PhD Position in Epidemiology/Digital Health: Digital Follow-up of post-Sepsis (UMZH Learn4Sepsis) — Universität Zürich
- Location
- Zürich
- Contract
- full-time
- Posted
- 2 days ago
Role overview
Epidemiology, Biostatistics & Prevention Institute
Start of employment February 2027 or upon agreement, temporary
The Epidemiology, Biostatistics & Prevention Institute is a leading institute in developing and innovating methods for Health Research and Public Health.
- Epidemiology, Biostatistics & Prevention Institute
- Start of employment February 2027 or upon agreement, temporary
- Your responsibilities
- 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.
- 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
Main responsibilities
- Your responsibilities
- 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. The tasks of this PhD position are:
- 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
Key requirements
- 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. What we offer
- Find out more: https://www.uzh.ch/de/explore/work.html. Work-Life Balance
- Flexible working models (such as part-time positions, mobile working, job-sharing)
What the company offers
- Our employees benefit from a wide range of attractive offers.
Additional details
- 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. The tasks of this PhD position are:
- Applicants must fulfil eligibility criteria for Swiss-based PhD positions.
- Find out more: https://www.uzh.ch/de/explore/work.html.
- Childcare at the kihz foundation of UZH and ETH Learning and Development
- Language Center run jointly with ETH Zurich
- Food and drinks at reduced prices in the UZH cafeterias Lunch-Check-card with UZH contribution
- Special conditions on the Academic Sports Association ASVZ Free seasonal flu vaccinations
- Rest and relaxation at the quiet room in the university tower
- Digitalization: Hardware, software, mobile phone subscriptions Conditions of Employment Policies of the UZH
- Most UZH staff are employed according to public law International Services
Notes and original content
- 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.
- The tasks of this PhD position are:
- Your profile
- What we offer
- Work-Life Balance
- Childcare at the kihz foundation of UZH and ETH
- Learning and Development
- Food and drinks at reduced prices in the UZH cafeterias
- Lunch-Check-card with UZH contribution
- Healthcare
Questions about this listing
What salary does Universität Zürich offer for this role?
Universität Zürich lists CHF 91'500 - 128'000 gross per year for this position in Zürich. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does Universität Zürich offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with Universität Zürich during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Zürich?
EU/EFTA residents living in the border zone of the country adjoining Canton Zürich can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zürich's cantonal migration office or with HR during the application.
How do I apply for this position at Universität Zürich?
Use the "Apply now" button on this page — it links directly to Universität Zürich's original listing at jobs.uzh.ch, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
