This ERC-funded postdoctoral position at KU Leuven focuses on the multiscale modeling of cartilage mechanics within the OA-CONNECT project, which aims to unravel why mechanical loading, typically beneficial for cartilage and chondrocytes, becomes detrimental in osteoarthritis (OA). The research bridges joint mechanics and cellular processes using a multidisciplinary approach that integrates in vitro, in silico, and in vivo methodologies. The successful candidate will develop advanced multiscale models to mechanistically relate mechanical loading at the cartilage surface to the cell’s microenvironment and molecular processes. Key responsibilities include utilizing finite element models of cartilage deformation validated by deformation microscopy and MRI, adapting gene regulatory network models to align molecular transduction processes in OA chondrocytes with bioreactor study results, and integrating imaging techniques such as PET-MRI and molecular read-outs. The project offers a unique opportunity to gain unprecedented insights into cartilage degeneration and mechanobiological mechanisms, enabling non-invasive detection of tissue and microstructural changes in both healthy and OA-affected cartilage. The postdoctoral researcher will design, execute, and analyze model-based workflows, apply inverse finite element modeling for mechanical characterization, and integrate diverse data into a coherent mechanobiological framework. Collaboration with a multidisciplinary team of engineers, biologists, and clinicians is central, as is dissemination of research through publications, conferences, and science communication. The position also involves supervising master’s and PhD students and contributing to a supportive research culture. Applicants should have a PhD in biomedical sciences or a related field, strong quantitative and modeling skills, and experience in interdisciplinary research. The appointment is full-time for one year, with the possibility of extension, and includes access to state-of-the-art molecular analysis and imaging facilities, advanced computing infrastructure, and active career development support. KU Leuven provides an inclusive and diverse research environment. The application deadline is December 1, 2025. For further details, candidates may contact Prof. dr. Ilse Jonkers or Mr. Ali Elahi.

KU Leuven invites applications for a Doctoral Researcher position in Multiscale Modeling of Cartilage Mechanics, as part of the ERC-funded OA-CONNECT project. This research aims to answer a fundamental question in osteoarthritis (OA): why does mechanical loading, typically beneficial for cartilage and chondrocytes, become harmful in OA? The project bridges joint mechanics and cellular processes through a multiscale and multidisciplinary approach, combining in vitro, in silico, and in vivo methodologies to map the pathway from mechanical stimulus to cellular response. The doctoral researcher will focus on developing advanced multiscale models that mechanistically relate mechanical loading at the cartilage surface to the cell’s microenvironment and molecular processes. Key tasks include utilizing finite element models of cartilage deformation under load, validated by deformation microscopy, high-field MRI, and clinical MRI to map strain fields. The role also involves adapting and refining gene regulatory network models to align molecular transduction processes in OA chondrocytes with results from in vitro bioreactor studies. These innovations provide unprecedented insight into cartilage degeneration and mechanobiological mechanisms, enabling non-invasive detection of changes in tissue and microstructural properties in both healthy and degenerative cartilage. As a doctoral researcher, you will design, execute, and analyze model-based workflows to study the molecular response of cartilage under mechanical load. You will integrate advanced imaging techniques, including deformation microscopy, high-field MRI, clinical MRI, PET-MRI, and molecular read-outs, and apply inverse finite element modeling for multiscale mechanical characterization. The project requires integration of in vitro, in silico, and in vivo data into a coherent multiscale mechanobiological framework, collaboration with a multidisciplinary team of engineers, biologists, and clinicians, and dissemination of research results through publications, conference presentations, and science communication. You will also supervise master’s students and contribute to an open, supportive, and collaborative research culture. Applicants must hold a Master’s degree in biomedical, mechanical, or bioengineering sciences, or a closely related field, with a strong quantitative background and affinity for biological processes. A solid background in multiscale finite element modeling and/or gene regulatory network modeling is required. Practical experience in in vitro bioreactor experiments, molecular analysis techniques, or non-invasive material testing is a plus. Demonstrated experience in interdisciplinary research, preferably at the interface of engineering, biology, and/or clinical research, is expected. A strong scientific track record supported by peer-reviewed publications and presentations at international conferences, creative and independent research mindset, strong problem-solving skills, team-oriented attitude, and excellent communication skills in English (written and oral) are required. The position offers a full-time appointment for 1 year, with the possibility of extension up to 3 years upon positive evaluation. The project is ERC-funded and provides access to state-of-the-art molecular analysis and imaging techniques, advanced computing infrastructure, and active support for career development, including mentoring, participation in international conferences, and networking opportunities. KU Leuven is committed to diversity, inclusion, and equal opportunity, fostering an ambitious and supportive research environment. Interested candidates should apply online via the KU Leuven jobsite. For further information, contact Prof. dr. Ilse Jonkers at [email protected]. The application deadline is July 30, 2026.