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technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other
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the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins using physics-informed learning approaches, with specific applications to intelligent transportation
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from the Institute of Sensors and Signals (ISS) at Heriot-Watt University and Prof. Mike Davies at the University of Edinburgh, Leonardo staff, PhD students and the other PDRAs at the collaborating
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Researcher with Prof. Mikko Möttönen being your direct superior. The QCD group ( https://www.aalto.fi/en/department-of-applied-physics/quantum-computing-and-devices-qcd ) is one of the leading groups working
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Since 2006, the University of Luxembourg has invested in its own High-Performance Computing (HPC) facilities. A special focus was placed on developing large computing power combined with massive
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Since 2006, the University of Luxembourg has invested in its own High-Performance Computing (HPC) facilities. A special focus was placed on developing large computing power combined with massive
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Associate, you will develop AI-enhanced Digital Twins for solar energy systems, enabling real-time monitoring, predictive maintenance, and performance optimization. You will design modular architectures
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robots. They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. Current solutions
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. Charalampos Orfanidis and Prof. Paul Pop , head of Embedded Systems Engineering section at DTU Compute. You can read more here about working in our section, at DTU and in Denmark. If you are applying from
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. Neil Sinclair and Prof. Marko Lončar), where TFLN devices will be fabricated at DTU and TFLT at Harvard. Scientific Environment The project is funded by The Novo Nordisk Foundation and anchored at DTU