Education
Internships, Master’s Thesis,
Bachelor & Semester Projects
We offer projects related to (i) the development of new methods in healthcare data; (ii) the derivation of theoretical models, and (iii) the conception and execution of experimental studies for the understanding of SCI secondary conditions. Projects apply advanced machine learning, sensing technology, and robotics towards digital twins in digital health care and rehabilitation. Interested students may check our open student projects or check our research projects and contact the responsible person directly for further questions.
Your own project ideas?
It is always possible to find a project for motivated students with their own ideas in the fields of assistive health care and rehabilitation technologies, advanced machine learning modelling, and applied robotics in health care. Please contact Dr Diego Paez if you would like to pursue a project which is not listed below.
Sirop Links
Currently, the following student projects are available. Please contact the responsible supervisor and apply with your CV and transcripts.
KarmaTS: Interactive Causal Graphs for Clinical Time-Series
KarmaTS enables clinicians and data scientists to build lag-indexed, executable causal graphs for multivariate time series via a mixed-initiative loop (algorithmic proposals + human annotation). We seek a master’s student to (1) design and implement a production-quality front-end interface that makes this workflow fluid and trustworthy, and (2) run a clinical usability/validation study with partner clinicians.
Keywords
Front-end HCI/UI development, clinical validation, causal graphs, expert in the loop
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Lab Practice , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-12-17 , Earliest start: 2026-01-01 , Latest end: 2026-07-31
Applications limited to ETH Zurich , University of Basel , University of Berne , EPFL - Ecole Polytechnique Fédérale de Lausanne , CERN , Balgrist Campus , Department of Quantitative Biomedicine , IBM Research Zurich Lab , Hochschulmedizin Zürich , Lucerne University of Applied Sciences and Arts , Institute for Research in Biomedicine , Paul Scherrer Institute , Swiss Federal Institute for Forest, Snow and Landscape Research , Swiss Institute of Bioinformatics , Swiss National Science Foundation , University of Geneva , University of Fribourg , University of Lausanne , University of Lucerne , University of Zurich , University of St. Gallen , Zurich University of Applied Sciences , Wyss Translational Center Zurich
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr.
Topics Information, Computing and Communication Sciences
Internship (3 months): Development of an API for Standardized Wearable Sensor data
This internship focuses on the design and implementation of a secure, standardized API to access these data. Using python's library FastAPI, you will develop, integrate, and document a RESTful interface that enables encrypted, interoperable data exchange between the MEDWEAR data collection platform and downstream visualization and analytics pipelines. The outcome will support reproducible research, scalable data processing, and broader adoption of open wearable data standards.
Keywords
API, software development, python, internship
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Published since: 2025-12-15 , Earliest start: 2026-02-01 , Latest end: 2026-06-30
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Perez Monica
Topics Information, Computing and Communication Sciences
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.
Keywords
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: 2025-12-11 , Earliest start: 2026-03-01 , Latest end: 2026-12-31
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
Internships (practical or research) in data collection for clinical studies with Chronic conditions - in Japan
This hands-on work (internship or semester project) within a clinical setting will bring you close to intelligent health management while exploring multiple data and sensor systems. You will experience multimodal data of robotics rehabilitation, general clinical practice, and detailed clinical studies applied in classification and dimensionality reduction.
Keywords
HR, ECG, BP, wearables,, Medical and health science, healthcare, data collection, 3D Motion Capture, Gait
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Semester Project , Internship , Lab Practice
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Published since: 2025-12-11 , Earliest start: 2026-03-01 , Latest end: 2026-08-01
Applications limited to ETH Zurich , University of Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr.
Topics Medical and Health Sciences
Master Thesis / Semester Project: Digital Biomarker for Neurorehabilitation from IMU longitudinal dataset
Neuro-rehabilitation outcomes are typically assessed through infrequent clinical evaluations, which provide only coarse snapshots of a patient’s functional recovery. However, many rehabilitation-relevant movement patterns, such as gait cycles, sit-to-stand transitions, and reaching motions, occur daily and contain rich biomechanical information that is not captured in standard assessments. This project aims to leverage an unlabelled longitudinal dataset of inertial measurement unit (IMU) signals recorded from both wrists and ankles of neuro-rehabilitation patients to continuously quantify the evolution of movement quality over time. The central objective is to automatically segment long-term IMU recordings, identify repeated movement patterns, and compare their structure across past and future sessions in order to detect functional improvement or deterioration. By developing learning models capable of extracting movement primitives (e.g. using HMM or TCN), clustering similar motion segments (e.g. using HDBSCAN), and evaluating their temporal evolution (using typical features such as smoothness, entropy, primitive frequencies, etc), the project aims to produce a predictive biomarker for motor recovery. This will enable more timely, personalized, and data-driven rehabilitation strategies that complement clinical decision-making.
Keywords
biomarker, IMU, neurorehabilitation, segmentation, classification, learning models
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Semester Project , Master Thesis
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Published since: 2025-12-05 , Earliest start: 2026-02-01 , Latest end: 2026-03-01
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Perez Monica
Topics Engineering and Technology
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: 2025-11-26 , Earliest start: 2026-02-16 , Latest end: 2026-10-31
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr. , Paez Diego, Dr.
Topics Medical and Health Sciences , Information, Computing and Communication Sciences