding performance and reliability. Advanced signal processing may be necessary and the implementation of this may have to be investigated
Deadline : 31.Jan.2023
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Power Electronics
The position will be located in the power electronics research group within the school of electrical engineering and computer science at KTH. The group carries out research in several fields, notably high-power electronics for power transmission grids, and applications of wide-bandgap power semiconductors. The world today faces a major challenge when it comes to reducing emissions related to the transport of people and goods. Heavy road vehicles contribute 5-7% of total human greenhouse gas emissions and are particularly difficult to electrify due to their long range, high power, and reliability requirements.
Deadline : 31.Jan.2023
(04) 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 : 23.Jan.2023
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Physical chemistry and environmental chemistry
This PhD work is taking place within a new research project, in collaboration between the Department of Chemistry of KTH and the Lightning Research group of Uppsala University, to investigate the effects of different types of lightning discharges on the chemistry of the atmosphere, in particular on the transformations of organic compounds. The PhD work will consist in performing experiments, both at the Lightning Research facility at Uppsala University and in the laboratory at KTH, to characterize the reactions resulting from different types of lightning discharges (products, mechanisms, etc…). The results will allow to identify and quantify the contributions of lightning to atmospheric chemistry and potentially, over long term, on climate.
Deadline : 31.Mar.2023
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Sonic Interaction Design
The project you will work in is funded by the Swedish Research Council and is titled “Personalising sonic interactions”. Today’s digital objects and processes produce information that is often invisible to the user, and sound can play a major role in making this information perceivable. In this context, our individual preferences in sound and music can affect the way we experience designed sonic interactions.
Deadline : 31.Jan.2023
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Sound Computing
The project you will work in is part of the EU MSCA Doctoral Network “Lullabyte” on the effects of music and sound on sleep. The network consists of 10 collaborating institutions combining the expertise of music research, psychology, neuroscience, and computer science. Based on our research on sonic interaction design and sonification, we will develop novel sonic applications that promote healthy sleeping behaviors.
Deadline : 31.Jan.2023
(08) PhD Degree – Fully Funded
PhD position summary/title: Doktorand inom hållbara elkraftssystem
De senaste årens utveckling mot allt mer väderbaserad elproduktion, sammantaget med en allt större integration av elsystemet i Europa har gjort att arbetet i kontrollrummen kommer bli allt mer intensivt. I framtiden kommer operatörerna att behöva arbeta mer aktivt för att säkerställa att frekvensen och spänningen i elkraftsystemet ligger runt nominella värden och därmed garantera att konsumenterna har tillgång till den hållbara el de behöver. Denna angelägna och högaktuella problematik är relevant för dig som vill undersöka hur framtidens kontrollrum för elkraftssystem bör organiseras och hur datorsystemen ska designas för att operatörerna ska få användbara och anpassade interaktiva informationssystem.
Deadline : 2023-02-06
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Reconfigurable Neuromorphic Systems
We are seeking a Ph.D. student that will work on a Swedish Research Council (VR) funded project that aspires to create a new future-looking framework for synthesizing modern neuromorphic hardware on reconfigurable architectures. The Ph.D. student will work with all aspects of the framework, including its design, bench marking, and evaluation. The focus will be on mapping neuromorphic systems onto Field-Programmable Gate Arrays (FPGAs). The Ph.D. student will also use the framework as a method to explore emerging technology (e.g. 3D stackable memory) in order to quantify performance and power-consumption benefits of future neuromorphic systems in the decades to come. 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 within the university programs.
Deadline : 28.Feb.2023
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Machine Learning: Theoretically motivated deep learning
Within the scope of this PhD student position, you will work on and contribute to the research frontier regarding scale-covariant or scale-equivariant deep networks and/or deep networks parameterised in terms of Gaussian derivatives, on specific research topics that we choose together within the scope of the research project ”Covariant and invariant deep networks” that finances this position. The overall goal is to develop new architectures for deep networks that can generalise to scaling variations that are not spanned by the training data, and which can achieve higher robustness to variabilities in test data, as well as enable more efficient training with lower requirements concerning the amount of training data.
Deadline : 30.Jan.2023
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doktorand i Människa-Datorinteraktion
De senaste årens utveckling mot allt mer väderbaserad elproduktion, sammantaget med en allt större integration av elsystemet i Europa, har gjort att arbetet i kontrollrummen kommer bli allt mer arbetsintensivt. I framtiden kommer operatörerna att behöva arbeta mer aktivt för att säkerställa att frekvensen och spänningen i elkraftsystemet ligger runt nominella värden och därmed garantera att konsumenterna har tillgång till den hållbara el de behöver. Denna angelägna och högaktuella problematik är relevant för dig som vill undersöka hur framtidens kontrollrum för elkraftssystem bör organiseras och hur datorsystemen ska designas för att operatörerna ska få användbara och anpassade interaktiva informationssystem.
Deadline : 2023-02-14
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(12) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Polymer Technology
We are looking for a graduate student interested in developing novel biobased polyethylene-like materials with attractive properties and built-in circularity. Ideally the materials will be designed to be both chemically recyclable and fully biodegradable by strategic placement of reversible linkages sensitive to different external triggers. The work will span from polymer synthesis and characterization to testing chemical recyclability and biodegradability. The materials created within this project will contribute to sustainable society by reducing plastics environmental impacts.
Deadline : 06.Feb.2023
(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in Computer Science
The doctoral students will work on the software ecosystem for converged high-performance computing and cloud computing systems. In particular, the system architecture will consist of multiple heterogeneous nodes equipped with multi-core processors, accelerators like GPUs, diverse memories like HBM and NVM, and disaggregated memory and storage. The doctoral students will have opportunities to research designing and developing open-source middleware solutions to be integrated into Kubernetes plugins, MPI, system software, and libraries, to improve the scalability and efficiency of large-scale applications in science, machine learning, and data analytics. The doctoral students will also have opportunities to develop advanced system-level characterization and optimization techniques for heterogeneous computing systems. The doctoral student will collaborate with multiple leading research teams within the project, build international collaboration, and develop research and project management skills. The research is carried out within the EU horizon projects OpenCUBE and IO-SEA.
Deadline : 31.Jan.2023
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in WWSC: Wood-based polymers for surface engineering
This project aims to use building blocks from wood-based raw materials to produce new materials that can replace fossil-based counterparts, especially in adhesives and other applications where tailored surface properties are needed. The main focus will be on the polymerization of small molecules from wood, either as extracted or after functionalization, and characterization of the properties of the resulting materials. We strive to meet the principles of green chemistry. The work is supported by advanced lab equipment and many qualified colleagues.
Deadline : 20.Jan.2023
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in WWSC: Fabrication processes for biobased nanomaterials
With the global quest for sustainability, there is a strong drive for developing bio-based alternatives to today’s materials to replace fossil-based materials and provide future materials with new and advanced functionalities. One of the main challenges in this development is that for water-based fabrication processes of lignocellulosic material concepts, it is essential to remove water as efficiently as possible, striving at low energy demand, specifically for drying. This is a technical challenge. Successful processes/technologies should be characterised by low energy demand and reduced water demand during processing and follow the “principles of green chemistry”. The project will study the interaction between water and lignocellulosic surfaces. It will primarily be experimental and apply various state-of-the-art techniques, e.g. advanced scattering techniques using synchrotron light and neutron sources to elucidate the physical mechanisms controlling the water behaviour.
Deadline : 20.Jan.2023
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in WWSC: Structure and properties of lignin materials
A significant progress in the understanding of lignin and lignin based materials have been achieved during the last decade. New refining protocols, advanced characterization techniques, and synthesis protocol has led to a better understanding of lignin. The results have shown that not only classical structural factors but also the unique morphology is of importance although numerous questions remain. The present project aims to gain a more fundamental understanding on how lignin and lignin based materials behave in this respect on molecular and nano-level. The projects covers formation (fractionantion and syntesis) of different lignin based materiels och studies of these with advanced tehcniques such as NMR, nano-FTIR, SEM, TEM, AFM, DMA, and synchrotronbased methods.
Deadline : 20.Jan.2023
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(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in WWSC: Hemicelluloses for fibre enzymatic modification
Wood is a formidable composite material with unique biological functions and outstanding properties in material applications. Hemicelluloses are key components in wood interlocking cellulose microfibrils and lignin. We have previously demonstrated that wood hemicelluloses have regular repeating motifs that modulate the interactions with cellulose fibre surfaces. This enables hemicelluloses to assemble into rigid and flexible domains on the surface of cellulose fibres. This research program will exploit the biological function of hemicelluloses for the enzymatic surface functionalization of wood fibres. The PhD candidate will study the surface interactions between wood hemicelluloses and cellulose fibres using simulations and experimental approaches. The candidate will investigate the mechanisms of enzymatic action towards hemicelluloses adsorbed onto cellulose surfaces, and how the introduced functional groups influence the stability and rheological properties of the wood fibres using spectroscopic and scattering techniques.
Deadline : 20.Jan.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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