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To better understand the spread of bacteria and viruses in an acute care hospital, this project aims at combining deep learning-based methods, such as activity recognition and object detection to automatically collect and analyze data on all hand-to-surface exposures by doctors, nurses and patients.
- Electrical Engineering, Information Systems, Mechanical Engineering, Signal Processing
- Master Thesis
| Can we use ultra-wideband radar technology to monitor breathing as part of a wearable device? - Electrical and Electronic Engineering, Information, Computing and Communication Sciences
- Master Thesis
| How reliably and accurately can a person's respiratory rate be estimated from wearable pulse recordings? - Computer-Human Interaction, Pattern Recognition, Signal Processing
- Bachelor Thesis, Master Thesis, Semester Project
| How can we prevent a person’s pulse rate from being exposed in video recordings during virtual meetings? - Computer-Human Interaction, Image Processing, Signal Processing
- Bachelor Thesis, Master Thesis, Semester Project
| The Functional Materials Laboratory (FML) of ETH Zürich is a group performing world-class research in a wide variety of fields, from nanoparticle chemistry to chemical device development. We are designing and developing innovative solutions for a wide range of applications with a cost-effective approach and short time-to-result. - Chemical Engineering, Fluidization and Fluid Mechanics, Mechanical Engineering
- Master Thesis, Semester Project, Student Assistant / HiWi
| Shoes considerably influence human's comfort and muscle fatigue during long-term standing activities. By combining several state-of-the-art technologies, this study aims to investigate the temporal variations of 3D foot pressure and lower-limb muscle fatigue during prolonged standing with wearing shoes with two different stiffness.
We are looking for a Master student to join us for this interesting study, as her/his Master (thesis) project. The candidate will have a great chance to assess several unique technologies within this project. - Biomechanical Engineering, Human Movement and Sports Science, Rehabilitation Engineering
- Internship, Master Thesis, Semester Project
| We’re seeking talented and highly motivated master students to join our team and contribute to cutting-edge research in the field of optomechanics, working on the design and characterization of integrated photonic chips for trapping and control of dielectric nanoparticles in vacuum. - Optics and Opto-electronic Physics
- Master Thesis
| Development and Testing of a Soft-Robotic Bloodpump to be used in close proximity of a MRI-scanner. - Biomedical Engineering
- Master Thesis
| The Chemistry and Materials Design group at ETH Zurich is looking for a highly motivated bachelor, semester, or master student for an interdisciplinary project across the fields of materials, chemistry, computer science, and electrical engineering.
Phase change memory (PCM) is an emerging data storage technology, where the information is stored in local bits, switching reversibly between high-resistance amorphous and low-resistance crystalline phases of a material (logical “0” and “1”, respectively). The data is written by heating to the crystallization temperature (SET process). Vice versa, amorphization by melting erases the data (RESET process). PCM devices are faster, more durable and offer greater scaling potential than siliconbased Flash technology. Additionally, PCM devices pave the way towards non-von Neumann architectures, enabling in-memory and brain-like neuromorphic computing. Traditionally, phase-change material films are deposited via sputtering techniques, lithography, and lift-off. Solution-phase deposition of chalcogenides such as inkjet printing at ambient temperature and pressure provides a low-cost and scalable alternative. Furthermore, inexpensive high-throughput printing methods are promising for rapid optimization and give access to new geometries of phase change memory devices (i.e., high-aspect ratio and multilayer arrays). - Chemistry, Engineering and Technology, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| Sorting and counting parts is a tedious manual work during post processing for additive manufacturing. In this project, you will address this bottleneck using neural networks for object detection that are solely trained on synthetic training data. - Mechanical Engineering
- Bachelor Thesis, Semester Project
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