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.
Internship (practical or research) in data collection for clinical studies involving spinal cord injury (SCI)
This internship within a clinical setting will bring you close to data collection, data analysis, project and data management while exploring multiple data and sensor systems. You will experience multimodal clinical data, general clinical practice, and experience in building clinical studies.
Keywords
Motion Capture, Medical and health science, healthcare, Clinical Studies, Spinal Cord Injury
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Internship
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Published since: 2026-08-05 , Earliest start: 2026-09-01 , Latest end: 2027-08-31
Applications limited to ETH Zurich
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Bill Annika
Topics Medical and Health Sciences
(Master Thesis / Internship) - Personalized Low Latency Interactive AI
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 using edge devices powered by NVIDIA Orin. The system leverages advanced models and distilled LLMs, combined with biosignal tracking, to provide asynchronous interactions that are well-organized and accessible to doctors, while ensuring user privacy.
Keywords
Voice recognition, AI personalization, low latency, SLMs and distilled LLMs, Edge-Computing, audio processing
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Semester Project , Internship , Master Thesis
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Published since: 2026-06-22 , Earliest start: 2026-04-01 , Latest end: 2026-12-31
Applications limited to ETH Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , CSEM - Centre Suisse d'Electronique et Microtechnique , CERN , Berner Fachhochschule , IBM Research Zurich Lab , Hochschulmedizin Zürich , University of Zurich , Zurich University of Applied Sciences , Lucerne University of Applied Sciences and Arts
Organization Sensory-Motor Systems Lab
Hosts Paez Diego, Dr.
Topics 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: 2026-06-04 , Earliest start: 2026-08-01 , Latest end: 2027-02-28
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
Social VLA for Socially-Aware Robot Navigation in Human-Centered Environments
This project aims to develop a Social Vision-Language-Action framework for robot navigation in crowded and human-centered environments. Unlike conventional navigation methods that mainly optimize collision avoidance and goal reaching, the proposed system will explicitly reason about human social interactions, group formations, pedestrian intent, personal space, and socially acceptable passing or yielding behaviors.
Keywords
Social navigation; Vision-Language-Action models; socially-aware robotics; human-robot interaction; robot navigation; crowd-aware navigation; trajectory generation; social reasoning; robot learning; embodied AI.
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Master Thesis
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Published since: 2026-06-02 , Earliest start: 2026-09-07 , Latest end: 2027-04-30
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Alyassi Rashid , Alyassi Rashid , Alyassi Rashid
Topics Engineering and Technology