Open Positions
Would you like to join us? The following student projects are open for applications:
Thesis/Semester Projects (Master's/Bachelor's)
Automatic pain detection and assessment using wearable sensors
We want to improve the state-of-the-art on pain assessment using biomedical signals collected from subjects with induced pain. We aim to develop novel algorithms for pain assessment for low-cost wearable devices.
Keywords
pain assessment, distress detection, biomedical signal analysis, data science, medical technologies, digital health
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Semester Project , Master Thesis
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Published since: 2026-02-25 , Earliest start: 2026-01-15 , Latest end: 2026-10-30
Applications limited to ETH Zurich
Organization Biomedical and Mobile Health Technology Lab
Hosts Dominguez Federico
Topics Information, Computing and Communication Sciences
Simulator-Based Study of Camera Monitor Systems for Pedestrian Detection in Mobile Machinery
This project will develop and use a high-fidelity simulator to study how professional mobile-machine operators use Camera Monitor Systems (CMS) to detect pedestrians in hazardous zones. The student will help design and run an experimental study in which operators complete realistic trenching tasks using a virtual excavator while monitoring CMS feeds for pedestrians and responding to hazards. The data will then be used to develop a machine learning (ML) model that can predict safety performance and inform future CMS design.
Keywords
virtual reality; simulator study; Unity; eye-tracking; machine learning for safety and health;
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Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-02-06 , Earliest start: 2025-12-10 , Latest end: 2026-10-01
Organization Biomedical and Mobile Health Technology Lab
Hosts Qi Shuaixin , Otesteanu Corin, Dr
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
Machine learning for Motion Estimation and Fatigue Monitoring Using Triboelectric Nanogenerators
This project explores the feasibility of using triboelectric nanogenerators (TENGs) for joint angle analysis and fatigue monitoring during repetitive human movements using machine learning and deep learning.
Keywords
machine learning, artificial intelligence, generative AI, triboelectric nanogenerator, joint angle estimation, motion analysis, fatigue
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Semester Project , Internship , Master Thesis
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Published since: 2026-02-05 , Earliest start: 2025-09-01 , Latest end: 2026-08-01
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Model Compression using the Information Bottleneck Principle for Medical AI and wearable devices
This project investigates the use of the Information Bottleneck (IB) theory as a framework for deep neural network compression, aiming to enhance the deployment of medical AI systems in computationally constrained environments. By quantifying and optimizing the trade-off between information preservation and redundancy, this project explores how IB-based compression can maintain model accuracy while significantly reducing computational load — enabling efficient and scalable medical image segmentation and classification in healthcare applications.
Keywords
Keywords: machine learning, artificial intelligence, medical AI, information bottleneck, information theory, theoretical machine learning, model compression, deep learning, information theory, U-Net, Vision Transformer (ViT), wearable devices
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Master Thesis
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Published since: 2026-02-05 , Earliest start: 2026-01-25 , Latest end: 2026-12-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Otesteanu Corin, Dr
Topics Information, Computing and Communication Sciences , Engineering and Technology
Building AI-assisted algorithms for robust motion monitoring with smart clothing after re-wearing
The aim of this project is to use machine learning methods to improve smart clothing motion tracking when sensors shift between sessions and wears without fully retraining the model.
Keywords
smart clothing, wearable technology, textile sensor, fitness tracking, sports medicine, machine learning, artificial intelligence, domain adaptation, deep learning
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Semester Project , Internship , Bachelor Thesis , Master Thesis
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Published since: 2026-01-23 , Earliest start: 2026-02-01 , Latest end: 2027-03-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Ahmadizadeh Chakaveh
Topics Information, Computing and Communication Sciences , Engineering and Technology
Custom Wireless Readout Circuit for Triboelectric Nanogenerator (TENG) Sensing and Energy Harvesting
This project aims to design and realize a custom single-PCB wireless readout circuit optimized for triboelectric nanogenerators (TENGs). Unlike previous designs that relied on assembling multiple commercial off-the-shelf PCBs, this project will integrate the functionalities of signal conditioning, energy harvesting, and wireless data transmission onto one compact, low-power circuit board.
Keywords
TENG, energy harvesting, wireless circuits, PCB design, low-power electronics, sensors
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Semester Project
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Published since: 2026-01-14 , Earliest start: 2026-02-01 , Latest end: 2026-09-30
Organization Biomedical and Mobile Health Technology Lab
Hosts Zada Muhammad
Topics Engineering and Technology
Development of Wireless Ion Sensing Platforms using Metamaterials and Soft Biointerfaces
This project explores the design and realization of a flexible, wireless ion-sensing patch by integrating resonant metamaterial structures with bio-interfacing soft materials. The system is intended for noninvasive detection of physiologically relevant ions from skin-interfaced fluids using passive sensing mechanisms
Keywords
flexible electronics, metamaterials, wireless biosensors, resonant sensors, skin-compatible interfaces
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-12-23 , Earliest start: 2026-01-15 , Latest end: 2026-10-29
Organization Biomedical and Mobile Health Technology Lab
Hosts Zada Muhammad
Topics Engineering and Technology
Assessing the acute and long-term effects of an app intervention on stress using multimodal wearable data
This project investigates changes in stress levels over the course of a longitudinal app-based intervention, as well as acute physiological responses during app use. A wide range of physiological signals were recorded using wearable devices to comprehensively capture autonomic regulation and correlates of stress.
Keywords
electrocardiography (ECG), electrodermal activity (EDA), photoplethysmography (PPG), respiration, electroencephalography (EEG), smart-watch, wearable devices, machine learning, artificial intelligence, signal processing, data analysis, stress, sleep
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-12-18 , Earliest start: 2026-01-05 , Latest end: 2026-12-31
Organization Biomedical and Mobile Health Technology Lab
Hosts Luster Alexandre
Topics Information, Computing and Communication Sciences , Engineering and Technology
Previous Thesis/Semester Projects
- external page AI-Powered Heartbeat Tracker with Smartphone Sensing
- external page Analysing force-time profiles of manual therapy interventions
- external page Anxiety Alert: Stay in Control of Your Stress Levels Anywhere, Anytime!
- external page Automated Outcome Prediction for Pediatric Orthopedic Surgery
- external page Composition optimization of screen-printable flexible pressure sensors
- external page Conductive polymer pattern deposition for smart textile applications
- external page Conductive thread modification for wearable strain sensors
- external page Developing a textile-based tribovoltaic nanogenerator for daily motion and sport tracking
- external page Developing a textile-based triboelectric nanogenerator for health monitoring
- external page Estimating Sweat Biomarker Levels Using Smartphones
- external page From Pixels to Pulse: How Smartphone Cameras and Machine Learning Illuminate Your Heart's Health
- external page Optimizing the design of smart clothing for environmental robustness in daily use
- external page Predicting Falls with Smartphone Accelerometers
- external page Smart wearables to monitor human movements and posture based on cutting-edge textile-based sensing modalities
- external page Smartphone Camera for Blood Pressure Classification
- external page Stretchable, conductive polymer fibers of varying stiffness for auxetic strain sensors
- external page The Future of Chiropractic: Machine Learning and Force Assessment
- external page Your Sleep Story: Wearable Insights for Short- and Long-Sleepers