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Field
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Give robots a human-like sense of touch. Develop integrated sensors and mixed-signal readout ICs for flexible electronic skin, enabling fast, robust and scalable tactile intelligence for advanced
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to advance a novel compact gas pressure sensor based on a chip-scale mechanical oscillator with ultra-low intrinsic loss. Building on a successfully demonstrated portable prototype and identified application
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classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting
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the arc melting, hot rolling, and mechanical testing equipment, including I/O, sensor feedback, and data capture. Connect the PLC layer to the higher-level Python control software through industrial
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films, including microwave resonators for frequency-domain multiplexed readout of single-photon detectors using kinetic inductance current sensors Develop and characterize superconducting nanowire single
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-driven analyses that help inform future sensor requirements. The position also provides opportunities to investigate how modern artificial intelligence and scientific machine learning techniques can
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are conducted in an international and multidisciplinary environment, bringing together expertise from across Europe in electrochemistry, energy storage, power electronics, process engineering, smart sensors, IoT
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to understand how design and planning decisions affect health and wellbeing. Key Responsibilities are to design and test a measurement protocol combining wearable sensors, environmental data, and imagery-based
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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 to run on this new
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sensors, RGB/IR cameras, video systems, insect traps, and other devices to build predictive, AI- and machine-learning based models for monitoring grain quality and detecting deterioration due to mold