Opportunities

Openings

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 students

PhD vacancy
In silico modeling and optimization soft robotic hearts

Join a multidisciplinary consortium and develop state-of-the-art computational models to explore, optimize, and accelerate the design of an innovative soft robotic heart for HF patients worldwide..

In this project, you will develop, calibrate, and validate computational fluid-structure interaction models that describe the intrinsic mechanical behavior of our designs. You will couple your framework to existing multiscale modeling frameworks of the cardiovascular circulation to study the response of our designs to changing loading conditions and explore numerical optimization techniques to enhance the safety and efficiency of our soft artificial heart designs.

To be considered, please apply through the TU Delft HR platform

PhD vacancy
Mechanobiology of myocardial tissue

Join us on our quest to unlock the secrets of heart failure and take a deep dive into the microstructural organization and macromechanical behavior of cardiac tissue.

In this project, you will combine advanced optical imaging and biomechanical tissue testing techniques with state-of-the-art human disease modeling platforms to characterize and track the microstructural-to-macromechanical kinetics of growth and remodeling.

To be considered, please apply through the TU Delft HR platform

PhD vacancy
Surrogate modeling cardiovascular digital twins

[vacancy opening soon]


Postdocs

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 through the TU Delft HR platform

PostDoc vacancy
Computational human heart modeling

[vacancy opening soon]