Job Opportunity at the University of Zurich
The University of Zurich, Switzerland's largest university, offers a variety of attractive positions across numerous subject areas and professional fields. With a workforce of around 10,000 employees and 12 active professional apprenticeship streams, we provide an inspiring environment that fosters cutting-edge research and top-class education. Join us and put your talent and skills to work!
Your Responsibilities
This PhD project is part of Work Package 5 of the UMZH Learn4Sepsis project and focuses on designing and initiating a digital follow-up cohort for individuals after sepsis. The objective is to co-create a comprehensive set of minimal data items and patient-reported outcomes to accurately depict the post-sepsis experience across various health and daily life domains. We aim to refine existing tools and develop an adaptive survey (including voice input options) to pilot a scalable, longitudinal study about life after sepsis. The key tasks for this PhD position include:
- Co-designing a minimal dataset and patient-reported outcomes for post-sepsis.
- Co-developing conceptual and technical elements for establishing the adaptive survey (including knowledge trees/ontologies, database systems, and natural language processing).
- Gathering and analyzing contextual and patient-reported outcome data.
- Developing and validating prediction algorithms using classical statistics and machine learning tools.
- Collection and analysis of wearable sensor data.
Your Profile
We are seeking a highly motivated candidate with the following qualifications:
- A quantitative Master's degree (MSc or equivalent) in Statistics, Machine Learning, Biomedical Sciences, Bioengineering, or a related field.
- A strong interest in person-centered health research and digital health technologies.
- A willingness to engage with stakeholders, including patients and clinicians.
- Some experience in information and data management (experience with database systems and knowledge graphs is an asset).
- Excellent programming or data science skills (e.g., R, Python), particularly for time series analysis and machine learning methods for prediction.
- Experience in or willingness to acquire skills in Natural Language Processing.
- An excellent command of written and spoken English; knowledge of German is an asset.
- Good communication skills and the ability to collaborate across interdisciplinary teams.
Applicants must meet the eligibility criteria for Swiss-based PhD positions.
How to Apply
Apply online using the form below. Only applications matching the job profile will be considered.
For further information, please contact:
Marco Kaufmann
PhD Program Coordinator
Work locationZürich, Switzerland