PhD position in computational pathology and shole slide image analysis

Contexte

The Lausanne University Hospital (CHUV) is one of five Swiss university hospitals. Through its collaboration with the Faculty of Biology and Medicine of the University of Lausanne and EPFL, CHUV plays a leading role in the areas of medical care, medical research, and training.

We are inviting applications for a fully funded PhD position focused on computational pathology , with a specific emphasis on the analysis of whole-slide images (WSIs) to distinguish between multiple primary lung tumors and metastatic disease. The successful candidate will join a dynamic interdisciplinary team working at the intersection of pathology, computational science, and machine learning.

This research will contribute to improving diagnostic accuracy in thoracic oncology by developing novel image‑based computational methods to support decision‑making in challenging clinical scenarios where multiple lung lesions are present. The project will leverage digital histopathology images and associated clinical metadata to build robust, interpretable algorithms for tumor classification, comparison, and characterization.

The PhD student will be co‑mentored by faculty with expertise in pathology, machine learning, and biomedical image analysis, and will have the opportunity to contribute to high‑impact publications and translational research.

Mission

Develop image analysis algorithms to differentiate multiple primary lung tumors from intrapulmonary metastases using WSIs

• Extract and quantify relevant histological features from tumor regions using deep learning and classical image processing
• Design computational experiments to validate and benchmark algorithms on expert‑annotated datasets
• Contribute to the development of interpretable tools that integrate into clinical workflows and support precision diagnostics

Key Responsibilities

WSI Preprocessing & Annotation

Algorithm Development

Experimental Design & Validation

Scientific Communication

Tool Support & Collaboration

Professional Growth

Profil

Nous offrons

To become an employee of the world-famous University Hospital Center from the Canton of Vaud is an assurance of :