Postdoc Silico modeling and optimization of soft robotic hearts

Updated: 12 days ago
Deadline: 28 Apr 2024

17 Apr 2024
Job Information
Organisation/Company

Delft University of Technology (TU Delft)
Research Field

Technology
Researcher Profile

Recognised Researcher (R2)
Country

Netherlands
Application Deadline

28 Apr 2024 - 21:59 (UTC)
Type of Contract

Temporary
Job Status

Not Applicable
Hours Per Week

40.0
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

We are looking for a Postdoctoral Researcher who will work together with the Holland Hybrid Heart (HHH) consortium on the design, fabrication, and analysis of an artificial soft robotic heart. The HHH consortium is a partnership between TU Delft, Erasmus MC, Eindhoven University of Technology, AMOLF, UTwente, Saxion, and several business partners. Together, we aim to conduct the necessary fundamental research, including the first chronic animal trials, to produce a soft artificial heart. Our goal is to mimic the natural contraction of the heart as much as possible, by generating a pulsatile flow, and coating the inside of the heart with a tissue-engineered lining. Our consortium acknowledges that this multidisciplinary project will only be successful if we work closely as a team.

In this project, your focus will be on in silico modeling of the soft artificial heart designs that are currently explored within the consortium. In close collaboration with our experimental partners, 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. Active collaboration with researchers in TUDelft’s Faculty of Mechanical Engineering and the Holland Hybrid Heart consortium will be integral to the project’s success.

As the successful candidate for this position, you will be directly involved in mathematical modeling and software development, processing and analyzing data, and reviewing scientific literature. You will actively participate in (bi)weekly lab meetings, write scientific articles, and give presentations at national and international conferences. You will also take part in teaching and supervision activities within the Faculty of Mechanical Engineering of Delft University of Technology. More information on the team and research can be found on https://peirlincklab.com .

Keywords: soft robotics, fluid-structure interaction, topology optimization, lumped parameter networks, device modeling, heart failure


Requirements
Specific Requirements
  • You are a highly independent, motivated, and innovative individual who likes to solve complex numerical problems and can efficiently work in a highly multidisciplinary team.
  • You have a strong background in linear and tensor algebra, non-linear mechanics, advanced finite element analysis, computational solid mechanics, computational fluid mechanics, and high-performance computing.
  • You have excellent spoken and written English language skills, and demonstrable collaborative, communicative and organizational competences.
  • You have a PhD in aerospace engineering, applied mathematics, mechanical engineering or other related fields.
  • Affinity with physics-informed machine learning, computational VVUQ (verification, validation, and uncertainty quantification), experimental device testing, cardiovascular (patho)physiology, and strong and proven computer programming skills (C++, Fortran, Python, Julia, or equivalent) are highly appreciated.

Please highlight your specific skills and relevant prior experiences for this position explicitly in your motivation letter. Motivation letters that do not address any of these requirements will not be considered.


Additional Information
Benefits

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (salary indication: € 4.036 - € 5.090 per month gross). The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service . This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

This postdoc position has a fixed-term contract of 2-3 years.


Selection process

Are you interested in this vacancy? We invite you to submit a complete application by using the application button by April 28, 2024. The application should include a:

  • Cover letter in which you describe your personal motivation and specific qualifications for this position (max 1 page).
  • 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.
  • Three most relevant journal publications for the position.

Only complete applications will be considered. Screening of applicants will start as soon as applications are received and will continue until the position is filled.

A pre-employment screening can be part of the selection procedure.

You can apply online. We will not process applications sent by email and/or post.

Please do not contact us for unsolicited services.


Website for additional job details

https://www.academictransfer.com/340328/

Work Location(s)
Number of offers available
1
Company/Institute
Delft University of Technology
Country
Netherlands
City
Delft
Postal Code
2628 CD
Street
Mekelweg 2
Geofield


Where to apply
Website

https://www.academictransfer.com/en/340328/postdoc-silico-modeling-and-optimiza…

Contact
City

Delft
Website

http://www.tudelft.nl/
Street

Mekelweg 2
Postal Code

2628 CD

STATUS: EXPIRED

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