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to citizens and businesses. The successful candidate will join the Computer Vision, Imaging, and Machine Intelligence (CVI²) research group (https://www.uni.lu/snt-en/research-groups/cvi2/ ) led by Prof
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- Department of Information Technology Degree Master’s degree in Electrical Engineering, Physics Engineering, Computer Sciences, or a related Master of Science degree Occupancy rate 100% Vacancy type Research
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application date Nov 30, 2026 23:59 Department TW05 - Department of Information Technology Degree Master’s degree in Electrical Engineering, Computer Engineering, Physics Engineering, or a related Master of
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Engineering » Computer engineering Engineering » Maritime engineering Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Application Deadline 16 Aug 2026 - 23:59 (UTC) Country
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, and healthcare AI. You will contribute to the management of the research group and to the further development of the research agenda around the ERC Consolidator Grant IONIAN (https://erc
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. The "WAVES" research group (http
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-computer interfaces, audio signals for keyword spotting and artificial cochleas, and tactile signals for robot perception. Various types of bio-inspired mechanisms have been investigated in recent years
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fields, united by a shared commitment to advancing sustainable technologies that benefit society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/join-us
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fields, united by a shared commitment to advancing sustainable technologies that benefit society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/join-us
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the running infrastructures. Using cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will