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16 PhD Degree-Fully Funded at KTH Royal Institute of Technology, Stockholm, Sweden

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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, Sweden.

Eligible candidate may Apply as soon as possible.

 

(01) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Networked Systems for Machine Learning

The advertised doctoral student positions are within an ambitious, 5-year European Research Council (ERC) Consolidator Project titled “ULTRA”. In this 2 Million EUR project, we want to dramatically change the way Internet Services are constructed. In detail:

Deadline : 10.Jan.2022

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(02) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Environmental Physiology

The doctoral education will be undertaken within the programme “Technology and Health”. The research work will primarily be performed in the laboratory facilities of the Division of Environmental Physiology, which carries out research related to medical and physiological problems that may occur in diving and flying settings, and also during exposure to high altitude or in hot or cold climates.  

Deadline : 11.Jan.2022

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View All Fully Funded PhD Positions Click Here

(03) 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 : 11.Jan.2022 

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(04) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Students in Scalable and Robust Reinforcement Learning

We are currently looking for 1-3 PhD students with a strong background and interest in mathematics (statistics and probability theory) and machine learning. The candidates will work on a recently granted national project on Reinforcement Learning (RL). In the project, we will develop new theory and methods towards the design of faster and more robust RL algorithms. The PhD program in Electrical Engineering provides world class quality education, including a large list of graduate courses ensuring an in-depth development of relevant competences and skills.

Deadline : 30.Dec.2021

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(05) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Polymeric Materials in Electric Engines

A more sustainable society requires that more and more vehicles are equipped with battery-powered electric motors. For a complete change, the engine power needs to be increased and the reliability and long-term properties also need to be improved. A bottleneck in engine performance, and to achieve higher power, is the properties of the plastic insulation that covers the copper wires and other plastic parts of the machine. During service, the insulation is particularly exposed to high temperature, oxygen, moisture and oil, which leads to component aging through oxidation and / or hydrolysis. A failing insulation leads to corrosion of the copper wire and eventually electrical short circuit.

Deadline : 11.Jan.2022

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(06) PhD Degree – Fully Funded

PhD position summary/title: Doctoral students in Data Visualization

This project will develop algorithms, methods, and tools to visually analyze data. We focus on topology-based algorithms due to their powerful capabilities for extracting features. Our main challenge is to formulate these algorithms such that they are fast and efficient. We integrate these algorithms in a modern visualization tool.

Deadline : 31.Dec.2021

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(07) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Molecular proteomics

The candidate applying for this position is expected to participate in research aiming to develope protein biomarkers for a specific use in a clinical context as well as for drug development. The research is conducted in collaboration with doctors, geneticists and bioinformatics as well as pharmaceutical companies. The doctoral student position also includes 10% departmental service.

Deadline : 10.Jan.2022

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(08) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in power electronics for control of hydrogen electrolysers

Wind power has grown strongly in recent years and is expected to continue to increase significantly. But it also poses high stress on the power balance of the grid due to the stochastic and uncertain characteristics of wind power. On the demand side, there is a strong trend with significantly more hydrogen electrolysis in mainly the mining and steel industry. Therefore, using surplus wind power to produce green hydrogen is a promising solution to support large industry demand, and electrolyzers can provide system services for wind power integration. In this process, power electronic interface is a key enabler for balancing and utilization of wind power. This project will develop power electronic interfaces and suitable control/optimization mechanisms for electrolyzers to provide efficient system services for wind power integration.

Deadline : 10.Jan.2022

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(09) PhD Degree – Fully Funded

PhD position summary/title: Doctoral students in digitalized power grids

With the high penetration of renewables, power electronics and the tightly coupled cyber and physical networks, future power systems will be more complex with stochastics and vulnerabilities. Recent advancements in artificial intelligence, big data and advanced control/optimization technologies provide possible novel approaches to address above challenges. This project will develop a digital model as well as learning based optimization algorithms to achieve stable and secure operation of future power grids. This project is funded by Swedish Research Council.  

Deadline : 02.Feb.2022

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(10) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in biobased nanomaterials for medical use

The project will investigate routes for the functionalisation of filaments produced by an unique microfluidic spinning method (flow-focusing) developed at KTH aiming at MedTech applications. The project will primarily be experimental and apply various routes for functionalisation of the fabricated materials and use state-of-the-art experimental techniques for characterisation, e.g. advanced scattering techniques using synchrotron or neutrons.

Deadline : 11.Jan.2022

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(11) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in fabrication processes for biobased nanomaterials

The project will aim to develop technologies for controlling the assembly of nanofibrils in dispersions by a deepened understanding of the governing physical mechanisms, which will be addressed by investigating how confinement and imposed flow-fields (shear) interact with Brownian motion for nanofibrillar dispersions at various concentrations. The ultimate goal is to provoke “liquid crystalline states” with a highly aligned and ordered nanofibrillar system. The project will primarily be experimental and apply various state-of-the-art techniques, e.g. advanced scattering techniques using synchrotron light to elucidate the physical mechanisms driving and controlling self-assembly.

Deadline : 11.Jan.2022

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(12) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in large-scale distributed machine learning

With the development of computing and communication technologies, and emerging data-driven applications, e.g., IoT based intelligent systems, social network analysis and vehicular networks, the volume of data for various learning systems increases explosively along with the number of involving computing nodes. Thus, large-scale distributed machine learning (e.g., federated learning, and alternating direction method of multipliers (ADMM)) has been pervasive in our societies and industries.

Deadline : 31.Jan.2022

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(13) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Mathematics

Applications for two PhD-positions are invited within the areas listed below: 

Deadline : 07.Jan.2022

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(14) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in Information and Communications Technology

The PhD candidate will map a biologically plausible model of cortex to a memristor crossbar. Part of the calculations of the model will be mapped in the crossbar using analog computations to fuse storage and computation to fundamentally overcome the von-Neumann bottleneck. The key challenges that the PhD will address will be memristor device modelling, factoring in large space-time variations in memristor devices, full-custom circuit level design and mixed-signal design.

Deadline : 27.Jan.2022

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(15) PhD Degree – Fully Funded

PhD position summary/title: Doctoral student in experimental fluid mechanics

The doctoral project, which is funded by the Swedish Research Council, is about basic studies of the transition process from laminar to turbulent flow under the influence of free-stream turbulence. The position is experimental, and the measurement campaigns will be carried out in wind tunnels to collect valuable data that cannot be done with today’s numerical simulations. The experimental database will be used by the doctoral student to increase the physical understanding of the complex transition process, which in turn can lead to better transition models.

Deadline : 10.Jan.2022

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(16) PhD Degree – Fully Funded

PhD position summary/title: Doctoral students in Transport Science

The Department of Urban Planning and Environment at KTH is looking for two excellent candidates for doctoral student positions in the area of Transport Science. We are working on quantitative methods in urban modelling and decision support, including development of new methods for data acquisition, AI, and Machine Learning, which is creating new opportunities in planning and urban and regional studies by the intersection of urban data science, technology, and design.

Deadline : 14.Jan.2022 

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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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