PhD Position: Real-Time Stress Triggering via Wearable Biocues
Develop and validate physiological stress triggers for real-time adaptive interventions using wearable technology.
Best for:Best for interdisciplinary researchers with a background in biomedical engineering, psychology, or data science, passionate about wearable technology, physiological signal processing, and user-centered design of health interventions.
Overview
This PhD position at the University of Twente focuses on advancing the Stress in Action project by transforming passive physiological stress monitoring into an active intervention system. The candidate will design, implement, and test real-time triggers using heart-rate biocues to deliver experience-sampling questions or brief interventions via wearable devices. The work spans physiological signal analysis, user experience research, and the development of context-sensitive stress interventions, leveraging large-scale daily-life datasets. The project bridges biomedical engineering, psychology, and human-computer interaction to create evidence-based tools for stress assessment and adaptive health interventions. The successful applicant will collaborate in a multidisciplinary consortium of seven Dutch universities and university medical centers, contributing to a broader effort to understand and mitigate daily-life stress.
What you'll do
- Design and implement real-time physiological stress triggers using heart-rate biocues to deliver experience-sampling questions or brief interventions via wearable devices.
- Conduct a two-week intensive measurement study to validate the effectiveness of physiological triggers in triggering user check-ins based on real-time physiological data.
- Analyze large-scale daily-life datasets to determine optimal physiological signals and threshold settings for stress detection and intervention triggering.
- Conduct user experience research to assess participant acceptance and understanding of physiological cues, incorporating interviews and co-design methods.
- Develop and pilot a context-sensitive stress intervention system that delivers adaptive interventions at detected moments of stress.
- Contribute to the Stress in Action wearables database and review existing literature on physiological signal-triggered interventions.
- Collaborate with a multidisciplinary team across seven Dutch universities and university medical centers to integrate findings into broader stress research efforts.
Requirements
Degree required: Master of Science (MSc) degree in biological or health psychology, health sciences, biomedical technology, human-computer interaction, technical medicine, computer science, data science, or a related discipline (candidates close to graduation are encouraged to apply).
Degree offered: PhD
Language: English; proficiency at a level suitable for academic research, presentations, and participant interactions (no specific test score mentioned).
Instruction: English
- Programming skills in Python or R for physiological signal analysis and wearable/app platform integration.
- Familiarity with multilevel modeling or machine learning techniques for analyzing intensive longitudinal data.
- Experience with user research methods, including interviews and co-design for app-based data collection.
- Strong interest and prior experience in ambulatory (psycho)physiological research and wearable technology.
- Excellent English proficiency for academic writing, presentations, and participant communication.
- No explicit nationality or residency restrictions mentioned.
- Open to candidates close to graduating (no strict prior experience caps).
Funding & terms
How to apply
Deadline: 2026-10-25
Applicants must submit a motivation letter, a detailed CV, and the names of two referees via the University of Twente vacancies page. Screening is part of the selection process.
- Motivation letter
- Detailed CV
- Names of two referees for contact
Contact
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