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Description of the offer : A substantial portion of today's magnetism research community dedicates its efforts to achieving highly integrated, rapid, and energy-efficient information and
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Description of the offer : Do you want to contribute to a future where we can harvest energy from waste heat using a novel magnetothermal device, that you will get to help realize? If yes, this PhD
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viable candidate for energy-efficient smart edge-computing devices. -> You will be part of an exciting Horizon Europe consortium (https://www.skyann.eu) working towards building Skyrmionic Artificial
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the neurons in our brains. Such neural networks are highly efficient at recognition, classification and prediction tasks and could consume less energy in performing these tasks than current computing schemes
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are used to mimic the neurons in our brains. Such neural networks are highly efficient at recognition, classification and prediction tasks and could consume less energy in performing these tasks than current
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efficiency of potential future magnonic devices. The postdoc should have a background in experimental condensed matter physics and experience with femtosecond optical lasers or x-ray facilities.
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: Super Energy Efficient Devices enabled by Quantum Materials”. This project is funded by Intel Corp., the world leading microprocessor company. The research topic encompasses the interconversion between