 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 OpportunitiesThe focus of this project is on the fabrication of microelectrodes for advanced neural interfaces in a cutting-edge cleanroom environment. Our research aims to develop high-resolution neural probes utilizing state-of-the-art microfabrication techniques. - Biomedical Engineering, Biosensor Technologies, Mechanical Engineering, Nanotechnology
- Master Thesis, Semester Project
| This project focuses on the design of low-noise, low-power, compact amplifiers for next-generation neural interfaces. - Integrated Circuits
- Master Thesis, Semester Project
| Polymer networks are made by cross-linking polymer chains at their ends by means of a chemical reaction. While the properties of used reactions are usually very well characterized for small molecules, little is known about how the presence of a polymer chain and its length affect this reaction. In this project, we aim to study this, mostly experimentally, but also including a theoretical approach. We propose to start with boronic ester chemistry, which has been already characterized in literature and in our lab. the reactants will be functionalized on linear PEG chains. We plan on studying both the thermodynamic and kinetic parameters. - Characterisation of Macromolecules, Physical Chemistry of Macromolecules, Thermodynamics and Statistical Physics
- Bachelor Thesis, Master Thesis, Semester Project
| The manipulation of materials and fluids through acoustic streaming has emerged as a powerful technique with applications in manufacturing and biomedical engineering. This method utilizes sound waves to control the movement of particles within a fluid, offering precise and non-invasive manipulation. However, achieving freeform path manipulation—guiding materials along complex, non-linear trajectories—remains a significant challenge due to difficulties in controlling the influence range and vortex dynamics of acoustic streaming. Traditional methods often struggle with maintaining precision and stability along intricate paths, as the non-uniform distribution of acoustic forces complicates consistent directionality. Artificial Intelligence (AI) presents a promising solution, enabling real-time control and optimization of these systems. By integrating AI with acoustic streaming, algorithms can analyze and predict the interactions between acoustic forces and fluid dynamics, allowing for dynamic adjustments that enhance accuracy.
In this thesis, we propose addressing these challenges by implementing a pillar array of acoustic actuators coupled with AI-driven control systems. The pillar array will generate and modulate acoustic streaming fields, while AI will optimize and automate their control in real time. This integration aims to improve the precision of freeform path manipulation, facilitating the creation of complex patterns that are otherwise difficult to achieve, thereby expanding the possibilities for material manipulation across various applications.
- Artificial Intelligence and Signal and Image Processing, Communications Technologies, Computation Theory and Mathematics, Computer Hardware, Computer Software, Information Systems, Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering, Medical and Health Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| Lumbar spinal stenosis (LSS) is a condition characterized by the narrowing of the lumbar spinal canal, resulting in compression of the nerve roots or cauda equina. Patients with LSS often exhibit altered spinal kinematics and compensatory movement patterns, which can increase paraspinal muscle activity and segmental loads. This study aims to estimate the spinal loads in LSS patients using an advanced full-body musculoskeletal model within the AnyBody Modeling System, incorporating patient-specific motion-capture data. Gaining a deeper understanding of the differences in spinal kinematics between LSS patients and healthy individuals, and their effects on spinal loading, could inform more effective treatment and rehabilitation strategies. - Biomechanical Engineering
- Master Thesis
| This project aims to develop a detailed model of a reinforced concrete building requiring seismic performance enhancements. Key outcomes include translating building data into a Finite Element model, investigating material properties, calibrating the model with real data, and conducting dynamic analysis under earthquake excitation. - Mechanical Engineering, Structural Engineering
- ETH Zurich (ETHZ), Master Thesis
| This thesis extends an innovative approach, developed at ETH Zurich to reduce seismically induced vibrations in buildings. The goal is to design and model a seismic retrofitting device, called NegSV, which employs negative stiffness. Building on previous studies of a scaled model, this work focuses on developing the device for practical use. Key tasks include mechanical design, finite element modelling, and structural analysis to assess the capacity of the system. - Automotive Engineering, Mechanical Engineering, Structural Engineering
- ETH Zurich (ETHZ), Master Thesis
| The aim of this project is to develop and improve wearable electronics solutions for data acquisition from textile-based sensors used in our smart clothing. - Engineering and Technology, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| Fracture healing is a complex process that involves inflammation, angiogenesis, and bone remodeling. The remodelling process helps maintain bone density, repair micro-damage that occurs due to everyday activities, and adapt bones to the specific needs of an individual's body. Mechanical loading is a crucial factor in the regulation of fracture healing. The forces and strains experienced by the bone during everyday activities influence the cellular responses, callus formation, bone deposition, remodelling, and, ultimately, the successful recovery of the fractured bone. The mechanisms underlying spatial cell reorganization during loading, which contributes to fracture healing, remain unclear. The project aims to investigate and explore the fracture healing process of mice using spatial transcriptome changes in response to mechanical loading. By shedding light on this aspect, the project aims to contribute to the broader understanding of fracture healing and potentially pave the way for more effective treatment strategies in the future. - Biological Mathematics, Computational Biology and Bioinformatics, Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences, Physics
- Bachelor Thesis, Course Project, ETH for Development (ETH4D) (ETHZ), ETH Zurich (ETHZ), IDEA League Student Grant (IDL), Internship, Master Thesis, Semester Project
| The goal of the project is to modify commercially available conductive yarns to improve their operational properties for potential employment in novel garment-embedded sensors for human motion detection. - Engineering and Technology, Medical and Health Sciences, Other Chemistry
- Semester Project
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