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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); today published
- Delft University of Technology
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
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Field
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sensors. To build such quantum networks, nodes based on solid-state emitters are promising contenders. One specific type of solid-state emitters, rare-earth ions (REIs) in host crystals, are particularly
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to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be an integral part of the prestigious NWO AiNED AI-on-ONN
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jointly embedded in the research groups of Dr. Sid Kumar (Mechanics, Materials, and Computing group) and Dr. Georgy Filonenko (Functional Polymers and Sensors group). Research group of Dr. Sid Kumar
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Polymers and Sensors group). Research group of Dr. Georgy Filonenko: Functional Polymers and Sensors group: www.tudelft.nl/me/over/afdelingen/materials-science-and-engineering/research/functional-polymers
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, consumer electronics and healthcare. Our research spans from measuring and manipulating materials at the micro and nano scale, to the design of world-class sensors and actuators. You will be working in
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PhD candidates, postdocs, and faculty members. Our group focuses on understanding and mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through
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research spans from measuring and manipulating materials at the micro and nano scale, to the design of world-class sensors and actuators. You will be working in an international environment in one
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mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through the synthesis of materials and the use of advanced electrochemical methods and surface analysis
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the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and
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faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies