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The PhD will develop AI methods and approaches to enable accurate characterization of metal scrap, for more efficient metal recovery and recycling Job description The volume of available metal scrap
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impact by benchmarking your silicon prototype against traditional DSP methods. You will measure system-level improvements on actual analog test chips in NXP's labs. You will be supervised by Dr. Chang Gao
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. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its
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circuits (PMICs) for sustainable and autonomous sensing systems. The goal of this PhD project is to develop a fully integrated energy-extraction chip that efficiently converts mechanical energy into
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applied research with a focus on design-for-test and the aim to deliver functional building blocks for extending process design kits Information Photonic integrated circuits - or optical chips - have
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the functionalities with[BB2] extreme requirements on speed and accuracy, for example to make the AI chips of the future. Translating requirements on the dynamical behaviour of the system as whole to design
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production chains, starting from raw materials to high-end products made from these steels. One of the paths to reduce CO2 emissions in steelmaking is the use of scrap. This will inevitably entail significant
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), scrap processing methods, and the utilisation of alternative carbon sources. It aims at evaluating the “transition steps” towards the production of green steel, considering specifically a selection of the
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the electricity grid, which our 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
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Can scrap steels become the future of high-performance 3D printing? Join us in reshaping metal manufacturing by turning industrial waste into precision-engineered components through 3D-printing! Job