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Wouter Huberts

2 weeks ago

PhD in Personalized Hemodynamic Modelling of Carotid Artery Stenosis for Stroke Prediction Eindhoven University of Technology in Netherlands

Degree Level

PhD

Field of study

Biomedical Engineering

Funding

Available

Deadline

Mar 31, 2026

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Country

Netherlands

University

Eindhoven University of Technology

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Where to contact

Official Email

Keywords

Biomedical Engineering
Mechanical Engineering
Biophysics
Personalized Medicine
In Vitro Studies
Medical Science
Thrombosis
Cardiovascular Biomechanics
Computational Modelling
Physics

About this position

This PhD position at Eindhoven University of Technology offers a unique opportunity to contribute to the advancement of personalized medicine through the development of hemodynamic models for carotid artery stenosis, with the goal of improving stroke prediction. Hosted within the Cardiovascular Biomechanics group led by Professor Wouter Huberts, the project is part of the prestigious Marie Sklodowska-Curie Actions (MSCA) ThromboRisk Doctoral Network, funded by the European Union. The research will integrate in silico and in vitro modelling approaches to evaluate the risk of carotid artery thrombus embolization, ultimately supporting clinical trials and personalized treatment strategies for stroke prevention.

The successful candidate will join a vibrant, interdisciplinary team at the Department of Biomedical Engineering, collaborating closely with Maastricht University Medical Center and other leading European institutions. The ThromboRisk consortium brings together expertise from ten universities across Europe, aiming to develop multi-level thrombosis risk prediction models by combining mechanobiology, biochemistry, pathophysiology, and computational modelling. The doctoral candidate will contribute a unique perspective to this integrated framework, addressing key aspects of thrombus formation, growth, rupture, and clinical impact.

As part of the program, the PhD student will benefit from hands-on research training, professional development courses, and immersive experiences at partner institutes through secondments totaling 12 months. The position includes teaching responsibilities (10-15% of employment), supervision of BSc/MSc students, and opportunities to collaborate with industrial partners. The university provides a dynamic and supportive environment, with excellent technical infrastructure, on-campus childcare, sports facilities, and comprehensive support for international staff.

Employment conditions are highly competitive, with a four-year contract, intermediate evaluation after nine months, and a salary package in line with MSCA and Dutch university standards. This includes a gross living allowance of €4,010 per month, mobility and family allowances, pension scheme, paid leave, year-end bonus, vacation pay, and additional allowances for commuting and home working. International candidates benefit from a dedicated Staff Immigration Team and tax compensation schemes.

Applicants should hold a MSc degree in Biomedical Engineering, Mechanical Engineering, Physics, or a related discipline, with strong theoretical and applied knowledge in biomechanical and numerical modelling. Experience or interest in AI is preferred. Candidates must demonstrate a research-oriented attitude, excellent communication skills, ability to work in interdisciplinary teams, motivation to develop teaching skills, and proficiency in English (C1 level).

To apply, submit a complete application online, including a cover letter, CV with references, and a list of academic courses and grades. The position will remain open until filled, with priority given to complete applications. For further information, contact Professor Wouter Huberts at [email protected]. Join TU/e and contribute to research with high societal impact, improving healthcare and advancing the frontiers of biomedical engineering.

Funding details

Available

What's required

Applicants must hold a MSc degree in Biomedical Engineering, Mechanical Engineering, Physics, or a closely related field. Theoretical and applied knowledge or interest in biomechanical and numerical modelling is required, with preference for experience in AI. Candidates should have a research-oriented attitude, strong communication skills, ability to work in interdisciplinary teams, motivation to develop teaching skills and coach students, and proficiency in English at C1 level (spoken and written).

How to apply

Submit a complete application online via the provided application link. Include a cover letter describing your motivation and qualifications, a curriculum vitae with contact details of at least three references, and a list of BSc and MSc courses and grades. Only complete applications will be considered. Do not send applications by email or post.

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