Descripción
### The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer! ###
Your responsibilities
This PhD project is embedded in Work Package 1 of the ENDOTRAIN network and aims to investigate how endocrine rhythms are affected in patients with obesity and hypertension using real-world, continuous data streams. The tasks of this PhD position are:
* Establish the data collection and monitoring infrastructure using open-source tools with support of IT specialists.
* Plan and execute specific wearable sensing studies as per general ENDOTRAIN goals and to support other collaborators in setting up similar studies.
* Gather contextual and patient-reported outcome data (e.g. using structured surveys, as well as spoken or written free text).
* Develop and validate diagnosis- and prediction algorithms using classical statistics and machine learning tools.
Your profile
We are seeking a highly motivated candidate with:
* A quantitative Master's degree (MSc or equivalent) in Statistics, Machine learning, Biomedical Sciences, Bioengineering, or a related field
* Strong interest in translational endocrinology and digital health technologies
* Willingness to interact with stakeholders (patients, clinicians)
* Some experience in information- and data management (knowledge of information storage systems/databases are an asset)
* Excellent programming or data science skills (R, Python) and interest in wearable data analysis are an asset (e.g. time series analysis, machine learning methods for prediction)
* Excellent command of written and spoken English
* Good communication skills in English (German is an asset) and capacity for interdisciplinary collaboration
Applicants must fulfil eligibility criteria for Swiss-based PhD positions and be willing to participate in training activities across Europe.
Dr. Marco Kaufmann
Coordinator of PhD program in Epidemiology and Biostatistics
epibiostat-phd@ebpi.uzh.ch