Are you holding Master’s degree and looking for PhD positions – Fully Funded PhD Programs in Europe? Chalmers University, Sweden inviting application for funded PhD Programs or fully funded PhD Scholarship. Chalmers University is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.
Chalmers University has huge a campus in Sweden and widely known as for its contribution in top notch education and research. The contribution of Chalmers University is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.
1. Two PhD students in mathematics for artificial intelligence
Summary of Doctoral Project:
The expansion of Artificial Intelligence (AI), in the broad sense, is one of the most exciting developments of the 21st century. This progress opens up many possibilities but also poses grand challenges. The center “Wallenberg AI, Autonomous Systems and Software Program” (WASP) has launched a program to develop the mathematical side of this area, see https://wasp-sweden.org. The aim is to promote the competence of Sweden as a nation within the area of AI. We will now open two new projects:
Last Application Date: 15 September, 2022
2. PhD student in machine learning for medical image analysis
Summary of Doctoral Project:
This position is focused on research in applications of image analysis in the biomedical area, e.g. developing automatic methods to interpret images and signals from medical imaging systems and other biomedical sensor modalities. The project aims to develop models to predict and prognosticate diseases such as lung cancer, fractures, and coronary artery disease, using mainly computed tomography images (3D x-ray), but possibly other medical imaging modalities such as x-ray, ultrasound, and nuclear medicine imaging. We aim to develop state-of-the-art methods for medical image analysis, based on key enabling techniques from machine learning, estimation, optimization, and mathematical modeling. Our research is highly multi-disciplinary and will be performed in close collaboration with medical researchers from Sahlgrenska Academy at Gothenburg University and other medical institutions within Sweden and on the international scene.
Last Application Date: 15 September 2022
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3. PhD student in Energy system analysis
Summary of Doctoral Project:
The successful candidate will work in the project “Logging of electric vehicles – characterization of charging patterns and grid impacts ” with the aim to increase the understanding of charging and driving patterns of electric vehicles (EVs) and use the new knowledge to investigate how EV charging can contribute to flexibiity in the electricity system. The PhD position on offer will join a team of senior researchers, postdocs and PhD students dedicated to research with the aim to identify and evaluate different pathways toward sustainable energy and transport systems. In the project charging and driving data will be collected and analysed from 360 randomly chosen EV owners in Sweden. The PhD project is unique in terms of the number of electric vehicles being logged and that these are distributed geographically across Sweden. The PhD position will analyze capacity limitations in the local electricity grid when adding EV charging using the collected data together with analysing how the battery capacity is affected by the charging pattern from the different EVs.
Last Application Date: 2022-09-15
4. PhD student position within Intelligent Energy Data Management and Online Decision Making
Summary of Doctoral Project:
The PhD student will join a high-profile group of researchers working on parallel and distributed data processing, the Chalmers’ Distributed Computing and Systems (DCS) group. The position offers an opportunity to work within a national Competence Centre with close collaboration with industry (cf. Major responsibilities). The research focuses on designing, analyzing, and applying cutting-edge methods for key problems in parallel, distributed, and streaming data processing and analysis, with applications on interdisciplinary problems. The software systems that support collaboration and data analytics operate under stringent constraints for response times, throughput, scalability, and availability. By focusing on scalable, parallel, and distributed stream processing, we target the design, implementation, and testing of data handling frameworks that can support future smart energy grids.
Last Application Date: 15th September, 2022
5. PhD student position in sustainable mobility systems
Summary of Doctoral Project:
The greenhouse gases (GHG) emissions from the transport sector take up approximately a quarter of global GHG emissions and are still rising. Traffic congestions and safety have been two of main causes for economic losses and causality worldwide. To facilitate the fast transition to emission-free, more efficient and safer transportation systems, the world has witnessed significant advances in emerging transport technologies such as transportation electrification, shared mobility and connected automated vehicles. These emerging technologies are promising panacea to renovate current mobility systems and significantly contribute to transition to more sustainable mobility systems. However, these new techniques bring not only opportunities but also challenges. There are many theoretical, technical and practical issues that need to be addressed to put these new technologies or techniques to good use.
Last Application Date: 7 October, 2022
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6. PhD student position in information-theoretic generalization bounds
Summary of Doctoral Project:
Machine learning algorithms are a crucial component of the data-scientist toolbox. However, the empirical success of modern machine-learning algorithms is still a puzzle to theoreticians. The goal of this PhD project is to use tools from information theory i) to explain why modern machine-learning algorithms perform so well and ii) to guide their design.
Last Application Date: 15 September, 2022
7. PhD student position in Supramolecular Chemistry
Summary of Doctoral Project:
The Grommet Group now invites applications for one PhD student position in the field of supramolecular chemistry with an emphasis on its interface with biomaterials. Key research objectives include synthesizing and characterizing novel supramolecular stabilizers, fabricating new LNPs containing these stabilizers, and investigating their activity in vitro. Research into the mechanism of endosomal trafficking and cargo release will be performed in collaboration with other groups within Excellence Initiative Nano, while research into the immunogenicity of these particles will be performed in collaboration with the University of Gothenburg.
Last Application Date: 17 September, 2022
8. Prestigious PhD positions in beyond-5G mm-Wave Antenna Systems
Summary of Doctoral Project:
In this PhD project, you will perform cutting-edge research on the joint design of power amplifiers with antennas for future satellite-based communication systems. This PhD project is among 15 research projects of the European Doctoral Network `ANTERRA’ (Non-Terrestrial Antenna Systems for the six-generation wireless, 6G) that offers 15 fully funded industrial PhD student positions in the area of antennas, integrated circuits and signal processing, starting in the autumn of 2022. ANTERRA is focused on Antenna Systems for 6G Non-Terrestrial Networks. The consortium consists of 14 leading European R&D laboratories from universities, industries, and technology institutes in the domain of satellite communication and wireless infrastructure which are located in The Netherlands, France, Sweden, Italy and Belgium.
Last Application Date: 24 September, 2022
9. PhD student position in Computational tools and design of lightweight composite hydrogen tanks
Summary of Doctoral Project:
With this project, you will have the opportunity to work on a challenging and industry-relevant project in a truly interdisciplinary team. The position is meritorious for future research duties within academia as well as in industry and the public sector. As part of your engagement at the division, you will also develop your teaching skills (up to 20 % of working time). This experience will further prepare you for future academic jobs, but also for communication tasks in industry. The PhD student position will be placed at the Division of Material and Computational Mechanics (Department of Industrial and Materials Science). The work will be carried out in close collaboration with Prof. Martin Fagerström and Prof. Leif Asp at the Division of Material and Computational Mechanics and Prof. Tomas Grönstedt and Prof. Lucien Koopmans at the Department of Mechanical and Marine Sciences at Chalmers.
Last Application Date: 26 September, 2022
10. PhD Student Position in Machine Learning: Causality & Efficiency
Summary of Doctoral Project:
Machine learning is now an essential tool for scientists and engineers. It is used in diverse applications to predict outcomes from inputs by training models to minimize prediction error in training data. As widespread adoption reaches beyond research and the developers of such systems, the seams have started to show in this attractively simple idea. State-of-the-art models which achieve top accuracy on benchmark tasks fail to generalize to new examples and to highly related problem domains. In this project, we will study the combination of causal inference and learning using auxiliary information to improve the efficiency and domain robustness of learning algorithms.
Last Application Date: 2nd October, 2022
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11. PhD student position in charging and trip planning of electric vehicles
Summary of Doctoral Project:
In this project, we will develop intelligent trip planning system for electric vehicles that will replace currently available navigators in production vehicles. The novel system will incorporate information shared with other vehicles and predictive information on power availability of chargers along the route, in order to optimally manage charging from both the vehicular and infrastructure perspective. Such a holistic perspective on intelligent trip planning has not been studied previously and the hypothesis is that a holistic approach is necessary to avoid queues at some charging stations and underutilization of other stations, while minimizing travel time and energy consumption for the individual electric vehicle user. We will develop stochastic models on the anticipated distribution of charging cost, power availability, waiting time and overstay cost at charging facilities. Advanced optimization techniques will be developed to answer the hypothesis, and the results will be demonstrated on a prototype vehicle, to prove its feasibility and take initial steps in technology development.
Last Application Date: 5 October, 2022
12. PhD student on drive systems for vehicle applications
Summary of Doctoral Project:
We at the Division of Electric Power Engineering conducts research within a broad range of topics in electric power technology. Our purpose is to develop interdisciplinary research areas within the university as well as with external partners. Our research is based on a solid theoretical basis and extensive experimental verification in our laboratories as well as in the field. Research activities at the division are organized in two research units: power grid and components and electrical machines and power electronics.
Last Application Date: November 2, 2022
13. PhD student on electrical machine on vehicle applications
Summary of Doctoral Project:
The research work will be mainly financially supported by an EU Horizon project. The project is called “Integrated HIgh-speed POwer systems for industry and mobile applications (HIPO), which is a Doctoral Network in MSCA program running from 2022 to 2026 in Europe with 6 academic institutions: LUT, KIT, Chalmers, DTU, Aalborg and UNIPI. This doctoral network will educate and train 10 highly skilled doctoral candidates (DCs) and with them create methodology for optimum drive designs in industrial and transportation applications. This is one of two PhD students to be employed at Chalmers for this project. The candidate will get strong guidance from two high-quality supervisors from universities and one guiding expert from electrical industry to get the best understanding on latest industrial aspects. The student will spend short working periods at DTU Denmark and LUT Finland.
Last Application Date: 2 November, 2022
14. PhD student position on interpretable conversational AI
Summary of Doctoral Project:
The project will be carried out in the Applied Artificial Intelligence (AAI) research group. In the project, building on our previous research in conversational AI, we aim to develop and apply (for example in healthcare) a state-of-the-art dialogue manager for intelligent virtual agents that, moreover, will be fully interpretable by design (a key theme in our research), unlike the currently popular black box models (e.g. deep neural networks) that, however, will also be used, for example in benchmark comparisons.
Last Application Date: 1st October, 2022
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