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closely with signal processing pipelines built on real measurement data — including baseband I/Q signals — and contribute to both algorithm development and experimental validation. The role involves close
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machine learning models directly on these edge devices for real-time anomaly detection and identification. You will develop robust signal acquisition and processing pipelines, translate research-grade
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-coupled power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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, with particular attention to care ethics, participatory processes, and social innovation as guiding perspectives. The successful candidate will contribute to interdisciplinary research activities
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, or cybersecurity principles. Familiarity with signal processing, particularly with high-frequency sensor data (such as acoustics or vibration) is an advantage. Programming skills: You are proficient in Python
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sessions, utilizing cues like facial expressions, posture, and movements. These signals are crucial for understanding the therapy process but can be difficult to measure. The lab develops AI technology that
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. The candidate will also carry out 3-month internship at the European Broadcasting Union (EBU) in Geneva. Your competencies You have a strong profile within computer science, computer engineering or similar, and
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creative design processes. The lab will provide access to shared resources, joint supervision, and interdisciplinary training in AI, Life Cycle Assessment (LCA), and computational design tools. The objective
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have a strong profile within computer science, computer engineering or similar, and have an interest in media deliver infrastructure, including Edge and Cloud computing We expect: A Master’s degree in