Publié: 11 avril 2024
Zürich
100%
Durée indéterminée
ETH Zürich
Emplois trouvés sur le web
PhD Position: Personalized Prediction and Prevention of Dropouts in Digital Biomarker Studies
100%, Zurich, fixed-term
Exciting technological advances in wearables and biosensors rapidly transform how we monitor and manage metabolic health beyond finger pricking and blood picks. Instead, passive, wrist-worn data streams hold massive potential to provide personalized insights into glucose levels and to help inform decisions about diet, exercise, and medication management in everyday life and at scale.
Project background
The CSS Health Lab is a research laboratory at the Centre for Digital Health Interventions, a joint initiative of ETH Zurich and the University of St. Gallen, dedicated to various aspects of digital health and supported by CSS, one of the largest Swiss health insurance companies. Given the increasing health and economic burden of non-communicable diseases, the lab aims to make prevention measurable, actionable, and accountable; and make preventative care successful.
To strengthen the CSS Health Lab, we offer the following position at the School of Medicine at the University of St.Gallen and ETH Zurich under the main supervision of Mia Jovanova, PhD, upcoming Scientific Director of the CSS Health Lab and Postdoctoral Research in Digital Biomarkers for Healthy Longevity, with Prof. Dr. Tobias Kowatsch and Prof. Dr. Florian von Wangenheim being co-supervisors: Research Assistant to obtain a PhD at ETH Zurich.
Job description
You must be eligible for a PhD at ETH Zurich, and you will research the design, development, and evaluation of digital biomarkers in metabolic health with a specific focus on personalized prediction and prevention of dropouts in digital biomarker studies. As part of our team, you take direct project responsibility. You will design protocols for digital biomarker studies and identify and systematically assess intervention components that promote adherence to digital biomarker studies (e.g., based on behavioral economics, health psychology, marketing, and personalized motivational messages delivered by large language model AI chatbots). You will also develop methods to predict and prevent dropouts in such studies. You will work in a highly interdisciplinary team at the intersection of computer science, medicine, and business innovation.
Your profile
You should meet the following requirements:
Your workplace
Your workplace
We offer
ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits. The average duration for obtaining a Ph.D. is 3.5-4 years. The workplace is divided between Zürich and St. Gallen. A minimum of 2 days (40%) will be in St. Gallen.
We value diversity
Curious? So are we.
We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about CSS Health Lab can be found on our website. Questions regarding the position should be directed to Professor Tobias Kowatsch E-Mail schreiben, or Giuliana Breu E-Mail schreiben (no applications).
About ETH Zürich
Curious? So are we.
We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about CSS Health Lab can be found on our website. Questions regarding the position should be directed to Professor Tobias Kowatsch E-Mail schreiben, or Giuliana Breu E-Mail schreiben (no applications).