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Katarzyna Wac

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2 days ago

PhD in Computer Science & Digital Health / Computational Modeling of Health Trajectories in Chronic and Long-Term Conditions (Breast Cancer) University of Geneva in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 13, 2026

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Country

Switzerland

University

University of Geneva

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Keywords

Computer Science
Biomedical Engineering
Information Technology
Deep Learning
Quality Of Life
Human-computer Interaction
Digital Health
Medical Science
Breast Cancer
Salud Pública
Computational Modelling
Mobile Sensing
Bioinformatic
Patient-reported Outcome
Machine learning

About this position

PhD position in Computer Science and Digital Health at the University of Geneva, within the Quality of Life Technologies (QoL) Lab. The project focuses on computational modeling of health trajectories in chronic and long-term conditions, with a special emphasis on breast cancer.

The successful candidate will work at the intersection of machine learning, deep learning, wearable sensing, smartphone-based data collection, patient-reported outcomes, quality of life, and clinical research. The research aims to develop and validate digital measures of health that are meaningful for patients and clinicians, and to explore how sensor-derived data can complement traditional outcome measures in long-term care.

The project is embedded in the European Organisation for Research and Treatment of Cancer (EORTC) EMBED Research Project and includes a prospective longitudinal study with Swiss patients from the Breast Cancer Center of the University of Geneva Hospitals (HUG). Methods include mixed methods, interviews, surveys, focus groups, passive wearable data collection, smartphone data, and computational modeling. The candidate will also contribute to retrospective EHR data management and to the development of the mQoL Living Lab software infrastructure.

Applicants should have an MSc in computer science, bioinformatics, human-computer interaction, or a related field, with excellent results. Strong English and French proficiency is required. Experience with data science and ML tools such as pandas, scikit-learn, PyTorch, and TensorFlow/Keras is expected to be useful. The post is open only to EU/Swiss candidates because of funding constraints.

This is a fully funded PhD position for up to 5 years, with a start date no later than 1 January 2027. The application deadline is 13 July 2026. Applications must be submitted electronically as a single PDF to the listed supervisors, with further details available via the job link.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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