PhD: AI-Driven Multimodal Fusion for Rare Diseases

KU LEUVEN; Belgique; Sur place; EUR 32 000 - 42 000; Plein temps

Résumé du poste

KU Leuven in Belgium invites applications for a Doctoral Researcher position focused on developing and benchmarking multimodal AI methods for disease prediction. The project combines histopathology with multi-omics data to learn robust cross-modal representations in an international consortium.

The MSCA SPACE-MEL network funds the 48-month program, with an intended start in 2027, offering a competitive salary and family allowances where applicable. English proficiency required.

Qualifications

• Master's degree in Bioinformatics, Computer Science, AI, Bioscience Engineering or related field.
• Applicants must be doctoral candidates admitted to KU Leuven Doctoral School of Biomedical Sciences.
• Mobility rule: no residence in Belgium >12 months in the last 36 months before recruitment.

Responsabilités

• Develop and benchmark zero-shot multimodal fusion models for rare disease prediction.
• Integrate spatial and single-cell multi-omics with histopathology and clinical data for robust cross-modal representations.
• Advance ML strategies for multimodal representation learning and data integration within an international consortium.

Connaissances

Python

PyTorch

Machine learning

Multimodal learning

Linux & HPC

Git

Workflow tools

English proficiency

Formation

Master's degree in Bioinformatics/CS/AI/Bioscience Eng

Outils

Snakemake

Nextflow

Conda

Docker

Git

Description du poste

KU Leuven in Belgium invites applications for a Doctoral Researcher position focused on developing and benchmarking multimodal AI methods for disease prediction. The project combines histopathology with multi-omics data to learn robust cross-modal representations in an international consortium.

The MSCA SPACE-MEL network funds the 48-month program, with an intended start in 2027, offering a competitive salary and family allowances where applicable. English proficiency required.