Engineering Doctorate in Smart Breath Sensors for Health Monitoring
Develop next-generation breath-analysis devices combining photonic sensing and AI for personalized health monitoring.
Best for:Best for interdisciplinary engineers with expertise in optics, spectroscopy, and machine learning who are passionate about developing wearable health tech.
Overview
This Engineering Doctorate (EngD) position at Wageningen University & Research and OnePlanet Research Center focuses on designing and prototyping a portable breath-sensing device. The project leverages photonic sensing and advanced data analysis to detect trace gases linked to health conditions, enabling consumer and clinical applications. You will collaborate across disciplines—engineering, AI, and physiology—to scope applications, conduct spectroscopy experiments, and develop algorithms for real-time health insights. The role is ideal for candidates with a strong background in engineering, optics, and data science, seeking to bridge hardware and software innovation for medical technology.
What you'll do
- Define the most promising applications for breath-sensing devices through user journey mapping and stakeholder analysis.
- Design and develop a system architecture for a portable breath sensor, integrating photonic sensing and AI algorithms.
- Identify and prioritize target gases for health monitoring based on technological and clinical feasibility.
- Conduct benchtop spectroscopy experiments to test sensor sensitivity and performance.
- Analyze experimental data, quantify sensor accuracy, and develop algorithms for automated health reporting.
- Complete 60 ECTS of relevant courses as part of the EngD program.
Requirements
Degree required: Master of Science in electrical engineering, systems engineering, biomedical engineering, physics, or a closely related field
Degree offered: Engineering Doctorate (EngD)
Language: English at C1 level (proof may be required)
Instruction: English
- Hands-on experience conducting experiments in physics or electronics labs
- Familiarity with fundamentals of optics and photonic sensing
- Basic programming proficiency in Python or MATLAB
- Experience with data analysis and affinity for machine learning/statistics
- Ability to collaborate across disciplinary boundaries
- Interest in software-hardware integration for medical applications
- Open to international candidates
- No specific nationality restrictions mentioned
- No age or prior experience caps
Funding & terms
How to apply
Deadline: 2026-10-19
Submit your application via the OnePlanet Research Center portal, including a CV, motivation letter, and proof of English proficiency if required. Ensure your application highlights your technical skills in optics, data analysis, and interdisciplinary collaboration.
- CV
- Motivation letter
- Proof of English proficiency (if applicable)
- Master’s degree certificate and transcripts
Contact
OnePlanet Research Center· HR/Recruitment
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