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September 6, 2025

**Job Description**
This PhD position is part of the EU Horizon Europe Marie Sklodowska-Curie Doctoral Network (MSCA DN) SMARTTEST project, focusing on developing a health monitoring system for older adults after hip fracture surgery. The system aims to continuously and accurately monitor patients’ health, evaluate recovery progress, and timely detect or predict clinical adverse events like delirium, cardiac arrhythmias, and pneumonia, thereby reducing complications and mortality rates. The researcher will primarily develop physiological-model-based artificial intelligence technologies using multimodal physiological signals, including IMU, ECG, PPG, EDA, and contactless movement/physiology signals. Additionally, the role involves designing medical research experimental protocols for healthy and patient populations, securing ethical approval, and leading experiment execution to gather necessary data for technology development and feasibility testing.

**Skills & Abilities**
• Solid background in biomedical signal analysis, physiology dynamic system, and machine learning technologies.
• Strong programming skills (Matlab, Python).
• Creative, enthusiastic, curiosity-driven, and able to push boundaries.
• Strong organizational skills in designing, planning, and implementing research activities.
• Highly open-minded and motivated to address healthcare challenges by developing cutting-edge digital health monitoring technology.
• Excellent team player.
• Proficient in English.
• Able to collaborate intensively with healthcare professionals, industrial, and academic parties.
• Able to conduct independent research.
• Excellent writing skills.
• Publication skills (preferably).

**Qualifications**
Required Degree(s) in:
• Biomedical engineering
• Electrical engineering
• Technical medicine
• Related field

**Experience**
Other:
• Experience in designing and performing experiments on human subjects (preferably).
• Fulfilment of the MSCA mobility condition: The candidate must not have resided or carried out their main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 36 months immediately before the project start date.

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Experience
Other: • Experience in designing and performing experiments on human subjects (preferably). • Fulfilment of the MSCA mobility condition: The candidate must not have resided or carried out their main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 36 months immediately before the project start date.
Work Level
Ph.D
Employment Type
Scholarship
Salary
Annual Salary: €36,708 - €46,572 Benefits: Holiday allowance (8% of gross annual salary), end-of-year bonus (8.3%), solid pension scheme, minimum 232 leave hours (with an additional 96 hours for a 40-hour workweek), free access to sports facilities on campus, parental leave (both paid and unpaid).
Valid Until
September 29, 2025
Details
Temporary / Full-time Duration: 4 years Remote Work: No Location Requirement: Campus-based in Enschede
School / Department / Center / Lab
• Biomedical Signals and Systems group (BSS) • Department of Electrical Engineering • Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) • Twente Graduate School (TGS)
Supervisor(s)
dr. Ying Wang prof. dr. Johannes H. Hegeman prof. dr. ir. Peter H. Veltink
Supervisor Email
See Details
University of Twente (UT)
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