Master's thesis: Ambient sensing for digital health biomarkers (f/m/div.)

Role Summary

Passive-ambient smart home sensors offer a unique, data protection-preserving opportunity to continuously monitor health and functional independence in senior living. By analyzing subtle patterns of everyday life (e.g. use of household appliances, room changes, door movements), we can derive digital biomarkers that serve as early indicators of cognitive, metabolic or physical health deteriorations.

As part of our research team, you will delve deeper into ambient sensing, analyze real-world in-home data sets, and support the development of innovative models to assess behavioral health indicators. You will conduct a comprehensive literature review on ambient sensing for healthcare applications. In addition, you will prepare and analyze passive sensor data (activity, presence, power consumption) from our multi-home study cohort. You research, develop, establish and validate mathematical scoring algorithms that consolidate meaningful insights from the data.

In addition, you will examine secondary behavioral biomarkers and develop concepts such as tracking kitchen appliances in the context of nutrition and patterns of mobility during sleep. You will also validate and demonstrate your algorithms in controlled environments, including a health-focused tiny house. Finally, you document research results and code, evaluate the results and prepare them for internal presentations and a possible scientific publication.

Requirements

Education: Master's degree in the field of computer science, data science, medical technology, biomedical technology, physics or comparable, with very good academic achievements

Experience and knowledge: Very good knowledge of Python and common data science libraries (e.g. Pandas, NumPy, Scikit-learn); in-depth understanding of time series analysis, statistical modeling or machine learning; Knowledge of smart home systems (e.g. Home Assistant) or the processing of sensor data is an advantage

Personality and way of working: You are characterized by a methodical problem analysis, structure your work systematically and independently drive projects forward towards central goals

• Work routine: Your presence on site is required
• Enthusiasm: You are enthusiastic about interdisciplinary digital health research and enjoy presenting complex results in an understandable way
• Languages: Business fluent English

Benefits

Start: by prior arrangement

Duration: 6 months

• The prerequisite for this thesis is enrollment at a college/university. Please attach your CV, your transcript of records, the examination regulations and - if necessary - a valid work and residence permit.
• For us, diversity and inclusion are not just trends, they are firmly anchored in our corporate culture. We therefore welcome all applications – regardless of gender, age, disability, religion, ethnic origin or sexual identity.

About the Company

At Bosch, we shape the future by developing high-quality technologies and services that inspire and enrich people's lives. Our promise to our employees is rock solid: We grow together, we enjoy our work and we inspire each other. Join us and feel the difference. Robert Bosch GmbH looks forward to your application!

Do you need further information about the position?

Jan Rudolph (department)

+49 711 811 16953

Work #LikeABosch starts here: Apply now!