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Field
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Porous construction materials, such as concrete, brick, or wood, are widely utilised in built environments due to their structural strength, durability, and thermal mass. However, their
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investigate how smart acoustic sensing can enable adaptive control of the built environment. This includes exploring strategies for automatically modifying room acoustic conditions, controlling sound masking
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situ infrared spectroscopy to connect molecular reactions, peptide self-assembly and macroscopic sealing. Develop smart materials that sense danger and seal themselves We are looking for a PhD candidate
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time. You will combine porous-material synthesis, thin-film preparation and in situ infrared spectroscopy to connect molecular reactions, peptide self-assembly and macroscopic sealing. Develop smart
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the adaptive properties of peptide-coated MOFs (e.g. breathability, aggregation, chemical reactions) and derive design rules to guide experimental testing. Develop smart materials that sense danger and seal
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course for the future – a future that you can help to shape. The Department of Heritage in the Faculty of Design Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of Built
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Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS . With our expertise in the development of photonic microsystems, related technologies including nanoelectronics and wireless communication...
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competitiveness, quality assurance, and sustainability targets along with greater variations being introduced into the process mean that new approaches are required. To transition into an era of smart steel
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implementation of your research outcomes. The supervisory team consists of Prof. Zili Li and Prof. Rolf Dollevoet. The Department of Engineering Structures focuses on the development of resilient, smart and
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a complementary approach: smart glasses that use wearable AI to interpret visible lip and facial movements and convert them into audible speech. The aim is not only to improve technical recognition