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structures. Optimize wearability and user comfort while ensuring high-quality signal acquisition. Design and evaluate biosignal amplifier circuits, conduct signal quality analysis and contribute to improving
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or physician-scientist applicants with a research program in signal processing and analyses of biosignals or other signals with techniques that are applicable to human biosignals (e.g. electrocardiograms
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psychiatric disorders, involving precision medicine, AI-powered and AI-enabled neuromodulation and physical rehabilitation system, including human physiological sensing, biosignal processing, feature extraction
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considered for this position. Desired qualifications: Experience with biosignal processing (EMG, ECG, HRV, IMU) or wearable sensing. Experience with interactive system design, serious games, or real-time human
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. Candidates who already hold a PhD degree will not be considered for this position. Desired qualifications: Experience with biosignal processing (EMG, ECG, HRV, IMU) or wearable sensing. Experience with
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: Strong skills in developing biosignal processing algorithms and implementing machine learning models for data interpretation. Technical Oversight: Ability to monitor complex data collection processes and
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the implementation of robust research pipelines for mobile and decentralized phenotyping, including data collection workflows, biosignal processing, quality control, synchronization, feature extraction and
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29.04.2026, Academic staff To strengthen our research group Metabolic Function & Biosignals / Section II, the Leibniz Institute for Food Systems Biology at the Technical University of Munich