Join our research project focused on analysing complex neurophysiological data collected during non-invasive brain stimulation experiments. This project aims to optimise brain stimulation protocols for future stroke rehabilitation by investigating neural responses to various stimulation parameters. The data includes electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmography (PPG), inertial measurement unit (IMU) readings, pupilometry, and galvanic skin response (GSR). We aim to model brain states based on these measurements to define brain circuitry outcomes from stimulation and movement interactions, using advanced techniques like connectivity-based biomarkers. This modeling will help generalise findings to broader brain states, such as valence, attention, and stress. - Applied Statistics, Biological Mathematics, Neurosciences, Simulation and Modelling
- Master Thesis
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We are working on a novel product which tracks breathing with standard earphones (like Apple AirPods) only. To do this we capture the sound of breathing with the microphone which is in every earphone. We are working on an algorithm with which we can detect the ventilatory thresholds (VT1/VT2) with the breathing rate captured via the earphones. BreezeLabs is an ETH spin-off. - Biomedical Engineering, Sport and Exercise Psychology, Sports Medicine
- Internship, Master Thesis
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Develop a method for collision aware reaching tasks using reinforcement learning and shape encodings of the environment - Intelligent Robotics
- ETH Zurich (ETHZ), Master Thesis
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Unlock the potential of differentiable simulation on ALMA, a quadrupedal robot equipped with a robotic arm. Differentiable simulation enables precise gradient-based optimization, promising greater tracking accuracy and efficiency compared to standard reinforcement learning approaches. This project dives into advanced simulation and control techniques, paving the way for improvements in robotic trajectory tracking. - Intelligent Robotics
- Bachelor Thesis, Master Thesis, Semester Project
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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). - Artificial Intelligence and Signal and Image Processing, Computer Software, Data Format, Information Systems
- ETH Zurich (ETHZ), Internship, Lab Practice, Student Assistant / HiWi
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The uprise of consumer-grade fitness trackers has opened the doors to long-term activity monitoring in the wild in research and clinics. However, Fitbit does not identify napping episodes shorter than 90 minutes. Hence, there is a need to establish a robust algorithm to detect naps. - Artificial Intelligence and Signal and Image Processing, Biomedical Engineering, Biosensor Technologies, Electrical and Electronic Engineering
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis
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The aim of this project is to develop and improve wearable electronics solutions for data acquisition from textile-based sensors used in our smart clothing. - Engineering and Technology, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
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We aim to develop a reinforcement learning-based global excavation planner that can plan for the long term and execute a wide range of excavation geometries. The system will be deployed on our legged excavator. - Intelligent Robotics
- Master Thesis, Semester Project
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We want to train an excavator agent to learn in a variety of soil using a fast, GPU-accelerated soil particle simulator in Isaac Sim.
- Intelligent Robotics, Robotics and Mechatronics
- Master Thesis, Semester Project
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We want to train RL agents on our new particle simulator, accelerated on the GPU via warp in Isaac sim. - Intelligent Robotics
- Master Thesis, Semester Project
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