{"id":11474,"date":"2024-05-05T09:00:54","date_gmt":"2024-05-05T09:00:54","guid":{"rendered":"https:\/\/notesbard.com\/?p=11474"},"modified":"2024-04-26T18:42:09","modified_gmt":"2024-04-26T18:42:09","slug":"21-fully-funded-phd-programs-at-chalmers-university-of-technology-sweden","status":"publish","type":"post","link":"https:\/\/notesbard.com\/21-fully-funded-phd-programs-at-chalmers-university-of-technology-sweden\/","title":{"rendered":"21 Fully Funded PhD Programs at Chalmers University of Technology, Sweden"},"content":{"rendered":"
If you’re a Masters degree holder and seeking Fully Funded PhD Programs, Chalmers University of Technology, Sweden has several online applications open for PhD programs. Explore the PhD opportunities across diverse research areas and submit your application soon.<\/span><\/p>\n This position revolves around the fundamental principles of AI and machine learning, with a specific emphasis on reinforcement learning. Machine learning encompasses a range of data-driven techniques that derive models for tasks such as prediction, exploratory data analysis, and explanation. The primary focus of this position is on reinforcement learning which examines the interactions between an agent and its environment, aiming to maximize cumulative rewards (to reach the goal as efficient as possible).\u00a0<\/span><\/p>\n Application Deadline:<\/strong> 2024-06-10<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS) aims (https:\/\/www.scilifelab.se\/data-driven\/) to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.<\/span><\/p>\n Application Deadline:<\/strong> 2024-06-07<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n As a PhD student, your primary role will be performing and publish scientific, engineering, and applied mathematics research. Research areas may include the analysis of nonlinear systems arising in insect exoskeletal, muscle; and fluid flows; application of computational tools for fluid and structural mechanics to problems arising in entomology; and establishing a fundamental framework for studying energy-efficiency in forced oscillators. Mathematical biology is the primary focus of this position; but biomechanical testing and\/or robotic development may be involved, and it is anticipated that the line of research will be highly interdisciplinary.<\/span><\/p>\n Application Deadline:<\/strong> 2024-06-01<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n The M\u00fcller Research Group focuses on the physical chemistry and materials science of organic semiconductors, polymer blends and composites, and develops new plastic materials for wearable electronics and energy technologies ranging from organic solar cells and thermoelectrics to power cables. All research is conducted in co-operation with other universities\/institutes and\/or industry. Presently, the group consists of 1 Professor, 1 senior scientist, 3 Postdocs and 9 PhD students.<\/span><\/p>\n Application Deadline:<\/strong> 31 May, 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Generative AI, with tools like ChatGPT, driven by Large Language Models (LLMs), have in the past year demonstrated impressive capabilities in generation of not only fluent text but also computer code. They take instructions in natural language and can perform seemingly creative tasks very well. However, LLMs can be unreliable: a well-known issue is hallucinations where seemingly sensible but incorrect answers are produced, and their reasoning capabilities are fragile.<\/span><\/p>\n Application Deadline:<\/strong> 2024-05-31<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n <\/p>\n The lithium-ion battery is the dominant rechargeable energy storage devices. In order produce high-performance lithium ion battery, different component need to be optimized, especially the binder which plays a critical role not only in the mechanical properties of the formed electrode but also in determining the long-term cycling performance of the battery. However, the polymer-based binders used for both anode (especially silicon-based anode) and cathode have their issues. This PhD position will focus on the development of a new binder system, which includes both the synthesis\/modification of the biomaterials-related binders and also development of a new electrode manufacturing process.<\/span><\/p>\n Application Deadline:<\/strong> 2024-05-31<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n This PhD project will explore this novel amyloid activity in vitro, in cells, and through metabolomic approaches. The focus will be on alpha-synuclein and Parkinson, but other amyloidogenic proteins may be included. In addition, the role of metal ions as modulators of catalytic activity, liquid-liquid phase separation (LLPS), and final amyloid structure will be elucidated. The project will involve a range of biochemistry and biophysics (spectroscopy, microscopy) methods using purified proteins along with cell culture studies as appropriate. Some parts of the project may involve collaborators.<\/span><\/p>\n Application Deadline:<\/strong> 2024-05-31<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Chalmers University of Technology is a leading university, with high excellence in the area of industrial digitalization and manufacturing. The Division of Production Systems is a growing team of 30 cross-disciplinary and excellent researchers, teachers, PhD candidates, and support staff. The Division has a very good gender balance and high diversity. Our research, education, and innovation is performed both nationally, in Europe, and internationally. We have advanced research facilities and labs for industrial digitalization experimentation, Stena Industry Innovation Lab.<\/span><\/p>\n Application Deadline:<\/strong> 2024-05-30<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS) aims (https:\/\/www.scilifelab.se\/data-driven\/) to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.<\/span><\/p>\n Application Deadline:<\/strong> 2024-05-29<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Climate change mitigation, energy security concerns and cumulative technical development have led to a renewed interest in nuclear energy. However, established nuclear fission technology suffers from long construction times, high up-front costs, limited learning, and high political risk. Small modular reactors (SMRs) could potentially open a new trajectory for nuclear fission, and thermonuclear fusion could open a completely new space for innovation and industrial development. To realise such visions, not only technical problems, but also a broad set of economic and institutional barriers related to developing new industrial value chains need to be overcome. This PhD project at Chalmers, in cooperation with RISE, applies the technological innovation systems (TIS) framework to identify barriers and drivers in different parts of the emerging sociotechnical systems around SMRs and fusion reactors, with the aim of providing foresight to policymakers and industry.<\/span><\/p>\n Application Deadline:<\/strong> 2024-05-26<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Per- and poly-fluoroalkyl substances (PFAS) have long been used in various industrial applications due to their favorable chemical and thermal stability, water resistance, and electrical insulation. In particular, they are widely used in the process of semi-conductor manufacturing; however, due to recent evidence of their adverse environmental and health effects, regulatory agencies are increasingly tightening restrictions on PFAS usage and pushing for their eventual phase-out, spurring an urgent need for alternative compounds.\u00a0<\/span><\/p>\n1. Fully Funded PhD Position in AI \/ Machine Learning – Reinforcement Learning<\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
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2. Fully Funded PhD Position in bioinformatics and artificial intelligence<\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
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3. <\/span>Fully Funded PhD Position in biomathematics\/biomechanics of insect flight<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
4. <\/span>Fully Funded PhD Position in New Materials Concepts for Stable Organic Solar Cells<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
5. <\/span>Fully Funded PhD Position in Neuro-symbolic AI for Mathematical Discovery<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
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6. <\/span>Fully Funded PhD Position in biomaterials based binder for battery manufacturing<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
7. <\/span>Fully Funded PhD Position in New functions of amyloid fibers<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
8. <\/span>Fully Funded PhD Position in Future of Work and Artificial Intelligence<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
9. <\/span>Fully Funded PhD Position in stochastic modelling of infectious diseases<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
10. <\/span>Fully Funded PhD Position in Innovation systems of emerging fission and fusion technologies<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
Find More PhD Programs<\/span><\/a><\/span><\/h3>\n
11. <\/span>Fully Funded PhD Position in integrated AI\/MD for the discovery of new materials<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n