{"id":8547,"date":"2022-09-27T10:00:36","date_gmt":"2022-09-27T10:00:36","guid":{"rendered":"https:\/\/notesbard.com\/?p=8547"},"modified":"2022-09-25T18:20:38","modified_gmt":"2022-09-25T18:20:38","slug":"36-fully-funded-phd-programs-at-kth-royal-institute-of-technology","status":"publish","type":"post","link":"https:\/\/notesbard.com\/36-fully-funded-phd-programs-at-kth-royal-institute-of-technology\/","title":{"rendered":"36 Fully Funded PhD Programs at KTH Royal Institute of Technology, Sweden"},"content":{"rendered":"
Are you holding Master\u2019s degree and looking for PhD positions? KTH Royal Institute of Technology, Sweden inviting online application for funded PhD Programs \/ fully funded PhD positions.\u00a0<\/span><\/p>\n Interested and eligible applicants may submit their online application for PhD programs via the University\u2019s Online Application Portal.<\/span><\/p>\n 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.<\/span><\/p>\n Last Application Date:<\/span><\/strong> 01.Nov.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n The utilization and adaptation of Nature\u2019s tools for sustainable manufacturing of chemical products is a fast-developing research field and methods for enzyme design have recently been awarded a Nobel prize in chemistry. The design of enzymes requires both a fundamental molecular-level understanding and engineering skills. 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.<\/span><\/p>\n Last Application Date:<\/span><\/strong> 31.Oct.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n 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. <\/span><\/p>\n Last Application Date:<\/span><\/strong> 30.Sep.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n 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.<\/span><\/p>\n Last Application Date:<\/span><\/strong> 05.Oct.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n 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.<\/span><\/p>\n Last Application Date:<\/span><\/strong> 06.Oct.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Variational autoencoders (VAEs), a part of the Variational inference (VI) methodology, has recently become important in analysis of large single-cell and spatial bio data. Yet, employing them for posterior approximations in Bayesian phylogenetics is a difficult problem. Clear examples of successful applications are still outstanding. Following recent trends in VAE research, one may hypothesize that it may be addressed by incorporating inductive biases, modeling more advanced prior distributions, and\/or via architecture design. 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.<\/span><\/p>\n Last Application Date:<\/span><\/strong> 14.Oct.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n 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 \u2013 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.<\/span><\/p>\n Last Application Date:<\/span><\/strong> 06.Oct.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n 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. The Information Science and Engineering Division at KTH Electrical Engineering has 12 faculty members and presently about 35 PhD students, who contribute to a high professional standard of intensive work and quality results, as well as to a friendly and open environment.<\/span><\/p>\n Last Application Date:<\/span><\/strong> 14.Oct.2022d<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n High-temperature thermal energy storage enables widespread exploitation of renewable energy sources, providing flexibility for tomorrow\u2019s 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.<\/span><\/p>\n Last Application Date:<\/span><\/strong> 30.Sep.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n At the Unit of Structures, Dept. for Materials Science and Engineering, KTH, research is underway that leads to new models and descriptions for the next generation of thermodynamic databases. Thermodynamic databases are used in conjunction with software to predict the state of a material and are used worldwide by both industry and academia. 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.<\/span><\/p>\n Last Application Date:<\/span><\/strong> 06.Oct.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Our research group has a decade-long track record in leading academic research with real-world impact in the area of industrial wireless networking. We are looking for an outstanding individual interested in integrating with a strong KTH-internal team as well as with external stakeholders in order to shape future 6G networks. We typically combine fundamental research work (leveraging methods from communication and queuing theory) with experimental testbed development and trials. Candidates with a strong track record in either of these domains (with respect to wireless networking) are encouraged to submit applications. Solid command of machine learning theory and\/or practical skills is a plus.<\/span><\/p>\n Last Application Date:<\/span><\/strong> 06.Oct.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n 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. <\/span><\/p>\n Last Application Date:<\/span><\/strong> 29.Sep.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n 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.<\/span><\/p>\n Last Application Date:<\/span><\/strong> 10.Oct.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n 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.<\/span><\/p>\n Last Application Date:<\/span><\/strong> 30.Sep.2022<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n 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.<\/span><\/p>\n Last Application Date:<\/span> <\/strong>30.Sep.2022 <\/span><\/span><\/p>\n1. PhD Position in Organic Redox Flow Batteries<\/span><\/h1>\n
Summary of PhD Program:<\/span><\/h2>\n
2. PhD Position in Biocatalysis: Scale-up for sustainable enzyme chemistry<\/span><\/h1>\n
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Looking For More Fully Funded PhD Programs? Click Here<\/span><\/a><\/span><\/h3>\n
3. PhD Position in controlling building energy systems<\/span><\/h1>\n
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4. PhD Position in Bridge Engineering \u2013 new concepts for high speed tracks<\/span><\/h1>\n
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5. PhD Position in algorithms and architectures for high-performance machine-learning<\/span><\/h1>\n
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How to Write Cover Letter for PhD Program?<\/span><\/a><\/span><\/h3>\n
6. PhD Position in deep generative models for cancer research<\/span><\/h1>\n
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7. PhD Position in artificial intelligence for wireless communications<\/span><\/h1>\n
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8. PhD Position in Information theory for stochastic decision problems<\/span><\/h1>\n
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9. PhD Position in High Temperature Thermal Energy Storage<\/span><\/h1>\n
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10. PhD Position in computational thermodynamics<\/span><\/h1>\n
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How to Write Motivation Letter for PhD Program?<\/span><\/a><\/span><\/h3>\n
11. PhD Position in 6G Industrial Wireless Networks<\/span><\/h1>\n
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12. PhD Position in sustainable and circular urban agriculture<\/span><\/h1>\n
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13. PhD Position in Applied Math. within Optimization and Systems Theory<\/span><\/h1>\n
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14. PhD Position in chemistry<\/span><\/h1>\n
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Motivation Letter vs Cover Letter I All You Need To Know<\/span><\/a><\/span><\/h3>\n
15. PhD Position in Synthetic biology to enhance carbon conversion in cyanobacteria<\/span><\/h1>\n
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