 ETH Competence Center for Materials and Processes (MaP)| Acronym | MaP | | Homepage | http://www.map.ethz.ch/ | | Country | Switzerland | | ZIP, City | 8093 Zürich | | Address | Leopold-Ruzicka-Weg 4 | | Phone | +41 44 633 37 53 | | Type | Academy | | Parent organization | ETH Zurich | | Current organization | ETH Competence Center for Materials and Processes (MaP) | | Members | |
Open OpportunitiesThis project explores the use of neuroevolution for optimizing control policies in legged robots, moving away from classical gradient-based methods like PPO. Neuroevolution directly optimizes network parameters and structures, potentially offering advantages in environments with sparse rewards, while requiring fewer hyperparameters to tune. By leveraging genetic algorithms and evolutionary strategies, the project aims to develop efficient controllers for complex locomotion tasks. With computational capabilities doubling approximately every two years as predicted by Moore's Law, neuroevolution offers a promising approach for scaling intelligent control systems. - Artificial Intelligence and Signal and Image Processing
- Master Thesis
| Imagine a robot that can intelligently interpret the world from above—looking at its immediate surroundings and predict how the terrain extends beyond its sensors. If the ground beneath its feet is muddy, it might infer that the meadows ahead will have a similar challenge, adjusting its path accordingly. To enable this kind of intelligent decision-making, robots need to recognize how local conditions propagate globally.
Machine learning techniques, particularly deep learning models, offer a way to automate this understanding by clustering satellite images based on visual and structural similarities. By leveraging large-scale satellite datasets, we can train models to detect regions that naturally group together based on appearance, geographic features, or correlated patterns of change.
[1] Gómez-Chova, L., Tuia, D., Moser, G. and Camps-Valls, G., 2015. Multimodal classification of remote sensing images: A review and future directions. Proceedings of the IEEE, 103(9), pp.1560-1584.
[2] https://ml-gis-service.com/index.php/2020/10/14/data-science-unsupervised-classification-of-satellite-images-with-k-means-algorithm/ - Intelligent Robotics
- Master Thesis, Semester Project
| Pressure ulcers are a critical healthcare challenge, leading to increased morbidity, extended hospital stays, and higher mortality rates. These injuries, caused by sustained pressure, friction, and shear forces, affect pa-tients across all demographics, with immobilized individuals being particularly vulnerable. Neonates are at high risk due to their immature and skin, with prevalence rates in neonatal intensive care units reaching up to 28%. This project implements findings from a literature review and a clinical trial and investigates the effect of material and environmental factors on interface pressure and friction. Laboratory tests will assess the influ-ence of various mattress surface topographies and bedsheet materials in friction and compression testing us-ing state-of-the-art skin models. - Biomechanical Engineering
- Internship, Lab Practice, Master Thesis, Semester Project
| The goal of this project is to develop a flexible electronic system based on breathable hydrogel electrodes on everyday fabric substrates for myoelectric signal detection. - Biomaterials, Electrical Engineering, Flexible Manufacturing Systems
- 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
| Diaxxo, an innovative ETH Zürich spinoff, is transforming diagnostics with cutting-edge PCR technology that combines lab-grade accuracy with field-ready simplicity. Our mission is to enable faster, affordable, and accessible detection of viral and bacterial infections, driving impact in animal health, food safety, and human diagnostics.
We are seeking a motivated student or part-time worker to join our team in Zürich, starting February 2025 (or a mutually agreed date). This role involves contributing to the assembly of devices and cartridges, lab-based tasks, and quality control. It’s an excellent opportunity to gain hands-on experience in a dynamic startup environment while supporting our mission to revolutionize diagnostics. No specific experience is required—just motivation, commitment, and adaptability. - Biomedical Engineering, Chemical Engineering, Chemistry, Manufacturing Engineering, Mechanical Engineering, Medical and Health Sciences
- Collaboration, ETH Zurich (ETHZ), Internship, Lab Practice, Student Assistant / HiWi
| The goal of the project is to test and optimize a smart sock prototype for plantar pressure measurements that was previously developed in the lab. The prototype will be optimized based on its ability to track pressure during everyday activities as a wearable device. Tests on healthy participants performing standard movements (e.g., walking, climbing stairs, etc) will be performed to compare the sock performance to a commercial gold standard smart insole system. This technology can be used for plantar pressure monitoring in diverse wearable applications ranging from healthcare to sports. - Biomedical Engineering
- Master Thesis, Semester Project
| We invite applications for a Master's thesis / semester project that focuses on the fabrication of microrobots with custom shapes. Using our developed droplet printing technique, this project will explore how different microrobot shapes, created by different magnetic fields and materials, influence their control behaviors in blood vessels. This research aims to advance biomedical technologies, particularly in targeted drug delivery and minimally invasive procedures. - Biomedical Engineering, Colloid and Surface Chemistry, Materials Engineering, Nanotechnology, Printing Technology
- ETH Zurich (ETHZ), Master Thesis, Semester Project, Student Assistant / HiWi
| We are looking for a motivated Master’s student to join an exciting interdisciplinary thesis project, collaborating between the Multi-Scale Robotics Lab (D-MAVT) and the deMello group (D-CHAB) at ETH Zurich. This project focuses on creating a novel microfluidic-based bottom-up method to fabricate multifunctional microrobots. This innovative approach seeks to revolutionize microrobot fabrication, opening the door to diverse new applications. - Biomedical Engineering, Chemical Engineering, Colloid and Surface Chemistry
- ETH Zurich (ETHZ), Master Thesis
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