PhD in Credible hybrid AI-mechanistic models for clinical decision-making: unveiling the untapped potential of sensitivity analysis methods

About the opportunity

The Department of Biomedical Engineering at Eindhoven University of Technology (TU/e) is offering a fully funded 4-year PhD position within the HY-Credibility project. The successful candidate will develop credible hybrid digital twins combining first-principles cardiovascular pathophysiology with data-driven AI to improve clinical decision-making for Extracorporeal membrane oxygenation (ECMO) weaning. The role involves designing hybrid models, building a sensitivity analysis (SA) and uncertainty quantification (UQ) toolbox, and collaborating with clinicians and interdisciplinary experts to create trustworthy, explainable AI-mechanistic models for cardiovascular biomechanics.

Salary and benefits

• Full-time employment for four years.
• Salary according to Collective Labour Agreement for Dutch Universities, scale P (€3,204 – €4,051 per month).
• MSCA Call 2024 regulations: gross living allowance €4,010/month, mobility allowance €710/month, and family allowance €660/month (if applicable).
• Year-end bonus of 8.3% and annual vacation pay of 8%.
• Pension scheme, paid pregnancy and maternity leave, and partially paid parental leave.
• Allowance for commuting, working from home, and internet costs.
• Access to high-quality training programs and the TU/e Student Sports Center.
• Support from a Staff Immigration Team and a tax compensation scheme (Expat Scheme) for international candidates.
• On-campus children's day care and sports facilities.

Who can apply?

• MSc in Applied Mathematics, Biomedical Engineering, Mechanical Engineering, Physics, or a related field.
• Strong background in mathematics and comfort with in-depth mathematical reasoning.
• Research-oriented attitude and ability to tackle complex, open-ended problems.
• Good command of English, both written and spoken (minimum level C1).
• Ability to work in interdisciplinary teams and collaborate with clinical or industrial partners.
• Motivation to develop teaching skills and supervise/coach students.
• Creative, ambitious, proactive, and results-driven mindset.
• Beneficial: Theoretical or applied knowledge of biomechanical modelling (in silico/in vitro).
• Beneficial: Prior experience with AI or hybrid modelling approaches.

Required documents

• Motivation letter (including MSc thesis project topic)
• Curriculum vitae (including contact details of at least three references)
• List of BSc and MSc courses and grades

When to apply

• The vacancy is open until August 31, 2026.
• The vacancy will remain open until the position is filled.

How to apply

• Submit a complete application online via the apply button.
• Include a motivation letter (mentioning the MSc thesis project topic).
• Provide a curriculum vitae including contact details for at least three references.
• Provide a list of BSc and MSc courses and grades.