12 sensor scholarships at ETH Zurich

PhD Position: Molecular sensor system engineering for food applications

laboratories, as available instruments (e.g., gas chromatography or mass spectrometry) are bulky, costly and have to be operated by trained personnel. Project background Chemo-resistive gas sensors based

PhD student in Multi-modal Input Decoding from Wearable Sensors (Human-Computer Interaction, Augmented Reality)

input decoding. Signals will originate from embedded sensors on wearable devices, including IMUs (motion sensors), eye gaze, microphones, EMG (myography), and PPG (optical heart rate sensors). We will

Multiple PhD positions on "Single Cell Proteome Profiling"

to treat diseases using cells. Our research is focused in making sensors that can be used for monitoring process in living cells, and we're especially interested in using nanopore sensors for this purpose

PhD Position in Machine Learning Seismology

Dynamics via Innovative Scale-Invariant Seismic Monitoring and Multi-Sensor Integration”, we aim to further develop novel seismic monitoring and analysis methods utilizing machine learning techniques

PhD Position in Digital Health Technologies for Combined TMS-NIRI Neurotherapy in Stroke Rehabilitation

and electrical engineering, movement science, neurorehabilitation and neuroscience. The RELab uses robotics, wearable sensor technologies, and non-invasive neuroimaging to explore, assess and restore

PhD student in Physiological Sensing/BioEng

considered. In short, promising applicants have built their own physiological sensor before (e.g., PPG, ECG) and custom PCB as part of an embedded device. To learn more about our research, check out our

PhD Position: Nanotechnology for Gas Sensing

students an exciting opportunity to perform cutting-edge research on nanostructured gas sensors to explore interfacial phenomena and new materials. You will join an inclusive, diverse, and supportive working

PhD student in Machine Learning-based Event Detection in Electromyography Signals (EMG for AR/VR/XR and muscle training/rehabilitation)

-grained activity detection using electromyography sensors as input. Supplemental input modalities will include inertial sensors (IMU). The research will focus on machine learning-based signal processing and

PhD position in Electrohydraulic Actuators for Robotic Systems

developing actuators, sensors, or other functional structures Your workplace Your workplace We offer ETH offers an exciting opportunity, and admission is highly competitive. The fellows will be employed

PhD Position on “Secure Machine Learning on RISC-V Servers and Accelerators”

: Energy Efficiency Optimization: Enhancing the energy efficiency of ML algorithms to ensure they can operate within the stringent power budgets of devices ranging from low-power IoT sensors to high-power