Phd Position Physics-based and Experimental
3 maanden geleden
PhD Position Physics-Based and Experimental Data-Driven Cardiovascular Disease Modeling-
**_Drive forward the field of in silico medicine by leveraging physics-based and experimental data-driven techniques to improve our understanding of the ageing cardiovascular system._**
Job description
Cardiovascular disease remains a leading cause of morbidity and mortality worldwide. The advent of in silico models has provided unprecedented opportunities for understanding, diagnosing, and treating these conditions through patient-specific simulations. However, the current deterministic nature of these models presents a significant barrier to their widespread adoption by industry and clinicians. Deterministic models often fail to capture the inherent variability and uncertainties present in biological systems, which can lead to misinterpretations and suboptimal clinical decisions.
Host institution: TU Delft, The Netherlands. Secondments planned at KU Leuven and with industrial partner.
Supervisory team: Dr. Mathias Peirlinck (PhD main supervisor, TUDelft), Prof. Nele Famaey (PhD co-supervisor, KU Leuven)
Enrolment in Doctoral School: Enrolled in the Graduate School of the TU Delft Faculty Mechanical, Maritime and Materials Engineering (TU Delft) and the Arenberg Doctoral School for Science, Engineering & Technology (KU Leuven).
Keywords:
soft tissue biomechanics, computational mechanics, uncertainty quantification, sensitivity analysis, parameter identification, inverse problems, Bayesian inference, Gaussian Processes, in silico medicine, in vitro tissue characterization, scientific machine learning, numerical analysis, cardiovascular digital twins
**Requirements**:
- You have demonstrable experience with nonlinear continuum mechanics, finite element analysis, cardiovascular modeling, computational soft tissue biomechanics and cardiovascular (patho)physiology.
- Affinity with scientific machine learning, Bayesian inference, data-driven modeling, and/or numerical analysis of PDEs and ODEs on complex domains is highly appreciated.
- You have an excellent master’s degree (or an equivalent university degree) in Biomedical Engineering, Mechanical Engineering, Aerospace Engineering, Computational Physics, Applied Mathematics or a related field.
- You are ambitious, well organized, a team player, and have excellent communication skills.
- You can work independently, are a quick learner, and have a critical research-oriented mindset.
- You are a pro-active and motivated person, eager to participate in network-wide training events, international mobility, and public dissemination activities.
- You can effectively communicate scientific ideas, and foster collaborations in a highly multidisciplinary team.
- You have excellent spoken and written English* language skills (minimum C1 level).
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
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.
TU Delft (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. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.
Challenge. Change. Impact
Faculty Mechanical Engineering
ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.
Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our
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