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.
Semester / Master Thesis: Event Segmentation and Detection in Time-Series for Monitoring Activities of Daily Living in SCI Individuals
This thesis explores precise event segmentation in time-series/video data from wearable sensors to monitor daily activities in spinal cord injury individuals.
Keywords
Machine Learning, Classification, Event Detection, Pattern Recognition, Human Activity Monitoring, Time-series Segmentation
Labels
Semester Project , Internship , Master Thesis
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Published since: 2026-02-24 , Earliest start: 2025-03-01 , Latest end: 2026-09-30
Applications limited to Balgrist Campus , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Empa , University of Zurich , CERN , Corporates Switzerland , CSEM - Centre Suisse d'Electronique et Microtechnique , IBM Research Zurich Lab , Fernfachhochschule , Hochschulmedizin Zürich , NCCR Democracy , Zurich University of the Arts , Zurich University of Applied Sciences
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr.
Topics Information, Computing and Communication Sciences , Engineering and Technology
Internships (practical or research) in data collection for clinical studies involving spinal cord injury (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 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
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Internship , Lab Practice
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Published since: 2026-02-24 , Earliest start: 2026-03-02 , Latest end: 2026-12-31
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr.
Topics Medical and Health Sciences
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: 2026-02-17 , Earliest start: 2026-02-16 , Latest end: 2026-12-31
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr.
Topics Medical and Health Sciences , Information, Computing and Communication Sciences
Interactive Causal Graphs for Clinical Time-Series - KarmaTS
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
Labels
Lab Practice , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-02-09 , Earliest start: 2026-03-01 , Latest end: 2026-12-31
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
Crowd Simulation for RL Robot Navigation
This project focuses on improving RL-based social navigation by creating a simulation framework with diverse and realistic human behaviors. Current RL methods often train on simplified crowds where all pedestrians behave similarly, which limits generalization in real-world environments.
Keywords
RL, Robot Navigation
Labels
Master Thesis
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Published since: 2026-01-26 , Earliest start: 2026-01-26 , Latest end: 2026-09-01
Applications limited to ETH Zurich
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Alyassi Rashid , Alyassi Rashid , Alyassi Rashid
Topics Engineering and Technology