ETH Zurich

Open Opportunities

Commissioning and Control of a 10 kW Converter Prototype for Wireless Power Transmission ETH Zurich Laboratory for High Power Electronic Systems MA project to commission and test a 10 kW converter prototype for wireless power transmission Electrical Engineering Master Thesis, Semester Project

Commissioning and Control of a 12 kW Bidirectional Boost Converter for a Battery Interface ETH Zurich Laboratory for High Power Electronic Systems SA/MA project to commission and control a 12 kW bidirectional boost converter Electrical Engineering Master Thesis, Semester Project

Stanford – UC Berkeley Collaboration: Learning Progress Driven Reinforcement Learning for ANYmal ETH Zurich Robotic Systems Lab TLDR: Improving navigation capabilities of ANYmal - RL is simulation - optimizing learning progress. Computer Hardware, Computer Perception, Memory and Attention, Computer Vision, Electrical Engineering, Intelligent Robotics, Robotics and Mechatronics Master Thesis, Semester Project

Fine-tuning Policies in the Real World with Reinforcement Learning University of Zurich Robotics and Perception Explore online fine-tuning in the real world of sub-optimal policies. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project

LSPIV around macro-roughness elements: field experiments at the Töss River ETH Zurich Hydraulic Structures (Prof. Boes) Different designs of Macro-Roughness Elements (MREs) like boulders, rootstocks, and logjams have been implemented along the Töss River as part of a restoration project. The different designs alter flow velocity fields at different scales, with consequences on flow heterogeneity and local morphology. Field experiments, which started in 2023, quantify these developments using Large Scale Particle Image Velocimetry. (LSPIV). Water and Sanitary Engineering Master Thesis, Semester Project

Physical experiments on logjams in mobile bed: flow velocity fields and local morphology ETH Zurich Hydraulic Structures (Prof. Boes) River restoration projects often use macro-roughness elements (MREs) like logjams to ensure flow variability and different riverbed morphologies. In doing so, practitioners aim at increasing habitats and “artificial” refugia for aquatic species. On the other hand, such structures alter flow dynamics and hence sediment transport, making it difficult to predict their development under flood conditions. Water and Sanitary Engineering Master Thesis, Semester Project

Roadside infrastructure sensor modelling ETH Zurich Research Frazzoli As autonomous vehicles become more prevalent, the role of roadside infrastructure sensors—such as cameras and LiDARs mounted on traffic lights, intersections, or poles—grows increasingly important. Unlike onboard sensors, infrastructure sensors offer a bird’s-eye view and can provide critical perception support for traffic participants. However, standard evaluation metrics like mean Average Precision (mAP) fail to capture how well these systems work under real-world variability in road types, weather conditions, sensor placement, and object orientation. In this project, we aim to develop probabilistic models that predict the object detection performance of sensors mounted on roadside infrastructure. Automotive Engineering, Information, Computing and Communication Sciences, Mathematical Sciences, Mechanical and Industrial Engineering Bachelor Thesis, Master Thesis

Inverse Reinforcement Learning from Expert Pilots University of Zurich Robotics and Perception Use Inverse Reinforcement Learning (IRL) to learn reward functions from previous expert drone demonstrations. Engineering and Technology, Intelligent Robotics Master Thesis, Semester Project

Low Power Wireless On-Body Communication for Body-attached Sensor Nodes ETH Zurich Center for Project-Based Learning D-ITET Wearable, wirelessly connected sensors have become a common part of daily life, evolving step by step from their roots in sports and fitness to play a pivotal role in shaping the future of personalized healthcare. A key challenge in this evolution is designing devices that are unobtrusive, highly integrated, and energy efficient. These design requirements inherently demand smaller batteries, which must also support the significant power consumption of wireless communication interfaces. Capacitive Human Body Communication (HBC) offers a promising, power-efficient alternative to traditional RF-based communication, enabling point-to-multipoint data and energy exchange. By using the conductive properties of the human body, a privacy-preserving wireless personal body area network (WBAN) can be created. Several low-power sensors such as ECG-tracker and insulin pumps can act as leaf devices, sending personal data to a body-central gateway, such as a smartwatch that further processes the data and establishes a connection to the cloud. . Biomedical Engineering, Electrical Engineering Biomedical (PBL), Energy Harvesting (PBL), Firmware (PBL), Machine Learning (PBL), Master Thesis, Microcontroller (PBL), PCB Design (PBL), Semester Project, Software (PBL), Wearables (PBL)

Advancing Low-Latency Processing for Event-Based Neural Networks University of Zurich Robotics and Perception Design and implement efficient event-based networks to achieve low latency inference. Computer Vision Master Thesis, Semester Project