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.
Safe RL for Robot Social Navigation
Developing a constrained RL framework for social navigation, emphasizing explicit safety constraints to reduce reliance on reward tuning.
Keywords
Navigation, Robot Planning, Reinforcement Learning, RL, Social Navigation
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Master Thesis
Description
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Published since: 2024-12-13 , Earliest start: 2025-01-01 , Latest end: 2025-12-31
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Alyassi Rashid , Alyassi Rashid , Alyassi Rashid
Topics Engineering and Technology
Bridging RL-based Robot Navigation & Crowd Simulation
Designing a crowd simulator for realistic human-robot interactions, enabling RL agent training in social navigation tasks.
Keywords
Navigation, Robot Planning, Reinforcement Learning, RL, Social Navigation.
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Master Thesis
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Published since: 2024-12-12 , Earliest start: 2025-01-01 , Latest end: 2025-12-01
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Alyassi Rashid , Alyassi Rashid , Alyassi Rashid
Topics Engineering and Technology
Temporal Graphical Modeling for Understanding and Preventing Autonomic Dysreflexia
This project will be based on the preliminary results obtained from a previous master project in causal graphical modeling of autonomous dysreflexia (AD). The focus of the extension would be two-fold. One is improving the temporal graphical reconstruction for understanding the mechanism of AD. The other one is building a forecasting framework for the early detection and prevention of AD using the graph structure we constructed before. Please refer to the attached document for more details about the task description. Based on the candidate's qualifications, funding/allowance can be provided.
Keywords
Graphical Modeling; Graph Neural Networks; Multivariate Time Series; Spinal Cord Injuries; Autonomic Dysreflexia; Wearable Sensing
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Semester Project , Internship , Master Thesis , ETH Zurich (ETHZ)
Description
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Published since: 2024-12-11 , Earliest start: 2025-05-01 , Latest end: 2025-10-31
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Paez Diego, Dr. , Li Yanke , Paez Diego, Dr. , Paez Diego, Dr.
Topics Medical and Health Sciences , Information, Computing and Communication Sciences
Master Thesis / Project - SENSEI: Sensor Teaching in Multi-Activity classification from Video and Wearables for Wheelchair Users
In this project, we focus on continuous and quantitative monitoring of activities of daily living (ADL) in SCI individuals with the goal of identifying cardiovascular events and PI-related risk behaviors. ADLs specific to SCI patients and their lifestyles shall be discussed and narrowed down in the scope of this work, therefore an autonomous camera-based system is proposed to classify ADLs. The Current work builds on a previous project where a SlowFast network [1] was trained to identify SCI-specific classes and we aim to further improve the classification and temporal resolution for transferring to wearables' time-series data.
Keywords
Computer vision, activity classification, video processing, Deep Learning, ADL, soft-labelling, probabilistic networks
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Semester Project , Course Project , Internship , Bachelor Thesis , Master Thesis , ETH for Development (ETH4D) (ETHZ) , ETH Zurich (ETHZ)
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Published since: 2024-11-29 , Earliest start: 2024-01-15 , Latest end: 2024-11-01
Applications limited to EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Zurich University of the Arts , Wyss Translational Center Zurich , University of Zurich , Zurich University of Applied Sciences , CERN , CSEM - Centre Suisse d'Electronique et Microtechnique , Department of Quantitative Biomedicine , Lucerne University of Applied Sciences and Arts , Institute for Research in Biomedicine , IBM Research Zurich Lab , University of St. Gallen , University of Lucerne , University of Lausanne , University of Geneva , University of Fribourg , University of Berne , University of Basel , Université de Neuchâtel , Swiss Institute of Bioinformatics , Swiss National Science Foundation , Swiss Federal Institute for Forest, Snow and Landscape Research , Institute of Robotics and Intelligent Systems D-MAVT , TU Berlin , TU Darmstadt , TU Dresden , RWTH Aachen University , Technische Universität München , Technische Universität Hamburg , Max Planck Society , University of Oxford , University of Leeds , University of Cambridge , UCL - University College London , National Institute for Medical Research , Imperial College London , Royal College of Art , Empa , Università della Svizzera italiana , Hochschulmedizin Zürich , Hong Kong University of Science and Technology , University of Washington , Tokyo Institute of Technology , The University of Tokyo
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 , Behavioural and Cognitive 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
Labels
Semester Project , Internship , Lab Practice , Bachelor Thesis , Master Thesis , Other specific labels , ETH Zurich (ETHZ)
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Published since: 2024-11-29 , Earliest start: 2025-02-03 , Latest end: 2025-12-31
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
Semester Project / Internship: Anomaly Detection for Biosignals Processing for Robots in Healthcare
Modern wearable and nearable sensors allow for continuous 24-hour health monitoring. In clinical settings, such a richness of data is highly desirable to closely monitor the health status of patients, however, often not exploited due to the lack of common interfaces and the overall complexity of integrating the devices into the clinical routine. Moreover, future treatment devices could benefit from interfacing with these sensors through a common interface to perform closed-loop interventions. In this project, you will develop a novel time-series online synchronization and communication agent adaptable to data changes for interfacing wearable, nearable sensors data with robots in an intelligent system. Together with a research team in Japan, this work will be implemented at several clinical settings.
Keywords
Data system architecture, Robot communication, wearable sensors, Healthcare, wearables, rehabilitation, Machine Learning Models,
Labels
Semester Project , Collaboration , Internship , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
Project Background
Your Task
Your Benefits
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Published since: 2024-11-29 , Earliest start: 2024-03-01 , Latest end: 2024-12-01
Applications limited to CERN , Berner Fachhochschule , EPFL - Ecole Polytechnique Fédérale de Lausanne , ETH Zurich , Empa , Eawag , IBM Research Zurich Lab , Hochschulmedizin Zürich , Friedrich Miescher Institute , Forschungsinstitut für biologischen Landbau (FiBL) , Paul Scherrer Institute , NCCR Democracy , Lucerne University of Applied Sciences and Arts , Institute for Research in Biomedicine , Swiss National Science Foundation , Swiss Institute of Bioinformatics , Swiss Federal Institute for Forest, Snow and Landscape Research , 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 , Université de Neuchâtel , Zurich University of the Arts , Zurich University of Applied Sciences , Wyss Translational Center Zurich , Institute of Robotics and Intelligent Systems D-MAVT , Corporates Switzerland , Department of Quantitative Biomedicine , Università della Svizzera italiana , NGOs Switzerland , CSEM - Centre Suisse d'Electronique et Microtechnique , TU Dresden , TU Darmstadt , Technische Universität München , Technische Universität Hamburg , RWTH Aachen University , Universität zu Lübeck , TU Berlin , Max Planck Society , University of Oxford , UCL - University College London , Imperial College London , University of Leeds , University of Cambridge , Delft University of Technology , Politecnico di Milano , The University of Tokyo , Tokyo Institute of Technology
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