PhD Position in Physiological-Model: The University of Twente is offering a PhD position aimed at developing a health monitoring system to assist in the recovery of elderly patients post-hip fracture surgery. This interdisciplinary project, part of the SMARTTEST initiative, focuses on using artificial intelligence to analyze physiological data and improve patient outcomes.
PhD Position in Physiological-Model-Based AI for Recovery Monitoring of Elderly After Hip Fracture Surgery
Designation
PhD Researcher in Biomedical Signals and Systems
| Key Details | Information |
|---|---|
| Research Area | Physiological-Model-Based AI; Health Monitoring Systems |
| Location | University of Twente, Netherlands |
| Eligibility/Qualification | Master’s degree in Biomedical Engineering, Electrical Engineering, Technical Medicine, or related field. Strong background in biomedical signal analysis and machine learning. |
| Salary | Gross monthly salary ranging from €2,901 (1st year) to €3,707 (4th year) |
| Hours | 40 hours per week |
| Deadline for Application | February 1, 2025 |
Research Area
The PhD position is focused on integrating multiple physiological measurement modalities including inertial measurement units (IMUs), electrocardiography (ECG), photoplethysmography (PPG), and electrodermal activity (EDA). You will develop AI technologies aimed at assessing recovery processes and predicting clinical events in elderly patients following hip fracture surgery.
Job Description
- Develop a health monitoring system to continuously assess post-surgery recovery.
- Analyze multimodal physiological signals to identify and predict clinical adverse events.
- Design and oversee medical research protocols, ensuring compliance with ethical regulations.
- Collaborate closely with healthcare professionals and researchers within the SMARTTEST project consortium.
- Conduct high-quality research and publish findings in peer-reviewed journals.
- Participate in training programs and national/international conferences.
How to Apply
Interested candidates should submit their applications via the “Apply now” button on the University’s website by including:
- A motivation letter (maximum 1.5 pages) detailing your interest and qualifications.
- A comprehensive CV.
- Transcripts and a list of courses from your Master’s and Bachelor’s degrees.
- Contact information for at least two references.
For further inquiries, you may contact Dr. Ying Wang at ying.wang@utwente.nl.
Last Date to Apply
February 1, 2025
Join us in making a significant impact on healthcare technology for the elderly and enhance their recovery process effectively through innovative research!
