About the project
This project will focus on the use of FLOWBIO’s S1 wearable, biometric wearable data and lab-based physiological data to develop novel machine learning, artificial intelligence (AI) implementations and developments for hydration status and performance.
This project is highly interdisciplinary and covers the fields of data science, machine learning, statistics, biometrics and (sports) physiology. You will have the opportunity to collaborate closely with academic institutions, professional athletes and will help with in-field testing at sports events. You will be expected to spend part of your PhD on-site at FLOWBIO's facilities, including its performance lab, and attend data collection at events across the globe.
FLOWBIO is on a mission to unlock the next generation of human performance data; reinventing the data acquisition form-factor from lab-based, expensive, and costly, equipment, to small, consumer hardware products. Our product, the S1, is already in the hands of athletes, giving them never-before-access to performance data. Our partners include Europe’s leading sport supplement brands, pro-cycling Teams, and a number of TeamGB athletes. FLOWBIO is partnering with the University of Southampton by funding this project in Advanced Hydration Research. Real-world sensor data, lab-gold standard measurements and wearable data is used to develop novel insights into athlete’s hydration needs.
In addition to the supervisory team at the University of Southampton, this project also has the following external supervisor:
- Dr. Roeland Mingels (FLOWBIO)
