Master Thesis - In-ear health monitoring with smart sensors
Core
Develop algorithms to transform raw sensor data from in-ear headphones into actionable health insights.
Role type
Master's thesis researcher (signal processing & machine learning)
Builds
Health monitoring algorithms for in-ear wearable devices
Domain
Wearable health analytics / Signal processing
Deliverable
production ML models
Required skills
Statistical signal processing, Machine learning, Algorithm development, Data exploration, Feature identification
Preferred skills
Matlab, Python, C++
Technologies
Bosch Sensortec sensors
Responsibilities
Explore sensor raw data, identify features relevant to physiological states, research and implement detection algorithms, test and refine algorithms, produce a demo
Seniority
Master's student (30 credits, 20 weeks)
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