PhD: AI-Driven Multimodal Fusion for Rare Diseases

Karlstad University; Leuven; Sur place; EUR 25 000 - 31 000; Plein temps

Avantages offerts par ce poste

Salary and mobility allowance

Family allowance

Holiday pay

Hospitalization insurance

Commuting cost reimbursement

Sports facilities

Childcare facilities

Résumé du poste

KU Leuven invites applications for a 4-year PhD on AI-driven multimodal data fusion models in rare diseases, hosted in the Department of Human Genetics, Leuven, Belgium. The successful candidate will work under Prof.

Alejandro Sifrim with international co-supervisors. You will develop zero-shot multimodal fusion models using spatial and single-cell omics, histopathology, and clinical data to enable diagnostic prediction, with secondments at University of Manchester and Spotlight Pathology Ltd.

Qualifications

• Master's degree in Bioinformatics, Computer Science, AI, Bioscience Engineering or related field obtained by start date.
• Applicants must be doctoral candidates, not already holding a doctoral degree, and admissible to KU Leuven Doctoral School of Biomedical Sciences.
• Mobility rule: cannot have resided or carried out main activity in Belgium for more than 12 months in the 36 months before recruitment date.

Responsabilités

• Develop and benchmark zero-shot multimodal fusion models for rare disease prediction.
• Integrate spatial and single-cell multi-omics data with histopathology and clinical information for diagnostic prediction.
• Develop machine-learning strategies for multimodal representation learning and integration of complex datasets.

Connaissances

Python

PyTorch

Machine learning

High‑dimensional data analysis

Linux / HPC

Git

Reproducible workflows

English language

Interdisciplinary collaboration

Formation

Master's degree in Bioinformatics

Outils

Git

Conda

Snakemake

Nextflow

Description du poste

KU Leuven invites applications for a 4-year PhD on AI-driven multimodal data fusion models in rare diseases, hosted in the Department of Human Genetics, Leuven, Belgium. The successful candidate will work under Prof.

Alejandro Sifrim with international co-supervisors. You will develop zero-shot multimodal fusion models using spatial and single-cell omics, histopathology, and clinical data to enable diagnostic prediction, with secondments at University of Manchester and Spotlight Pathology Ltd.