{"id":3316,"date":"2023-06-06T10:00:53","date_gmt":"2023-06-06T10:00:53","guid":{"rendered":"https:\/\/fellowshipbard.com\/?p=3316"},"modified":"2023-06-06T12:14:35","modified_gmt":"2023-06-06T12:14:35","slug":"49-fully-funded-phd-programs-at-eindhoven-university-of-technology","status":"publish","type":"post","link":"https:\/\/fellowshipbard.com\/49-fully-funded-phd-programs-at-eindhoven-university-of-technology\/","title":{"rendered":"49 Fully Funded PhD Programs at Eindhoven University of Technology, Netherlands"},"content":{"rendered":"
Are you holding Master\u2019s degree and looking for fully funded PhD positions? Eindhoven University of Technology, Netherlands invites online application for multiple funded PhD Programs \/ fully funded PhD positions in various research areas.<\/span><\/p>\n Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University\u2019s Online Application Portal.\u00a0<\/span><\/p>\n Clean water and sanitation is one of the 17 Sustainable Development Goals of United Nations. Reaching these goals in an energy-efficient, environmentally friendly and sustainable way requires optimization and balancing of multiple decisions in a complex setting. For example, the recent trend to use renewable energy sources for desalination and wastewater treatment makes the decision process more complicated, due to the temporal variability of these sources. <\/span><\/p>\n To deal with this complexity, AI systems that go beyond the current point solutions are needed, while also considering the broader perspective and a balanced interaction between the computerized systems and human experts, providing them with understandable explanations on the inner working of the AI system. The scientific challenge of this PhD project is to develop hybrid AI solutions that combine advanced prediction methods (e.g., deep learning algorithms), multi-objective optimization and adaptive models with explainable AI decision-making methods from computational intelligence to realize such a balance.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n In this project you will extend current AI energy consumption forecasting and DR methods with tailored and explainable recommendations that will provide both household and industry consumers with tailored advice how to adjust for Demand Response. As many stakeholders are involved, and dynamic changes in energy usage will affect other consumers in the network, a multi-stakeholder perspective on recommendations should be employed. You will work together with other PhD students in the lab that will work on forecasting and on identifying the stakeholders. In the project you will review existing methods for AI in DR, work on recommender model and approaches, test several of these models in prototypes and in a pilot project within the ILUSTRE project.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Follow FellowshipBard for daily updates! <\/span><\/strong><\/span><\/p>\n Facebook<\/span><\/strong><\/a><\/span><\/p>\n Twitter<\/span><\/strong><\/a><\/span><\/p>\n Linkedin<\/span><\/strong><\/a><\/span><\/p>\n With this project, we aim to develop planning solutions using both traditional methods from operations research and artificial intelligence. The developed tools will have the potential to make road transport both more efficient, more resilient, and more sustainable, and will also address driver shortages, ongoing electrification and automation of road transport, and collaboration and competition in the transportation market.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n We are seeking an enthusiastic PhD candidate to join our interdisciplinary team working on a new cutting-edge project at the intersection of AI, Physics, and Oncology. The goal is to develop and implement a physics-informed, generative AI method for modeling and predicting tumor cell dynamics from static microscopic images. The successful candidate will work closely with a team of experts in statistical physics, biophysics, image analysis, and deep learning\/AI to develop novel biomarkers based on cell dynamics. <\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n The electro-optical communications (ECO) group in the Faculty of Electrical Engineering at TU\/e is a globally recognised, leading scientific and applied research group focused on exploiting light for communication and quantum systems. We apply our knowledge in collaboration with other scientists at TU\/e and more recently within the newly formed Eindhoven Hendrik Casimir Institute (EHCI) to develop the required solution for many of the relevant challenges in communication and sensing systems. The group expertise spans from the fundamentals and physics of photonics, optics, the design and fabrication of photonic integrated circuits (PICs) systems to exploiting optical linear\/non-linear signal processing to unlock fiber capacity and relevant higher layer protocols required to operate modern optical communication networks.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Osteoarthritis (OA) is a common and chronic joint disease. Worldwide it affects more than 10% of the people aged 60 years and older, being a major source of pain, disability, and socioeconomic cost. OA generally starts with cartilage damage, and it also involves other joint tissues, such as subchondral bone, ligaments and menisci, and the progression differs per patient. All of this presents clinicians with important challenges. Therefore, a new imaging method is needed that allows early diagnosis and reliable monitoring of OA, which is crucial to enable timely and effective interventions, help achieving better disease control, and postpone the most invasive interventions such as total joint arthroplasty.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n The candidate will work on the development of a novel photoacoustic imaging system for joint imaging, performing PA&US measurements on human joint samples ((N = 50 – 100) using the new PA system, developing advanced algorithms to characterize various joint tissues properties based on sPA\/US contrast (such as PA spectra unmixing and deep learning methods), and to relate these tissue properties (changes) to the OA progression. All the developed methods will be eventually tested in a clinical relevant settings.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n Online technologies are disrupting philosophical notions of human well-being. Persuasive technologies, ubiquitous connectivity, recommender systems, and generative artificial intelligence all create distinct ethical challenges, but a comprehensive evaluation of these technologies requires grasping how they affect the fully flourishing life. The Philosophy & Ethics Group at TU Eindhoven (TU\/e) invites applications for a PhD position exploring how philosophical insights on digital well-being can contribute to the design of emerging online technologies. This position has the option to be affiliated with the Ethics of Socially Disruptive Technologies consortium (ESDiT: www.esdit.nl).<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Are you interested in applying advanced artificial intelligence techniques (specifically Deep Reinforcement Learning) to support decision makings in practical transportation and manufacturing (such as decisions on vehicle routing and machine scheduling)? Do you want to develop cutting-edge learning techniques in domains of Graph Neural Networks, Transformers, Generative Models, etc. for tackling challenging issues in (multi-objective) combinatorial optimization and integer programming? We are looking for one PhD student in Artificial Intelligence with a focus on these topics.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n The E2GO consortium contains Eindhoven University of Technology, Delta Electronics (Poland) Ltd., Heliox BV, University of Minho, Efacec Electric Mobility SA, Aalborg University, Silicon Austria Labs GMBH, Infineon Technologies Austria AG, Shell Global Solutions International BV, Kema Lab BV, University of Innsbruck, which brings together the stakeholders that cover the complete value chain of high-power fast-charging stations for EV creating an in-depth training programme that covers the spectrum from hardware design and electronics, to modelling and control algorithms. <\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n We are interested in studying hydrogen flash-back, fundamentally as well as in practical applications. Studies on hydrogen flash-back have been performed in the past, and in this project we want to improve and extend the current knowledge base. Specifically, we would like to investigate hydrogen flame quenching and flash-back on heated burners. The goal is two-fold: one the one hand we would like to create a deeper insight into the physics of hydrogen flash-back and quenching and propose correlations for industry, and on the other hand we would like to investigate novel measurement techniques that can be used in the industry to study and monitor hydrogen flames. We expect that Machine Learning will play an important part in the analysis and post-processing of the data.<\/span><\/p>\n1. Fully Funded PhD Position in AI for decision support in water desalination<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 30\/06\/2023<\/span><\/span><\/h3>\n
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2. <\/strong><\/span>Fully Funded PhD Position in AI for power grid balancing using recommendation<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 30\/06\/2023<\/span><\/span><\/h3>\n
3. <\/strong><\/span>Fully Funded PhD Position in Operations Research & Artificial Intelligence for Sustainable Road Transport<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 02\/07\/2023<\/span><\/span><\/h3>\n
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4. <\/strong><\/span>Fully Funded PhD Position in Physics-Informed Machine Learning for Cancer Metastasis<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 02\/07\/2023<\/span><\/span><\/h3>\n
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5. <\/strong><\/span>Fully Funded PhD Position in Optical Fibre Post Processing for Quantum Sensing<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 02\/07\/2023<\/span><\/span><\/h3>\n
6. <\/strong><\/span>Fully Funded PhD Position in Photoacoustic imaging of Osteoarthritis<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 30\/06\/2023<\/span><\/span><\/h3>\n
Looking For More Funded PhD Programs? Click Here<\/span><\/a><\/span><\/strong><\/span><\/h3>\n
7. <\/strong><\/span>Fully Funded PhD Position in Photoacoustic imaging of Osteoarthritis<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 30\/06\/2023<\/span><\/span><\/h3>\n
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8. <\/strong><\/span>Fully Funded PhD Position in Interdisciplinary Perspectives on the Ethics of Digital Well-Being<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 09\/07\/2023<\/span><\/span><\/h3>\n
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9. <\/strong><\/span>Fully Funded PhD Position in Artificial Intelligence for Combinatorial Optimization<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 14\/07\/2023<\/span><\/span><\/h3>\n
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10. <\/strong><\/span>Fully Funded PhD Position in Galvanic isolation for multi-port EV fast-charging station\u00a0<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 02\/07\/2023<\/span><\/span><\/h3>\n
Looking For Funded Scholarships Programs? Click Here<\/span><\/span><\/strong><\/span><\/a><\/h3>\n
11. <\/strong><\/span>Fully Funded PhD Position in experimental investigation of flash-back in laminar hydrogen flames<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n