Student Projects

Project Descriptions

Additional projects are always available. Please consult our list of ongoing research projects  and contact the involved people listed on the top right to enquire about additional projects.


Special projects/internships:

ETH Zurich uses SiROP to publish and search scientific projects. For more information visit sirop.org.

Efficient data processing and reporting in stroke neuro-rehabilitation

Project goal is to optimise existing and develop new algorithms into an efficient system for signal pre-processing, data storage, analysis and visualization in motor-neurorehabilitation. This data is generated by stroke patients wearing motion sensors during their therapy sessions. Key endpoint of the project is to display real-time and longitudinal therapy results, which can aid therapists and patients. The results of the project will help develop a more efficient therapy and is a key part of a larger project that seeks to develop an intelligent and closed-loop neural stimulation system for stroke rehabilitation.

Keywords

health biomarkers, data science, computer science, data visualization, data processing, real-time, internet of medical things, IoMT, healthcare internet of things, healthcare IoT

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Semester Project , Internship , Master Thesis

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Published since: 2025-10-08 , Earliest start: 2023-05-09

Organization Rehabilitation Engineering Lab

Hosts Donegan Dane , Viskaitis Paulius

Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology

Evaluating Engagement and Adherence to Robot-Assisted Rehabilitation: Can Large Language Model-Based Conversational Agents Support Stroke and TBI Patients During Unsupervised Therapy?

Stroke and traumatic brain injury (TBI) are major causes of long-term disability, often requiring intensive rehabilitation to restore motor function, particularly in the hands. While robotic-assisted therapy and mobile health (mHealth) applications offer promising tools for recovery, sustaining patient engagement outside clinical environments remains a significant challenge. This project explores the use of the RehabCoach app and ReHandyBot device in a hybrid rehabilitation program (i.e., two weeks in-clinic followed by six weeks of unsupervised home therapy). The focus is on collecting and analyzing conversational data between patients and the app’s large language model (LLM)-based conversational agent to evaluate how these interactions influence therapy adherence and engagement.

Keywords

Stroke rehabilitation, traumatic brain injury, mobile health, conversational AI, large language models, therapy adherence, unsupervised rehabilitation

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Semester Project , Master Thesis

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Published since: 2025-10-02 , Earliest start: 2025-11-16 , Latest end: 2026-09-30

Organization Rehabilitation Engineering Lab

Hosts Retevoi Alexandra

Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences

Development of a patient friendly user interface to train hand function

Interessted in designing a human-machine interface with real-world applications? Apply to this project:) For clinical use, technology must be simple, intuitive, and user-friendly. We have developed a device to train finger function in a clinic and are now creating a gamified rehabilitation exercise. To ensure therapists and patients can use it easily, this project focuses on developing a User Interface (UI) that bridges human-machine interaction. You will design and integrate the UI based on clinical requirements, with creative freedom and the opportunity to test your work with patients—ultimately contributing to an effective rehabilitation tool.

Keywords

User Interface, Human-Machine-Interaction, user-centered design, rehabilitation excercise, finger traning

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Semester Project , Internship

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Published since: 2025-09-03 , Earliest start: 2025-09-14 , Latest end: 2026-02-28

Organization Rehabilitation Engineering Lab

Hosts Knill Anna

Topics Information, Computing and Communication Sciences , Engineering and Technology

Real-time control of neural stimulation for stroke patients.

Real-time analysis of movement kinematics can benefit multiple different strategies in rehabilitation after stroke, including allowing closed-loop brain stimulation. Use of inertial measurement units (IMUs) allows detection of movement and extraction of kinematic features, but application in real-time remains challenging. This project will develop algorithms for real-time movement data analysis and feature extraction in typical rehabilitation tasks and general real-life movements. In turn, these algorithms will be applied to control novel brain stimulation approaches in stroke neurorehabilitation.

Keywords

Inertial measurement unit, IMU, movement tracking, machine learning, real-time, signal processing

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Semester Project , Master Thesis

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Published since: 2025-09-02 , Earliest start: 2023-05-09

Organization Rehabilitation Engineering Lab

Hosts Viskaitis Paulius , Donegan Dane

Topics Engineering and Technology

Exploring upper limb impairments using explainable AI on Virtual Peg Insertion Test data

This thesis aims to apply explainable AI techniques to analyze time series data from the Virtual Peg Insertion Test (VPIT), uncovering additional metrics that describe upper limb impairments in neurological subjects, such as those with stroke, Parkinson's disease, and multiple sclerosis. By preserving the full dimensionality of the data, the project will identify new patterns and insights to aid in understanding motor dysfunctions and support rehabilitation.

Keywords

Machine learning, rehabilitation, neurology, upper limb, impairment, explainable AI, SHAP, novel technology, assessment, computer vision, artificial intelligence

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Master Thesis

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Published since: 2025-08-21 , Earliest start: 2025-06-01

Organization Rehabilitation Engineering Lab

Hosts Domnik Nadine

Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology

Comparing the Virtual Peg Insertion Test (VPIT) with the haptic device Inverse3 for assessing upper limb function

This thesis will compare the Virtual Peg Insertion Test (VPIT) with the Inverse3 haptic device by Haply to evaluate its effectiveness as a tool for assessing upper limb function. The focus will be on comparing both the hardware features and software capabilities to determine if the Inverse3 can serve as a valid alternative to VPIT for clinical assessments.

Keywords

Haptic device, virtual environment, rehabilitation, programming, health technology, assessment, software, hardware

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Collaboration , Master Thesis

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Published since: 2025-08-21 , Earliest start: 2025-06-01

Organization Rehabilitation Engineering Lab

Hosts Domnik Nadine

Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology

ADHD-Biomarker Study: Software development of Data Collection and Data Management Structures

The Rehabilitation Engineering Laboratory (ReLab), ETH Zurich is running a paediatric study that integrates fNIRS, EEG, eye-tracking and motion sensing to establish objective biomarkers for Attention-Deficit/Hyperactivity Disorder (ADHD). You will create the technical backbone of a multimodal data-collection setup – coding computerized attention tests, synchronizing hardware, and delivering clean, well-documented datasets for downstream research.

Keywords

ADHD, Biomarker, fNIRS, EEG, Eye-tracking, Motion sensing, Data collection, Data management, Software engineering

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Semester Project , Course Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2025-08-08 , Earliest start: 2025-08-10 , Latest end: 2026-03-31

Organization Rehabilitation Engineering Lab

Hosts Schönhammer Josef

Topics Medical and Health Sciences , Engineering and Technology , Behavioural and Cognitive Sciences

ADHD-Biomarker Study: Neuropsychological Task Development and Data Analytics

The Rehabilitation Engineering Laboratory (ReLab), ETH Zurich is running a pediatric study that integrates fNIRS, EEG, eye-tracking and motion sensing to establish objective biomarkers for Attention-Deficit/Hyperactivity Disorder (ADHD). You will drive the scientific backbone of the project – optimizing child-specific task parameters, leading participant interaction, and conducting and presenting statistical analyses.

Keywords

ADHD, Biomarkers, Neuropsychology, fNIRS, EEG, Eye-tracking, Motion Capture, Data Analytics, Statistical Analysis

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Semester Project , Course Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)

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Published since: 2025-08-08 , Earliest start: 2025-08-10 , Latest end: 2026-03-31

Organization Rehabilitation Engineering Lab

Hosts Schönhammer Josef

Topics Medical and Health Sciences , Engineering and Technology , Behavioural and Cognitive Sciences

Further development of a (gamified) finger training software for a clinical setting

Interessted in designing your own game for patients to train their finger function? Apply to this project:) Finger individuation (the ability to only move one finger independent of the others) is essential for hand function but often impaired after stroke or brain injury. A validated device exists for clinical assessment, including a basic gamified task but for training, more is needed. This project aims to expand finger rehabilitation by developing a training software with engaging exercise games. Based on clinical requirements, you will design, code, and implement motivating training games and excercises into a simple user interface to support finger rehabilitation in clinical settings.

Keywords

Game design, user-centered design, rehabilitation excercise, finger traning

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Semester Project , Internship

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Published since: 2025-08-04 , Earliest start: 2025-08-04 , Latest end: 2025-12-19

Organization Rehabilitation Engineering Lab

Hosts Knill Anna

Topics Information, Computing and Communication Sciences , Engineering and Technology

Mechanistic Evaluation of taVNS in Motor Adaptation for Stroke Rehabilitation

This study aims to evaluate the mechanisms by which transauricular vagus nerve stimulation (taVNS) may facilitate motor learning and adaptation, focusing on reticulospinal tract (RST) activation. A set of assessments will be used to build a comprehensive neurophysiological profile, providing insights relevant to developing taVNS-based clinical interventions. In this role, you will engage in study design, data collection, and analysis, gaining hands-on experience in mechanistic neurophysiological research with direct clinical applications.

Keywords

Transauricular vagus nerve stimulation (taVNS) Reticulospinal tract (RST) Motor learning StartReact paradigm Stroke rehabilitation Neurophysiology Multisite EMG Motor pathway activation Clinical neurostimulation

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Semester Project , Internship , Bachelor Thesis , Master Thesis

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Published since: 2025-08-04 , Earliest start: 2024-11-24 , Latest end: 2025-10-26

Organization Rehabilitation Engineering Lab

Hosts Viskaitis Paulius

Topics Medical and Health Sciences , Engineering and Technology

Development of flexible, biocompatible electrodes for vagus nerve stimulation therapy

Stroke is the most common cause of disability and as many as 14 million people suffer a stroke every year. Typical therapy today is focused on physical exercises and rarely combats the core of the problem - the interactions between the motor actions and the activity patterns of the injured brain. Therefore, we are developing a cutting-edge medical device that helps combine physical therapy with a non-invasive brain stimulation. This is expected to boost recovery after stroke and make this advanced neuro-therapy accessible to millions of people who need it.

Keywords

Biocompatibility Conductive Materials Vagus Nerve Stimulation (VNS) Transcutaneous VNS (tVNS) Stroke Rehabilitation Therapy Medical Device Engineering Electrode Design and Prototyping Materials Science Biomedical Engineering Neurorehabilitation Clinical Usability Patient-Centred Design

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Semester Project , Bachelor Thesis , Master Thesis

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Published since: 2025-07-22 , Earliest start: 2024-11-24 , Latest end: 2025-10-31

Organization Rehabilitation Engineering Lab

Hosts Viskaitis Paulius

Topics Medical and Health Sciences , Engineering and Technology

Embedded algorithms of IMUs in a neurorehabilitation device

The goal of this project is to help develop embedded firmware for a imu based rehabilitation device. This project is part of the SmartVNS project which utilizes movement-gated control of vagus nerve stimulation for stroke rehabilitation.

Keywords

electrical engineering PCB Embedded systems neurorehabilitation

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Semester Project , Master Thesis

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Published since: 2025-07-17 , Earliest start: 2024-01-06 , Latest end: 2024-12-31

Organization Rehabilitation Engineering Lab

Hosts Donegan Dane , Viskaitis Paulius

Topics Medical and Health Sciences , Engineering and Technology

Development and Testing of Electrical Systems for a SmartVNS Docking Station with Focus on Wireless Data Management

We are looking for an enthusiastic electrical/firmware engineer to design and implement the electrical and firmware aspects of a docking station for the SmartVNS device. The station will charge the device components (pulse generator and wrist motion tracker) and pull data from the pulse generator and motion tracker, uploading it to an online server via Wi-Fi. This project will also involve testing the reliability of data transfer and power systems under real-world conditions, providing valuable insights into the practical application of this technology.

Keywords

Electrical, embedded, electronic, engineering, biomedical

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Internship , Bachelor Thesis , Master Thesis

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Published since: 2025-07-17 , Earliest start: 2024-08-18 , Latest end: 2025-10-01

Organization Rehabilitation Engineering Lab

Hosts Viskaitis Paulius

Topics Information, Computing and Communication Sciences , Engineering and Technology

CI/CD Automation and Testing for Embedded Systems

Design and implement a robust CI/CD pipeline for our embedded software development.

Keywords

firmware, embedded, github, cicd, workflow

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Semester Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis , Summer School

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Published since: 2025-06-23

Organization Rehabilitation Engineering Lab

Hosts Viskaitis Paulius

Topics Information, Computing and Communication Sciences

Flash Storage and USB Communication for Embedded Systems

This project targets performance and feature enhancements to a firmware module that manages data transfers from flash memory to a host PC over USB (CDC/ACM). The goal is to improve system reliability, throughput, and communication efficiency for data logging or diagnostic use cases.

Keywords

embedded, c programming, firmware, flash memory, usb

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Semester Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis , Summer School

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Published since: 2025-06-23

Organization Rehabilitation Engineering Lab

Hosts Viskaitis Paulius

Topics Information, Computing and Communication Sciences , Engineering and Technology

Doxygen Documentation Pipeline for Embedded Firmware

You will help improve the usability and maintainability of Skaaltec’s embedded firmware codebase by integrating automated documentation generation using Doxygen.

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Semester Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis , Summer School

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Published since: 2025-06-23

Organization Rehabilitation Engineering Lab

Hosts Viskaitis Paulius

Topics Information, Computing and Communication Sciences

Studies on Mechatronics

If you would like to carry out a Studies on Mechatronics project in our group, please contact the assistant working on, or closest to, the research topic you are interested in.

We currently have an open studies on mechatronics project aiming to evaluate and compare mechatronic designs for sensory/mechanical stimulation and massage of the feet. If interested, please contact .

Your Own Project Ideas?

It is always possible to find a project for motivated students with innovative ideas in the fields of rehabilitation, assistive and healthcare technology as well as haptics and motor learning. Please contact us if you would like to pursue a project which is not on the list above.

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