Student Projects
Currently, the following student projects are available. Please contact the responsible supervisor and apply with your CV and transcripts.
If you are looking for a Master internship HST/BWS or 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.
3D Pose Estimation to Understand Orthosis Effects in Cerebral Palsy
This Master’s thesis at ETH Zürich develops a 3D pose estimation pipeline to evaluate the effects of orthotic devices on gait patterns in children with cerebral palsy (CP). Using a CP-specific dataset, the project benchmarks multiple 2D and 3D pose estimation models, fine-tunes the best-performing model, and applies time-series analysis to assess joint-level kinematic differences across healthy, CP without orthosis, and CP with orthosis conditions. The goal is to support clinical assessment through non-invasive motion analysis.
Keywords
3D Pose Estimation, Cerebral Palsy, Gait Analysis, Orthosis, Deep Learning
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Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-07-23 , Earliest start: 2025-07-23 , Latest end: 2025-09-30
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr. , Paez Diego, Dr.
Topics Medical and Health Sciences , Information, Computing and Communication Sciences
Internship / Research assistant / Semester project in Biosensing for Robotics Care and Body Simulation (~12 months)
Join a team of scientists improving the long-term prognosis and treatment of Spinal Cord Injury (SCI) through mobile and wearable systems and personalized health monitoring. Joining the SCAI Lab part of the Sensory-Motor Systems Lab at ETH, you will have the unique opportunity of working at one of the largest and most prestigious health providers in Switzerland: Swiss Paraplegic Center (SPZ) in Nottwil (LU).
Keywords
App development, Machine Learning, Data bases, Data engineering, Systems Engineering, Data Modelling
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Internship , Lab Practice , Student Assistant / HiWi , ETH Zurich (ETHZ)
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Published since: 2025-07-23 , Earliest start: 2025-09-01 , Latest end: 2026-12-31
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , IBM Research Zurich Lab , Institute for Research in Biomedicine , Hochschulmedizin Zürich , Swiss Institute of Bioinformatics , University of Lucerne , University of Zurich , Zurich University of Applied Sciences , Zurich University of the Arts , Lucerne University of Applied Sciences and Arts , Berner Fachhochschule
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr. , Paez Diego, Dr. , Paez Diego, Dr.
Topics Information, Computing and Communication Sciences
Master Thesis: Adaptive Motivational Treadmill - Personalized Biofeedback and Avatar-Guided Gait Training
This Master’s thesis project focuses on enhancing gait rehabilitation by integrating real-time heart rate and respiratory monitoring, intelligent treadmill control, and AI-driven avatar feedback. Physiological data are processed by a LLM to generate personalized verbal encouragement, while an AI-based controller adjusts treadmill speed to maintain clinician-defined heart rate zones and adapt to patient performance. The project aims to deliver personalized, engaging, and adaptive rehabilitation and involves system integration, algorithm development, and experimental validation.
Keywords
rehabilitation, robotics, model-based control, LLM integration
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-07-21 , Earliest start: 2025-08-01 , Latest end: 2026-03-31
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr. , Paez Diego, Dr.
Topics Medical and Health Sciences , Engineering and Technology
Master Thesis: Development of a Customized Knee Orthosis for Osteoarthritis
Osteoarthritis (OA) presents a significant challenge in healthcare, necessitating innovative solutions to alleviate pain, enhance mobility. This thesis documents the research and development journey of an OA knee orthosis within the Spinal Cord and Artificial Intelligence Lab (SCAI-Lab) at ETH Zurich. This thesis is a close collaboration between the ORTHO-TEAM Group and the SCAI-Lab at ETH Zurich. The collaboration offers a unique exchange of expertise and resources between industry and academia. Together, we aim to make meaningful progress in the field of and empower students to make valuable contributions to their academic pursuits.
Keywords
Osteo Arthritis, Orthosis, Biomechanics, AI, Medical Data, Healthcare
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-07-17 , Earliest start: 2025-04-15 , Latest end: 2026-01-31
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Empa , University of Basel , University of Berne , Zurich University of Applied Sciences , Università della Svizzera italiana , Hochschulmedizin Zürich , Lucerne University of Applied Sciences and Arts , Institute for Research in Biomedicine , CSEM - Centre Suisse d'Electronique et Microtechnique
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr. , Paez Diego, Dr.
Topics Medical and Health Sciences , Engineering and Technology
Multimodal Clinical Modeling on UK Biobank
This project aims to build a deep learning baseline model on the UK Biobank dataset, including multimodal data extraction and predictive modeling, and to explore practical solutions to data sparsity—laying the foundation for future large-scale clinical models. We are looking for a Master student to conduct either a Master Thesis or Semester Thesis at ETH Zurich for this work. Exceptionally motivated students are also welcome to join as research interns, depending on availability and fit.
Keywords
deep learning, Multimodal learning, LLM, foundation model, clinical data
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Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-07-14 , Earliest start: 2025-08-01 , Latest end: 2026-03-01
Organization Sensory-Motor Systems Lab
Hosts Guo Wen
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
3D motion generation for children with walking disabilities via deep learning
This project is part of a broader research project at ETH Zurich that focuses on studying the gait of children with walking disabilities, such as those with cerebral palsy (CP), and to support the design of simple, personalized, and low-cost orthosis devices. Most existing motion research focuses on healthy adults, while studies and data on children with impaired gait are very limited. This thesis focuses on building a generative model that predicts corrected motion of a CP children, trained with our collected 3D motion data. Specifically, the thesis consists of two main components: (1) 30% – Dataset: You will support the construction of a high-quality 3D motion dataset. As data protocols are already in place and the first data samples have been processed and are ready to use at the start of the thesis, you only need to join the ongoing data collection team to assist with some simple tasks (e.g., platform operation, basic data preprocessing and cleaning). No prior experience of data collection is required, and you will receive complete training and support. (2) 70% – Model development: You will develop a generative model (e.g., diffusion model) trained on the collected dataset. The model will take as input the uncorrected gait and generate the corrected motion with orthosis parameters, simulating the effect of using an orthosis. The project is hosted by SCAI-Lab (https://scai.ethz.ch/) within SMS Lab ( https://sms.hest.ethz.ch/) at ETHZ, and is in close collaboration with AIT Lab (https://ait.ethz.ch/). This project is looking for a Master student to conduct either a Master Thesis or Semester Thesis at ETH Zurich. Exceptionally motivated students are also welcome to join as research interns, depending on availability and fit.
Keywords
3d human motion, deep learning, generative model, ai for healthcare
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Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-07-14 , Earliest start: 2025-08-01 , Latest end: 2026-03-01
Organization Sensory-Motor Systems Lab
Hosts Guo Wen
Topics Information, Computing and Communication Sciences , Engineering and Technology
Internships (Industrial or Research) on Body Modelling and Sensing Technology for Health Care in SCI
This hands-on work (internship or semester project) within a clinical setting will bring you close to intelligent health management while exploring multiple data systems. You will experience multimodal data of robotics rehabilitation, general clinical practice, and detailed clinical studies applied in classification and dimensionality reduction.
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Machine learning, time-series, HR, ECG, BP, wearables, nearables, Medical and health science, healthcare, Android studio, App development
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Semester Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis , Other specific labels , ETH Zurich (ETHZ)
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Published since: 2025-07-10 , Earliest start: 2025-09-01 , Latest end: 2026-06-30
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Empa , Eawag , Zurich University of the Arts , Zurich University of Applied Sciences , Wyss Translational Center Zurich , University of Zurich , University of St. Gallen , University of Lucerne , University of Lausanne , University of Geneva , University of Fribourg , University of Berne , University of Basel , Lucerne University of Applied Sciences and Arts , Institute for Research in Biomedicine , IBM Research Zurich Lab , Swiss Institute of Bioinformatics , CSEM - Centre Suisse d'Electronique et Microtechnique , Corporates Switzerland , CERN , Hochschulmedizin Zürich , Université de Neuchâtel , Università della Svizzera italiana , Swiss National Science Foundation , University of Konstanz , University of Hamburg , University of Erlangen-Nuremberg , University of Cologne , Universität zu Lübeck , Universität Ulm , Universität der Bundeswehr München , TU Dresden , TU Darmstadt , TU Berlin , Technische Universität Hamburg , Max Planck Society , Otto Von Guericke Universitat, Magdeburg , RWTH Aachen University , Ludwig Maximilians Universiy Munich , Humboldt-Universität zu Berlin , European Molecular Biology Laboratory (EMBL) , Eberhard Karls Universität Tübingen , Max Delbruck Center for Molecular Medicine (MDC) , Technische Universität München , Imperial College London , National Institute for Medical Research , Royal College of Art , UCL - University College London , University of Aberdeen , University of Cambridge , University of Manchester , University of Nottingham , University of Oxford , University of Leeds , Delft University of Technology , Maastricht Science Programme , Radboud University Nijmegen , Utrecht University
Organization Sensory-Motor Systems Lab
Hosts Paez Diego, Dr. , Paez Diego, Dr. , Paez Diego, Dr.
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Master Thesis: Vibro-tactile feedback in ventricle puncturing during External Ventricular Drain (EVD) procedure
EVD is a common procedure in Neurosurgery, nevertheless its placement is non-ideal in up to 40% of the cases because of lack of hands-on experience of residents. To try and solve the issue we propose a medical simulator that will merge haptic feedback with hardware components. Vibro-tactile feedback has been proven useful in medical simulations and could give a more complete and realistic experience to the training surgeon, either as supplementary information to the force feedback or as stand alone information. In order to feed back the vibro-tactile information to the user, the haptic device has to be instrumentalized with appropriate custom-made hardware.
Keywords
Vibro-tactile feedback, Haptic feedback, Medical robotics, Surgical simulators
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Master Thesis
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Published since: 2025-07-07 , Earliest start: 2025-03-01
Organization Bio-Inspired RObots for MEDicine-Laboratory (BIROMED-Lab)
Hosts Gerig Nicolas, Dr. , Sommerhalder Michael , Ettori Sara Lisa Margherita
Topics Engineering and Technology
Master Thesis: Contact force evaluation of robotic endoscopic system based on Series Elastic Actuation
In the BIROMED-Lab we have been developing an endoscopic system for safer neurosurgeries with inspiration from human finger anatomy. Its two degrees of freedom allow the endoscope to investigate areas of the brain that would be inaccessible with standard rigid endoscopes. Thanks to springs in the transmission between the motors and the movable endoscope tip, the interaction forces between the instrument and the brain tissue can be reduced. Furthermore the interaction forces can be estimated by measuring the deflection of the spring. To make the telemanipulation of the endoscope safer and more intuitive for the surgeon, force feedback was also implemented.
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Robotic surgery, Neurosurgery, Telemanipulation, Haptic feedback, Robotic endoscope
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Master Thesis
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Published since: 2025-07-07 , Earliest start: 2025-03-01
Organization Bio-Inspired RObots for MEDicine-Laboratory (BIROMED-Lab)
Hosts Ettori Sara Lisa Margherita , Gerig Nicolas, Dr. , Sommerhalder Michael
Topics Engineering and Technology
Measurement of hip internal rotation range of motion in individuals with hip joint disorders
Together with the Schulthess Clinic, we have developed the mHIRex which, based on the common clinical manoeuvre, precisely determines the force required for internal hip rotation. The next step is to assess hip internal rotation in a large cohort of patients with hip disorders.
Keywords
hip osteoarthritis, femoroacetabular impingement syndrome, clinical examination, biomechanics
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Internship , Master Thesis
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Published since: 2025-06-20 , Earliest start: 2025-09-24 , Latest end: 2026-12-31
Applications limited to Department of Health Sciences and Technology , Department of Mechanical and Process Engineering
Organization Sensory-Motor Systems Lab
Hosts Wolf Peter
Topics Medical and Health Sciences , Engineering and Technology
Personalized Low Latency Interactive AI Project
We are seeking one highly motivated student to join our innovative project focused on developing a cutting-edge voice recognition and personalization platform for wheelchair users This project aims to deliver low-latency, context-aware, and personalized AI interactions in noisy, multi-user environments, leveraging advanced models and distilled LLMs, combined with biosignal tracking and GDPR-compliant data management.
Keywords
Voice recognition, AI personalization, low latency, LLMs, biosignal tracking, neurofeedback, multi-user environments, audio processing
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Semester Project , Internship , Master Thesis
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Published since: 2025-06-11 , Earliest start: 2025-08-01
Organization Sensory-Motor Systems Lab
Hosts Paez Diego, Dr. , Paez Diego, Dr.
Topics Engineering and Technology
Your own project ideas?
It is always possible to find a project for motivated students with own ideas in the fields of assistive healthcare technologies , augmented feedback in motor learning, and sports engineering. Please send an email to the indicated contact person of our current research pillars that most closely matches your idea.