Postdoc: 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!
Postdoc Data- and Physics-based Identification of Soft Tissue Mechanics
Designation: Postdoctoral Researcher
Research Area: Soft Tissue Biomechanics
Location: Delft University of Technology (TU Delft), Netherlands
Eligibility/Qualification:
- You are a highly independent, motivated, and innovative individual who likes to solve complex problems and can efficiently work in a highly multidisciplinary team.
- You have, or are about to acquire, a Ph.D. in biomechanics, solid mechanics, mechanical engineering, biomedical engineering, or other related fields.
- You have excellent analytical and problem-solving skills.
- You have 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.
- You have excellent spoken and written English language skills*, and demonstrable collaborative, communicative, and organizational competences.
- Affinity with inverse problems, optimization technical, experimental tissue testing, and/or soft tissue biomechanics is a plus.
Job Description:
It is widely recognized that unbalanced deformation and loading of cardiovascular tissues lead to pathological growth and remodeling processes. Therefore, quantification of the tissue’s in vivo stress state holds important clinical diagnostic and prognostic opportunities in the management of cardiovascular disease. Unfortunately, data sparsity, parameter uncertainty, and the highly nonlinear and anisotropic behavior of these tissues pose significant challenges to the accurate identification of the in vivo stress state. In this project, you will explore inverse data-driven and physics-based approaches and integrate multi-modal and multi-fidelity biomechanics tissue testing data to advance insights into the ex vivo and in vivo mechanical behavior of various cardiovascular tissues.
As a postdoctoral researcher, you will help us design and run research lines involving collaboration with PhD and MSc students. You will develop novel data-driven and physics-based modeling techniques, conduct and analyze experimental studies, write scientific articles, present your work at (inter)national conferences, and support educational activities. You will also receive mentorship support towards building an academic or industrial career following the postdoc tenure.
How to Apply:
Are you interested in this vacancy? Please apply no later than 31 May 2024 via the application button and upload:
- A cover letter in which you describe your personal motivation and specific qualifications for this position (max 1 page).
- Your curriculum vitae, including a list of your publications and the contact information of three (academic and/or industrial) references.
- Academic transcript, including grades for your qualifying degrees (BSc, MSc, PhD).
- A digital copy of your three most relevant research articles.
Notes:
- You can apply online. We will not process applications sent by email and/or post.
- Please do not contact us for unsolicited services.
- Only complete applications will be considered.
Last Date for Apply: 31 May 2024
