PhD Position in Epidemiology/Digital Health: Digital Follow-up of post-Sepsis (UMZH Learn4Sepsis) — Universität Zürich

CHF 91'500 - 128'000 (est.)
Universität Zürich · Zürich (ZH)
Categoria: Sanità / Ospedali Contratto: Part-time, Full-time Salario: CHF 91'500 - 128'000 (est.)
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Location
Zürich
Contract
Part-time, Full-time
Posted
31 days ago
SalaryCHF 91'500 - 128'000 (est.)

Full description

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. The PhD candidate will be based at Department of Epidemiology and benefits from access to methodological support (Statistics, Digital Health), and extensive collaborations with researchers from the UMZH Learn4Sepsis program.

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

Your profile

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

Our employees benefit from a wide range of attractive offers. Find out more: https://www.uzh.ch/de/explore/work.html.

What we offer

Work-Life Balance

  • Flexible working models (such as part-time positions, mobile working, job-sharing)
  • Childcare at the kihz foundation of UZH and ETH

More Learning and Development

  • Wide range of continuing education courses of UZH and the Canton of Zurich
  • Language Center run jointly with ETH Zurich

Food

  • Food and drinks at reduced prices in the UZH cafeterias
  • Lunch-Check-card with UZH contribution

Healthcare

  • Special conditions on the Academic Sports Association ASVZ
  • Free seasonal flu vaccinations
  • Rest and relaxation at the quiet room in the university tower

Discounts

  • Private traffic: Carsharing, rent a vehicle, parking space
  • Digitalization: Hardware, software, mobile phone subscriptions

Conditions of Employment

  • Policies of the UZH
  • Most UZH staff are employed according to public law

International Services

  • Support for people from outside Switzerland

Campuses

  • Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
  • Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg

Working at UZH

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! More

Apply now

Questions about this listing

What salary does Universität Zürich offer for this role?

The original listing does not state a salary. Our estimate for this role and sector in Zürich is CHF 91'500 - 128'000 gross per year — an estimate, not a figure communicated by Universität Zürich. The calculator on this site converts a gross salary into 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 part-time and 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.

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