Joining the Group
Doctoral or postdoctoral positions
When no open positions are listed, we can only consider unsolicited inquiries that include all the following documents:
- Full CV including, if available, list of publications
- Specific project proposal, including reasoning how this would contribute to our research activities
- Information about the funding possibilities you plan to apply for or have already applied for
For potential funding opportunities and background information on doctoral/postdoctoral positions at ETH Zurich, you may find the following resources helpful:
For doctoral positions
- General information about a doctorate at ETH
- Tips by the academic association for the scientific staff at ETH
- Funding Opportunities – Grants Office | ETH Zurich
For postdoctoral positions
Bachelor/Studies on Mechatronics/Semester and Master Projects
You can find a list of student projects available at the Rehabilitation Engineering Laboratory here. Please also have a look at our ongoing research projects, and feel free to contact the responsible person to identify further student projects related to your interests and expertise.
Internships/Assistantships
If you identify an ongoing research project to which you would like to contribute in the context of an internship, please contact the responsible person. Note that ideally internships will last at least 4 months.
Marker displacement error correction for joint kinematics
Accurate estimation of joint kinematics is essential in longitudinal gait studies. However errors in marker placement used to track joint movement can confound clinical interpretation and obscure true physiological change. This project aims to develop and validate a correction pipeline that mitigates the kinematic errors introduced by marker displacement.
Keywords
Kinematics, data analysis, rehabilitation, clinical study
Labels
Internship , Lab Practice , Master Thesis
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Published since: 2025-12-29 , Earliest start: 2026-01-01 , Latest end: 2026-10-01
Organization Rehabilitation Engineering Lab
Hosts Berthet Mathieu
Topics Engineering and Technology
Changes in brain activity and cognitive load during walking at different speeds
This project investigates how walking speed influences brain activity and cognitive load. Using previously collected data from participants walking on a treadmill at fixed speeds in a motion capture laboratory, the project combines neural signal analysis (EEG) with gait parameter evaluation. The student will preprocess and analyze multi-modal data using Python to identify speed-dependent changes in brain activity and loco-motor behavior.
Keywords
Brain analysis, EEG, kinematics, data analysis, neuro-motor control
Labels
Internship , Lab Practice , Master Thesis
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Tasks
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Published since: 2025-12-29 , Earliest start: 2026-01-01 , Latest end: 2026-10-01
Organization Rehabilitation Engineering Lab
Hosts Berthet Mathieu
Topics Engineering and Technology
Investigating the Influence of the Menstrual Cycle on fNIRS-Based Brain Imaging
Functional near-infrared spectroscopy (fNIRS) is increasingly used as a portable, non-invasive brain imaging technique in both research and clinical settings. Despite its growing popularity, a persistent methodological issue across neuroimaging modalities is the underrepresentation or exclusion of women, justified by concerns that hormonal or physiological fluctuations across the menstrual cycle may bias brain imaging measures. Consequently, many studies either exclude women entirely or fail to report menstrual cycle–related variables, limiting the generalizability, reproducibility, and interpretability of findings. While menstrual cycle effects have been explored to some extent in other imaging modalities, such as functional magnetic resonance imaging (fMRI), it remains largely unknown whether and how physiological and hormonal fluctuations across the menstrual cycle influence fNIRS-derived hemodynamic signals, impacting data interpretation, study design, and reproducibility. We are offering a research internship / semester project / Master’s thesis focused on (i) reviewing the current state of the art on menstrual cycle effects in brain imaging, (ii) critically evaluating their implications for fNIRS, and (iii) designing and piloting an experimental protocol to better understand the influence of the menstrual cycle on fNIRS data. The project will be co-supervised by two PhD students with expertise in fNIRS signal processing and its application in neurorehabilitation research.
Keywords
functional near-infrared spectroscopy, fNIRS, menstrual cycle, brain imaging, bibliographic research, pilot study
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2025-12-17 , Earliest start: 2026-02-01 , Latest end: 2026-10-01
Organization Rehabilitation Engineering Lab
Hosts Perrin Cléo
Topics Medical and Health Sciences
Embedded Software Validation Tests for a novel medical device
This project develops a software validation framework and automated test bench to verify the firmware safety and fault-tolerance of an IMU-driven, non-invasive vagus nerve stimulation device. The work focuses on ensuring that the embedded firmware consistently enforces stimulation safety limits, maintains deterministic control-loop timing, and responds correctly to sensor faults and abnormal system conditions. Through simulated IMU inputs, controlled fault injection, and automated stimulation-output monitoring, the project provides structured evidence of safe firmware behavior across normal and stressed operating scenarios.
Keywords
Firmware, embedded, medical device,
Labels
Semester Project , Internship , Master Thesis
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Published since: 2025-12-11 , Earliest start: 2026-01-01 , Latest end: 2026-09-01
Organization Rehabilitation Engineering Lab
Hosts Donegan Dane , Viskaitis Paulius
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Development of Regulatory Documentation for a Novel Neurorehabilitation Device: Preparation for FDA and Swissmedic Compliance
Stroke is a leading cause of long-term disability, affecting millions annually and necessitating innovative approaches to rehabilitation. The Rehabilitation Engineering Laboratory (RELab) at ETH Zurich is developing a novel closed-loop neurorehabilitation device that integrates real-time motion tracking with non-invasive brain stimulation to enhance neural plasticity and promote motor recovery in stroke patients. To advance this technology toward clinical trials, comprehensive regulatory documentation is essential to meet the stringent requirements of the U.S. Food and Drug Administration (FDA) and Swissmedic. This project focuses on preparing an Investigational Device Exemption (IDE) application for the FDA and supporting documentation for Swissmedic compliance, including technical descriptions, risk analyses, and clinical study protocols. The student will conduct literature reviews, draft regulatory documents, and support risk management in accordance with ISO 14971, contributing to the device’s regulatory pathway. This work offers a unique opportunity to gain expertise in medical device regulation, bridging biomedical engineering and neuroscience, and advancing a transformative solution for stroke rehabilitation.
Keywords
regulatory affairs, medical device, non-invasive brain stimulation, FDA, Swissmedic, investigational device exemption, IDE, stroke rehabilitation, compliance
Labels
Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2025-12-11 , Earliest start: 2026-01-01 , Latest end: 2026-10-01
Organization Rehabilitation Engineering Lab
Hosts Donegan Dane , Viskaitis Paulius
Topics Medical and Health Sciences , Engineering and Technology
Mapping Statistical and Methodological Practices in Non-Invasive Brain Stimulation for Stroke Rehabilitation Research: Contribution to a Scoping Review
Understanding and predicting how and why individuals respond to non-invasive brain stimulation (NIBS) is one of the major challenges in current neurorehabilitation research. Although a growing number of studies propose predictors of treatment response, the statistical approaches used in this field vary widely. This makes it difficult to compare results, assess reliability, or build robust personalized rehabilitation tools. An ongoing project at the RELab aims to systematically map how statistical and methodological practices are used to define, assess, and predict NIBS response across the rehabilitation literature. This forms the foundation of a larger research project on biomarker-guided neurorehabilitation. This student project involves conducting a scoping review of several studies, examining how researchers define “responders,” what statistical models they use, and how prediction frameworks are validated. This internship is ideal for a motivated student interested in neurorehabilitation, data science, and research methodology.
Keywords
non-invasive brain stimulation, statistical methods, predictors, scoping review, personalized medicine, neurorehabilitation, research methodology, bibliographic research
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Semester Project , Internship
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Published since: 2025-12-03 , Earliest start: 2026-01-01 , Latest end: 2026-08-01
Organization Rehabilitation Engineering Lab
Hosts Perrin Cléo
Topics Medical and Health Sciences
Zivildienst leisten im RELab
Das RELab ist ein anerkannter Einsatzbetrieb für Zivildienstleistende. Wir bieten ein spannendes und innovatives Arbeitsumfeld und die Möglichkeit als Elektrotechniker, Maschinenbauer oder Informatiker an einem unserer Forschungsprojekte mit zu tüfteln. Unser Pflichtenheft trägt die Nummer 76781 und ist zu finden auf external page e-Zivi. Nehmen Sie mit uns Kontakt auf. Wir freuen uns auf Sie! Vielleicht kennen Sie jemanden, der einen interessanten Zivldiensteinsatz sucht?
Erfahre mehr auf der RELab Zivildienst Seite
external page Zum E-ZIVI Portal
Mini-Praktika/Erfahrungswoche
Als Teil der täglichen Arbeit für Forschung und Lehre an der ETH Zürich bemüht sich das RELab weiter, die jüngeren Generationen und zukünftigen Studenten oder Wissenschaftler bereits für das Thema Rehabilitationstechnik zu begeistern. Zusammen mit dem RELab-Spinoff Auxivo, bieten wir beispielsweise Erfahrungstage resp. mini-Praktika für Gymnasiumschüler an, in welchem sie sich an den Exoskeleton Ausbildungskits «Edu-Exo» erproben dürfen.
Erfahre mehr über die Mini-Praktika/Erfahrungswoche
external page Auxivo Website
external page Erfahre mehr über eduexo