Master Thesis Ambient Sensing for Digital Health Biomarkers
Core
Develop mathematical scoring algorithms and behavioral health models using passive ambient sensor data to monitor cognitive, metabolic, and physical health decline in senior living environments.
Role type
Master Thesis Researcher (Ambient Sensing & Digital Health)
Builds
Digital biomarkers and behavioral health scoring models
Domain
Digital Health / Ambient Sensing / Senior Living
Deliverable
production ML models
Required skills
Python, time-series analysis, statistical modeling, machine learning, sensor data processing
Preferred skills
Smart home systems (Home Assistant), nutrition tracking, sleep/mobility pattern analysis
Technologies
Pandas, NumPy, Scikit-learn, Home Assistant
Responsibilities
Perform literature review on ambient sensing for health, preprocess and analyze passive sensor data, research and validate mathematical scoring algorithms, investigate secondary behavioral biomarkers, validate algorithms in controlled environments, document findings and evaluate results for presentations/publication
Seniority
Master Thesis Researcher