PhD Position in Epidemiology/Digital Health: Digital Follow-up of post-Sepsis (UMZH Learn4Sepsis)
Uni Zürich, Switzerland
- Institution
- Uni Zürich
- Country
- Switzerland
- Position type
- PhD
- Subject area
- Medicine & Health
- Application deadline
- 29 November 2026
- Location
- Zürich, CH
- Funding
- Fully funded position
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About this position
Über die Stelle
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!
Aufgaben
- This PhD project is embedded in Work Package 5 of the UMZH Learn4Sepsis project and aims to design and initi-ate a digital follow-up cohort of persons after sepsis. For this, we will co-create a set of minimal data items and patient-reported outcomes to describe post-sepsis on different health- and daily life domains. By refining existing tools, we will develop and release an adaptive survey (including voice input options) to pilot a scalable, longitu-dinal study into life after sepsis.
- Co-designing a minimal dataset and patient-reported outcomes for post-Sepsis
- Co-developing conceptual and technical elements for setting up the adaptive survey (Key elements: knowledge trees/ontologies, database systems, natural language processing)
- Gathering and analyzing contextual and patient-reported outcome data (e.g. using – Developing and validating prediction algorithms using classical statistics and machine learning tools
- (optional) Collection and analysis of wearable sensor data
The tasks of this PhD position are:
Anforderungen
- We are seeking a highly motivated candidate with:
- A quantitative Master’s degree (MSc or equivalent) in Statistics, Machine learning, Biomedical Sciences, Bioengi-neering, or a related field
- Strong interest in person-centered health research and digital health technologies
- Willingness to interact with stakeholders (patients, clinicians)
- Some experience in information- and data management (experience with database systems, knowledge graphs are an asset)
- Excellent programming or data science skills (R, Python), e.g. for time series analysis, machine learning methods for prediction
- Experience in or willingness to acquire skills in Natural Language Processing
- 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.
Ausbildung
University
Benefits
Our employees benefit from a wide range of attractive offers. Find out more: https://www.uzh.ch/de/explore/work.html.
Kontakt
Marco Kaufmann
PhD program coordinator
epibiostat-phd@ebpi.uzh.ch
Apply directly to Uni Zürich
Emerging Scholars Council is not the employer and does not recruit for this position. It is advertised by Uni Zürich, and your application goes to them. We help students prepare and strengthen their applications.
Go to the official application page →Applications close 29 November 2026.
Contact listed in the advert
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