Thesis Topic: Glucose Observation and Wearable Use for Prevention – GLOW UP

Project Overview
We invite motivated Master’s students to contribute to the GLOW UP (Glucose Observation and Wearable Use for Prevention) study — an interdisciplinary research project exploring how lifestyle factors such as physical activity, sleep, and diet, tracked with the help of digital tools (e.g., a smart ring and app-based meal tracking), can support diabetes prevention.
Students will gain first-hand experience in data collection, management, and preliminary analysis with real-world data.
For more information, visit:
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Project overview: https://www.c4dhi.org/projects/glow-up-glucose-observation-and-wearable-use-for-prevention/
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Study website: https://www.glow-up.life
Key Responsibilities
- Develop a clear approach, research question, and hypothesis to guide the process.
- Support data collection and participant coordination during the ongoing GLOW UP study.
- Assist in data management, cleaning, and preliminary statistical analysis.
- Collaborate with the research team on study documentation and reporting.
- Contribute to the interpretation of early findings and preparation of scientific outputs (e.g., conference abstracts or manuscripts).
We offer
- The opportunity to work with a multidisciplinary research team at the intersection of data science, epidemiology, and behavioral medicine.
- Access to unique, real-world wearable and glucose monitoring data.
- Hands-on training in data collection, handling, and analysis.
- Flexible working opportunity
- If your work excels, we will support your efforts to publish in leading journals
Requirements
- Enrollment in a Master’s program in natural sciences, epidemiology, health sciences, medicine, clinical sciences, or related fields.
- Interest in digital health, metabolic health, and data.
- Basic knowledge of data analysis tools (e.g., R, Python).
- Strong attention to detail, reliability, and ability to work independently.
- Confident communication skills in German, both spoken and written, for interaction with study participants.
Key Information
- Start: Q1-Q2 2026
- Location: Hybrid – on-site participation in data collection and remote work for analysis and writing
- Duration: 3-6 months (or as discussed)
- Contact: Interested students should submit a brief statement of interest and their CV to Victoria Brügger (victoria.bruegger@unisg.ch)
