About the opportunity
Eindhoven University of Technology, in collaboration with healthcare institutions and companies, offers a two-year post-master Engineering Doctorate (EngD) program in Qualified Medical Engineering (QME). This position involves working on the Living Lab for Lasting Lifestyle Change (L4Change) project in partnership with Amsterdam UMC and Symfon.AI. The role focuses on analyzing longitudinal data from the HELIUS cohort to identify behavioral and health risk profiles, developing interpretable machine learning models, and preparing the Amsterdam Living Lab. Trainees split their time between coursework managed by the School of Medical Physics and Engineering Eindhoven and practical design projects within the healthcare partner organization.
Salary and benefits
- A 1.0 FTE appointment as a Technological Designer in Training at the Department of Biomedical Engineering, Eindhoven University of Technology
- Monthly gross salary of €3,173 according to the TOIO scale
- Comprehensive employee benefits package provided by Eindhoven University of Technology
- Structured training including lectures, workshops, and courses managed by the School of Medical Physics and Engineering Eindhoven
- Professional network development through collaboration with industry experts and fellow trainees
Who can apply?
- Hold a Master of Science degree or equivalent in Biomedical Engineering, Data Science, Artificial Intelligence, Health Sciences, Computer Science, or a related field
- Strong analytical and programming skills with an interest in digital health and preventive medicine
- Proficiency in Dutch language spoken and written at C1 or C2 level
- Highly motivated, results-driven, and able to work independently as well as collaboratively in multidisciplinary teams
Required documents
- Motivation letter specifying career goals and preferred placement options
- Curriculum vitae
- Bachelor and Master diplomas and official grade transcripts
- Short description of relevant clinical or academic projects
When to apply
- Application deadline is September 30, 2026
- Interviews and presentations take place between October 15 and October 27, 2026
- Second round interviews with partner healthcare institutions occur in November 2026
- Program officially commences on March 1, 2027
How to apply
- Prepare all required application documents in PDF format
- Submit the application online through the official Eindhoven University of Technology recruitment portal by the deadline
Additional information
- The position reference number is 2026/601
- A pre-employment screening, including a Certificate of Conduct or a knowledge security check, may be part of the selection procedure
- Unsolicited application submissions sent via email or postal mail will not be processed
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- An ideal match for recent master's graduates in biomedical engineering, computer science, or data science seeking to bridge technical innovation with clinical healthcare practice.
- Well-suited for professionals eager to gain hands-on experience in machine learning applications for preventive medicine and digital health.
- Strong fit for individuals with advanced Dutch language proficiency who thrive in multidisciplinary, fast-paced clinical environments.
What should you think carefully about?
- The position requires a two-year commitment combining rigorous academic coursework with intensive practical project work.
- A high level of fluency in Dutch (C1/C2) is mandatory, which may limit international applicants without this specific language proficiency.
- Relocation to the Eindhoven or Amsterdam area in the Netherlands is necessary to fulfill on-site duties at the university and healthcare partner locations.
How could this fit your current goals and plans?
This program offers a structured pathway to earn an Engineering Doctorate while gaining valuable, applied experience at the intersection of artificial intelligence and healthcare. It serves as an excellent stepping stone for a career in medical technology, clinical research, or health-tech innovation without requiring an immediate commitment to a traditional PhD track.
Our take
Candidates with a background in engineering or data science who possess strong Dutch language skills and a passion for healthcare technology should seriously consider applying. Those lacking fluency in Dutch or unable to commit to a two-year hybrid academic and clinical placement should look for other opportunities.
Ready to apply?
Review the opportunity on the official website before applying.
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