ETH Competence Center - Competence Center for Rehabilitation Engineering and Science (RESC)Acronym | RESC | Homepage | https://resc.ethz.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Parent organization | ETH Zurich | Current organization | ETH Competence Center - Competence Center for Rehabilitation Engineering and Science (RESC) | Child organizations | | Members | |
Open OpportunitiesThe goal of the project is to develop wearable devices, for use in environmental electromagnetic energy recovery based on human body application. - Biomedical Engineering, Electrical and Electronic Engineering, Materials Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| In this project, you are going to work with a state-of-the-art deep learning approach and generative models for building an efficient system to directly reconstruct a 3D animatable avatar from a single image.
Feel free to contact me for more details.
- Information, Computing and Communication Sciences
- ETH Zurich (ETHZ), IDEA League Student Grant (IDL), Master Thesis, Semester Project
| The goal of the project is to synthesize and characterize a number of small molecules capable of acting as mechanophore addition to various polymers. These polymers would then be used as wearable strain or pressure sensors. - Chemical Engineering, Chemistry, Composite Materials
- Master Thesis
| The goal of the project is to develop a cheap and disposable sensor capable of determination of iodine levels in human urine for early diagnostic purposes. - Chemistry, Engineering and Technology, Medical and Health Sciences
- Master Thesis
| The goal of the project is to develop metal oxide-based logic electronics, for use in rectification and/or memristor application. - Biomedical Engineering, Electrical and Electronic Engineering, Materials Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| Join a dynamic research team at the intersection of biomechanics, tissue engineering, and cell biology. This project offers hands-on training in state-of-the-art methods to investigate how tendon tissue responds to injury, disease processes, and mechanical stimulation during exercise-based therapy. - Biomedical Engineering
- Master Thesis
| Controlling fluid flow is essential in various natural and engineering systems, with geometry playing a fundamental role in shaping fluid behavior. However, the interaction between geometry and flow behavior remains a complex phenomenon, primarily governed by the flow regime and fluid material properties.
Certain geometries, whether naturally occurring or engineered, induce direction-dependent flow resistance, causing variations in velocity and flow rate in opposite directions. One well-known example of such engineered geometries is the Tesla valve—a passive device without moving parts, designed to create asymmetric flow resistance, particularly at high Reynolds numbers. This structure acts like a fluidic diode, offering greater resistance to flow in one direction by generating turbulent vortices and flow separations while allowing smoother movement in the opposite direction. This effect is quantified by diodicity, which represents the ratio of pressure drop in the reverse direction to that in the forward direction, providing a measure of the valve's asymmetric resistance. However, this direction dependence is limited at lower velocities.
We have designed two sets of geometries that effectively induce directional flow resistance within high and low fluid flow velocities. This Master’s thesis project aims to experimentally investigate the impact of different flow obstruction designs on direction-dependent resistance in rectangular channels and semicircular arc segments. The student will, together with their direct supervisor, design and construct an experimental setup for the reliable measurement of flow and diodicity. This project offers an excellent opportunity to gain expertise in fluid dynamics, experimental testing, numerical modeling, and additive manufacturing, with applications in biomedical systems.
Students with a background in mechanical engineering, fluid dynamics, or related fields are encouraged to apply. Prior experience with COMSOL Multiphysics is beneficial but not mandatory.
- Mechanical Engineering
- Master Thesis
| We are looking for a research assistant who is skilled at data collection, cleaning, matching and programming. Please see details in the attachment. - Programming Languages
- Student Assistant / HiWi
| Join us in revolutionizing brain imaging technologies and make it accessible for everyday use. Functional near-infrared spectroscopy (fNIRS) is an emerging technology that enables cost-effective and precise brain measurements, helping to improve neurotherapies and brain health. - Electrical Engineering, Mechanical and Industrial Engineering, Neurology and Neuromuscular Diseases, Neurosciences, Signal Processing
- Internship
| In this project, we aim to develop a novel PCB integrating a powerful PULP chip, i.e., the GAP9, and event-based sensor, the Prophesee Genx320, and a RGB camera, the Himax HB0360 to enable multi modal AI-driven perception aboard nano-drones - Integrated Circuits
- Bachelor Thesis, Master Thesis, Semester Project
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