ETH Zurich

Open Opportunities

Chemical composition of atmospheric aerosol particles from Greenland, the Arctic and the Alps Paul Scherrer Institute Laboratory of Atmospheric Chemistry Global warming induces emissions changes in global ecosystems, for example changes to marine algal blooms, emerging terrestrial vegetation, increasing glacial dust or fires. At the same time human activities in the cryosphere cause emissions from traffic, domestic activities and animal herding. All these emissions change the composition of the atmosphere. The main task of this project will be to analyse mass spectrometry data from Greenland or the Jungfraujoch, to understand the complex puzzle of atmospheric aerosol sources. You will have the option to analyse aerosol filter samples in the lab, collected during different (ongoing) campaigns, like the GreenFjord project's atmospheric cluster in Greenland (https://greenfjord-project.ch/). This work will be carried out at and with the team of the Laboratory of Atmospheric Chemistry at PSI, Switzerland. Analytical Chemistry, Environmental Chemistry (incl. Atmospheric Chemistry) Internship, Lab Practice, Master Thesis

Fast Object Detection Using Spiking Neural Networks and Event Cameras for Real-Time Scene Analysis University of Zurich Robotics and Perception This project leverages spiking neural networks (SNNs) and event cameras to create a real-time system for detecting fast-moving objects with high efficiency and minimal latency. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project

Event-Augmented Image-Based Neural Networks for High-Accuracy, Low-Latency Visual Perception University of Zurich Robotics and Perception This project develops a hybrid framework combining the high spatial detail of image-based neural networks with the high temporal resolution of event camera data to achieve accurate, low-latency visual perception. It targets real-time tasks like semantic segmentation and object detection, addressing challenges such as open-vocabulary recognition for dynamic and adaptive applications. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project

Enhancing Vision-Based Drone Racing with Neural-based Rendering Augmentation Techniques University of Zurich Robotics and Perception This project enhances vision-based drone racing by integrating neural rendering and advanced data augmentation techniques to improve policy generalization and robustness in unseen environments. It focuses on developing methods to strengthen gate detection accuracy and overall perception for autonomous drone navigation in dynamic scenarios. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project

Dynamic Feed Rate Adjustment for Recoating Overflow Based on CLI File Data ETH Zurich Advanced Manufacturing Laboratory In powder bed-based additive manufacturing, the feed rate during recoating determines the amount of powder distributed to maintain a uniform layer across the build platform. An optimal feed rate ensures a consistent powder bed while minimizing material waste and ensuring process stability. Traditional approaches often use a static feed rate, which may lead to inconsistencies in layer thickness or material overflow, especially for geometries with complex scanning patterns or varying powder requirements. Engineering and Technology, Information, Computing and Communication Sciences, Physics Bachelor Thesis, Master Thesis, Semester Project

Drones for search and rescue in disaster scenarios using RL University of Zurich Robotics and Perception This project aims to develop a sophisticated Reinforcement Learning (RL) environment to train autonomous drones for efficient disaster response operations. By leveraging insights from drone racing research, the project will focus on creating a highly realistic 3D simulation environment. Intelligent Robotics, Robotics and Mechatronics Master Thesis, Semester Project

Leveraging Event Cameras for 3D Gaussian Splatting Reconstruction under fast motion University of Zurich Robotics and Perception This project seeks to leverage the sparse nature of events to accelerate the training of radiance fields. Computer Vision Master Thesis, Semester Project

Efficient Event Stream Encoding Using Spiking Neural Networks for Low-Latency Visual Processing University of Zurich Robotics and Perception In this project we develop spiking neural networks (SNN)-based framework to efficiently compress event camera data, enabling low-latency, power-efficient processing for tasks like classification, object detection, and optical flow prediction. It combines the sparsity and speed of SNNs with the accuracy of ANNs. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project

Advancing Space Navigation and Landing with Event-Based Camera in collaboration with the European Space Agency University of Zurich Robotics and Perception In this project, you will investigate the use of event-based cameras for vision-based landing on celestial bodies such as Mars or the Moon. Engineering and Technology Master Thesis

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)