PhD position in Sensors and Simulation-Based Training for Health Education
Are you ready to push the boundaries in immersive technologies, health education and adaptive learning? Join us at the Cardiac Surgery Innovations Lab and Life Long Professional Learning Lab!
This 4-year PhD position is part of the INSIDE:INSIGHT project and allows you to work in an innovative interdisciplinary environment, collaborating on groundbreaking research at the frontier of health professions education.
Are you ready to push the boundaries in immersive technologies, health education and adaptive learning? Join us at the Cardiac Surgery Innovations Lab and Life Long Professional Learning Lab!
This 4-year PhD position is part of the INSIDE:INSIGHT project and allows you to work in an innovative interdisciplinary environment, collaborating on groundbreaking research at the frontier of health professions education.
As a PhD candidate, you’ll play a central role in building a multimodal system to monitor the performance of health professionals while learning to perform technical medical interventions, such as bronchoscopy or thoracic surgery. Using sensor and mixed reality technology will provide continuous and objective performance feedback. Emphasis will be placed on identifying effective error-recovery strategies, as these are essential for patient safety and the professional development of healthcare trainees. You will integrate data from quantitative and qualitative studies to enable the detection of subtle and quick changes in a learner's skill acquisition process. This innovative, multimodal approach results in a more comprehensive understanding of the learning process, of factors affecting performance, and of the trainees’ abilities, experiencing what it means to patients and for them to make mistakes, allowing for more targeted feedback and training. You will bridge and combine knowledge from various fields, including medicine, technology, educational sciences, and data analysis.
Key Responsibilities
As part of our international team, you will:
- Develop a multimodal system using sensor and mixed reality technology to monitor the learning processes of health professionals.
- Develop a taxonomy of error-recovery strategies based on effectiveness, adaptability and impact on patient safety.
- Validate the system in training programs for healthcare professions for technical-medical interventions.
- Collaborate with experts in technical medicine, (bio)medical engineering, data science, and educational psychology to contribute to developing, implementing, and evaluating digital tools for education in healthcare professions.
- Be part of the European Marie Skodowska-Curie Actions network, incl. international collaborations with and visits of our partners in Belgium and Germany.
Information and application
Apply by 15 December 2024. Applications must include the following documents:
- A cover letter (1-page max) specifying how your experience and skills match the position as well as summarizing work in your masters.
- A CV including English proficiency level, nationality, visa requirements, date of birth, experience overview, and publication list.
- Contact information for at least two academic references. A support letter will be requested only if your application is considered.
The first-round interview will be scheduled in the week of 6 January 2025.
For questions, please contact dr. Marleen Groenier, mail: m.groenier@utwente.nl.
Please, only apply via the web platform and not via email.
About the organisation
The Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil Engineering and Industrial Design Engineering. We enable society and industry to innovate and create value using efficient, solid and sustainable technology. We are part of a ‘people-first' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital Society Institute.
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