PhD: AI-Driven Pathology for Invasive Lobular Breast Cancer

Karlstad University; Leuven; Sur place; EUR 26 000 - 32 000; Plein temps

Résumé du poste

KU Leuven is offering a fully funded PhD position in pathology foundation models for invasive lobular breast cancer. The project is part of the M4GIC-ILC consortium and spans histopathology, radiology, molecular data and AI to develop robust models across hospitals and scanners.

The PhD researcher will fine-tune and benchmark models on H&E and immunohistochemistry slides, evaluate representations, and contribute software tooling and publications within an international team.

Qualifications

• Master's degree in computer science or a closely related field.
• Strong programming skills, preferably Python, with ML/DL experience.
• Experience in computer vision, digital pathology, and whole-slide image analysis is advantageous.
• Familiarity with self-supervised learning, foundation models, and high-performance computing.

Responsabilités

• Fine-tune and benchmark pathology foundation models on multi-site whole-slide images.
• Investigate self-supervised and parameter-efficient fine-tuning methods.
• Collaborate with international researchers across pathology, radiology and molecular sciences.
• Contribute reusable software, model documentation, and publications.

Connaissances

Python

Machine learning

Computer vision

Self-supervised learning

Foundation models

Multiple-instance learning

High-performance computing

English communication

Formation

Master's degree in computer science or related field

Outils

PyTorch

Jupyter

CUDA

TensorFlow

Description du poste

KU Leuven is offering a fully funded PhD position in pathology foundation models for invasive lobular breast cancer. The project is part of the M4GIC-ILC consortium and spans histopathology, radiology, molecular data and AI to develop robust models across hospitals and scanners.

The PhD researcher will fine-tune and benchmark models on H&E and immunohistochemistry slides, evaluate representations, and contribute software tooling and publications within an international team.