Are you interested in cardiovascular biomechanics, physics-based modeling and/or machine learning techniques? We are looking for talented and motivated researchers to join our team.

PhD candidates

PhD vacancy
Surrogate modeling cardiovascular digital twins

Are you interested in scientific machine learning and physics-based modeling of the patient-specific heart and vasculature? We are looking for a motivated and independent PhD candidate to develop highly efficient and robust surrogate models of a multi-scale cardiovascular ‘digital twin’ modelling platform.

In this project, you will combine advanced physics-based models of the human heart and vasculature with the latest breakthroughs in machine learning to develop scalable and robust surrogate models of cardiovascular digital twins.

To be considered, please study the full call and apply through the TU Delft HR platform

PhD vacancy
In silico modeling and optimization soft robotic hearts

[vacancy closed]

PhD vacancy
Mechanobiology of myocardial tissue

[vacancy closed]


PostDoc vacancy
Data- and physics-based identification of soft tissue mechanics

Join us on our quest to overcome a long-standing research challenge in soft tissue biomechanics through the combination of multi-modal experimental tissue testing data, machine learning and physics!

We are looking for a candidate who holds, or is about to obtain, a PhD degree in Engineering (Mechanics, BioMechanics, BioMedical, Aerospace, Mathematics or equivalent) and has a strong background in linear and tensor algebra, non-linear mechanics, advanced finite element analysis, computational solid mechanics, high-performance computing, data-driven approaches, and physics-informed machine learning.

To be considered, please apply using the following link

PostDoc vacancy
Computational human heart modeling

[vacancy opening fall 2024]