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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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research center and two companies. The project has partners from eight different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal processing
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computing and analog signal processing, targeting applications in the fields of communication, sensing, geolocalization, space and biomedical. This Ph.D. project will take place at DTU Electro. Apart from
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and two companies. The project has partners from eight different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting
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of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing, geolocalization, space and biomedical. This Ph.D. project will take place at DTU Electro
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different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing
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universities, one research center and two companies. The project has partners from eight different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal
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use. Work description The selected PhD student will be responsible for the full development of the neuromorphic BCI system. Tasks will include: Designing a 32-channel, low-power analog front-end
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(based solely on DL) with XAI, to incorporate subtle human judgement, thus aiming to bring robotic systems closer to the thresholds of human cognition Designing XAI-based methods in robotics and computer