AI-driven prediction of cartilage degeneration (PhD Position) KU Leuven in Belgium

This fully funded PhD position at KU Leuven offers an exciting opportunity to join the ERC-funded OA-CONNECT project, supervised by Prof. dr. Ilse Jonkers with co-supervision by Dr. Maarten De Vos and Dr. Lennart Scheys. The project aims to unravel why mechanical loading, typically beneficial for cartilage health, becomes detrimental in osteoarthritis (OA). OA-CONNECT is an interdisciplinary research program that bridges joint-level biomechanics and cellular processes using in vitro, in silico, and in vivo methodologies. The PhD research will focus on developing AI-driven, patient-specific predictive models for cartilage degeneration, integrating real-world biomechanical data (from wearables and video analysis), clinical data (medical imaging and biomarkers), and multiscale computational models.

As a PhD researcher, you will process and analyze biomechanical data to quantify joint loading, implement and extend musculoskeletal and cartilage loading models, develop and evaluate AI models (including deep learning), build probabilistic models to predict disease progression, and integrate diverse datasets into a unified framework. Model validation will be performed using data from a prospective clinical cohort of knee osteoarthritis patients. The project emphasizes reproducible analysis pipelines, open research practices, and close collaboration with a multidisciplinary team of engineers, clinicians, and data scientists. Dissemination of research through publications, conferences, and outreach is expected.

Applicants should have a master’s degree in engineering sciences or biomedical engineering, with strong foundations in artificial intelligence or data science. Essential skills include programming (Python, MATLAB, or similar), analytical and problem-solving abilities, and excellent English communication. Experience with musculoskeletal modeling (OpenSim), multiscale modeling, or machine learning in healthcare is a strong asset. Candidates should be motivated, independent, and collaborative, with a keen interest in interdisciplinary research at the intersection of AI, biomechanics, and clinical science.

The position is fully funded for four years under a prestigious ERC Advanced Grant, with a formal evaluation at the end of the first year determining continued funding. Candidates are expected to apply for a personal PhD fellowship (FWO) during their first year, supported by the institution. KU Leuven provides access to unique multimodal datasets, a state-of-the-art research environment, and strong support for scientific and professional development, including mentoring, conference participation, and networking. The university is committed to diversity, inclusion, and equal opportunity, offering support for accessibility and a respectful academic environment.

To apply, submit your application via the KU Leuven job portal. For further information, contact Prof. dr. Ilse Jonkers at [email protected].