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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
| 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
| 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
| 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
| 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
| This project seeks to leverage the sparse nature of events to accelerate the training of radiance fields. - Computer Vision
- Master Thesis, Semester Project
| 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
| 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
| 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)
| We offer you the opportunity to use the fast resources of our chair not only to complete the last step of your Master's degree, but also to contribute to an existing field of research and possibly start your way to a PhD position with a high-ranking publication. Specifically, we offer supervision by a multidisciplinary team of data scientists and economists, the opportunity to integrate your research into a larger research project, and powerful computational resources. We have extensive in-house datasets and deep learning models that we are happy to share. Students should be trained in remote sensing, econometrics, GIS, data science or similar. Your specific academic background is less important than research interests that align with ours, a high level of motivation and the technical skills you bring to the table. If you are interested, please fill in the form at the bottom of the page.
- Cartography, Computer Vision, Image Processing, Photogrammetry and Remote Sensing, Urban and Regional Economics, Urban and Regional Planning
- ETH Zurich (ETHZ), Master Thesis
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