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embedded FPGA-based intelligence near seismic sensor arrays, you will explore methods to maximize prediction performance while minimizing data transmission and latency. Your key tasks include: Evaluating
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and
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teams - technologies for innovative products in a wide range of markets such as automotive, industrial and aerospace. At our Cottbus site, we develop intelligent sensor systems for demanding
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within water distribution systems. The research will investigate how network connectivity, sensor information, smart-meter data, operational conditions, and information from neighbouring areas can be
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an IoT sensor network in cocoa farms in Ghana. You are expected to address data integration challenges, including (1) spatial misalignment of networks , (2) temporal misalignments of observations, (2
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wideband current-sensing technology; the other focuses on sensor characterization and on electrical and calorimetric efficiency measurements. Choose the research direction that fits you: PhD 1 on
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student will undertake a three-month industrial placement with Crover Ltd, gaining hands-on experience in applied robotics, sensor optimisation and product development within a collaborative SME setting
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Übersicht Marie Skłodowska-Curie Doctoral Training Network – Coupled Problems for Decarbonization in Industry and Power Generation (COMBINE) 100%, Zurich, fixed-term Drucken The Marie Skłodowska
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investigate the influences of deposition orientation and robotic flexibility on repair quality, followed by developing a sensor-integrated monitoring and real-time feedback control system to enhance process
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Marie Sklodowska-Curie Actions Doctoral Network BlueOcean This PhD aims to develop novel robotic monitoring and data processing methods to document changes in dynamic seafloor environments over large