Postdoc: Multi-Scale Cardiac Growth & Remodeling

Delft University of Technology; Delft; On-site; EUR 48,000 - 62,000; Full time

Job summary

Delft University of Technology seeks a postdoctoral researcher to advance multi-scale mechanobiology models of cardiac growth and remodeling within the VITAL project. You will implement bio-chemo-mechanical laws in FE frameworks, couple tissue mechanics to systemic inputs, and contribute to patient-specific simulations.

You will collaborate with PhD and MSc students in a dynamic lab at TU Delft, focusing on rigorous computation, machine learning integration, and scientific software development.

Qualifications

• PhD in mechanical engineering or closely related field.
• Strong background in nonlinear continuum mechanics and FEM.
• Experience with computational solid/soft tissue mechanics.
• Fluent in Python, C++, and scientific computing tooling.
• Excellent analytical and English communication skills.

Responsibilities

• Develop bio-chemo-mechanical growth and remodeling laws for cardiac tissue.
• Implement laws in finite element cardiac mechanics frameworks.
• Couple tissue mechanics to systemic hemodynamic inputs and neurohumoral signals.
• Contribute to patient-specific and cohort-wide virtual twin simulations.
• Calibrate models with sensitivity analyses and uncertainty quantification.
• Develop reusable scientific software and disseminate findings in journals.

Skills

Nonlinear mechanics

FE modeling

Multiscale biomechanics

Python

C++

Git

English proficiency

Education

PhD in mechanical engineering

Background in computational science/biophysics

Tools

Abaqus

FEniCS

deal.II

JAX-FEM

Job description

Delft University of Technology seeks a postdoctoral researcher to advance multi-scale mechanobiology models of cardiac growth and remodeling within the VITAL project. You will implement bio-chemo-mechanical laws in FE frameworks, couple tissue mechanics to systemic inputs, and contribute to patient-specific simulations.

You will collaborate with PhD and MSc students in a dynamic lab at TU Delft, focusing on rigorous computation, machine learning integration, and scientific software development.