PhD Position Scientific Machine Learning and Surrogate Modeling for Cardiovascular Digital Twin[...]

PhD Position Scientific Machine Learning and Surrogate Modeling for Cardiovascular Digital Twins, Delft

Client :

Delft University of Technology (TU Delft)

Location : Delft, Netherlands

Job Category : Other

EU work permit required :

Job Reference :

086d1811a02c

Job Views : Posted :

24.01.2025

Expiry Date : 10.03.2025

Job Description :

A cardiovascular digital twin is a physics-based computer simulation that models an individual's health and disease states to aid decision-making. These high-fidelity models are often computationally expensive, limiting their personalization and real-time clinical use. In this project, we aim to develop highly efficient data-driven surrogate models for parametrized partial differential equations, with application to computational cardiology.

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. These surrogate models will be used to enhance personalized treatment planning and post-treatment monitoring for patients suffering from circulation overload disorders, specifically systemic hypertension, heart failure (with / without preserved ejection fraction), and hemodynamically complicated atrial septal defects.

The research will be conducted in the Department of BioMechanical Engineering at Delft University of Technology (TU Delft) under the supervision of dr. ir. Mathias Peirlinck. The Peirlinck Lab integrates multimodal experimental data, physics-based modeling, and machine learning techniques to understand, explore, and predict the multiscale behavior of the human heart and cardiovascular system. More information on the research and team can be found on the lab's website. This research is part of the VITAL project, a large international collaboration developing a comprehensive, clinically validated, multi-scale, multi-organ ‘digital twin’ modelling platform that is driven by and can represent individual patient data acquired both in the clinic and from wearable technology.

Responsibilities :

• Develop scientific machine learning algorithms.
• Develop and run high-performance computer simulations.
• Construct pipelines for model personalization to structural and functional data.
• Develop APIs between various software codes.
• Participate in (bi)weekly lab meetings, write scientific articles and reports.
• Give presentations and workshops at national and international conferences.
• Participate in teaching and supervision activities within the Faculty of Mechanical Engineering.

Requirements :

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.

Conditions of Employment :

Fixed-term contract : 4 years.

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1.5 year contract with an official go / no go progress assessment within 15 months, followed by an additional contract for the remaining 2.5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School, which provides an inspiring research environment with an excellent team of supervisors, academic staff, and a mentor.

The TU Delft offers a customizable 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, which provides information for new international employees to help you prepare for relocation and settle in the Netherlands.

Employer :

Delft University of Technology

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering, and design. It delivers world-class results in education, research, and innovation to address challenges in the areas of energy, climate, mobility, health, and digital society.

At TU Delft, we embrace diversity as one of our core values and actively strive to be a university where you feel at home and can flourish. We value different perspectives and qualities, which makes our work more innovative and the TU Delft community more vibrant.

Department :

Faculty Mechanical Engineering

Research and education at the ME faculty focuses on fundamental understanding, design, production, including application and product improvement, materials, processes, and (mechanical) systems. ME is a dynamic and innovative faculty with high-tech lab facilities and international reach.

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