RWTH Aachen University | Germany | 52xxx Aachen | Temporary contract | Part time - flexible / Full time | Published since: 12.05.2026 on stepstone.de
Research Assistant (m/f/d)
The Chair of Medical Information Technology is part of the Faculty of Electrical Engineering and Information Technology. The chair is also part of the cross-faculty Helmholtz Institute for Biomedical Engineering. Main areas of work: Automation technology for medicine, physiological measurement technology, portable medical technology (Personal Health Care). The RWTH is certified as a family-friendly university. RWTH offers a variety of health, counselling and prevention services (e.g. university sports) as part of a university health management. There is a wide range of training and the possibility of obtaining a job ticket for employees and civil servants. .
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The Chair of Medical Information Technology is part of the Faculty of Electrical Engineering and Information Technology. The chair is also part of the cross-faculty Helmholtz Institute for Biomedical Engineering. Main areas of work: Automation technology for medicine, physiological measurement technology, portable medical technology (Personal Health Care). The RWTH is certified as a family-friendly university. RWTH offers a variety of health, counselling and prevention services (e.g. university sports) as part of a university health management. There is a wide range of training and the possibility of obtaining a job ticket for employees and civil servants.
Participation in the BMWi ZIM project: „BiMobil“ Medical questioning/objection: How can a portable multi-sensory system of PPG, bioimpedance and motion sensors analyze venous hemodynamics during the Venous muscle pump test by signal processing and data fusion to detect an increased risk of thrombosis at an early stage and to enable personalized prevention and training measures? Methodology/Tools: Multisensory measuring sleeve with PPG sensors, bioimpedance module and 6 axis IMU; Signal processing (bandpass, low-pass, Savitzky-Golay filter), FFT-based impedance evaluation, motion analysis with Madgwick/Kalman filter; multimodal sensor fusion, adaptive artifact compensation, laboratory and field tests, test data analysis, app-based evaluation and clinical validation.
- Higher education (master or comparable) of electrical engineering, medical technology, physics, mechanical engineering with above average degree
- Interest in medical technology
- Secure mastery of German and English
- Communication and team skills Keywords: Biomedical Signal Processing, PPG, bioimpedance measurement, inertial sensor technology, sensor fusion, time series analysis, digital filters, Kalman filters, Madgwick filters, artefact correction, embedded systems, wearable sensors, medical technology, data analysis, Python/Matlab, experimental validation, clinical studies
Supplier: Chair of Medical Information Technology The employment is in the employment relationship. The place shall be occupied at the next possible time and shall be limited to at first 3 years. There is the possibility to extend for another 2 years. The temporary employment is carried out within the framework of the time-limits of the science-time contract law. It is a full-time job. There is a doctoral opportunity. The grouping depends on the TV-L. The place is rated with EG 13 TV-L. The job description is aimed at all sexes. We want to promote the careers of women at RWTH Aachen University and are therefore looking forward to applicants. Women are preferably taken into account in the case of equal suitability, competence and professional performance, provided You are underrepresented in the organisational unit and, if not in the person of a competitor, outweigh the reasons. Applications for suitable people with difficulty are expressly desired. For the purposes of equal treatment, we ask you to waive an application photo. At https://www.rwth-aachen.de/bewerb/dsgvo-information you will find information on the collection of personal data pursuant to Articles 13 and 14 of the General Data Protection Regulation (GDPR). .
Location
![]() | RWTH Aachen University | |
| Aachen | ||
| Germany |
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