Search for public opportunitiesRegister now and browse all open positions. It's free!Profit from a great search interface and directly apply to the position of your choice. SiROP - Excellence in Science! Profit from a great search interface and directly apply to the position of your choice. SiROP - Excellence in Science! Notify me when new projects of my interest are advertized!You define what you are interested in and we will send you an Email when a new project matches your criteria, it's that easy. You define what you are interested in and we will send you an Email when a new project matches your criteria, it's that easy. Results |
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Heterogeneous catalysis and chemical sensing are surface-controlled processes extensively studied over supported metal oxide nanoparticles. Their properties arise from the complex interplay between the added metal and support, which occurs on two, intimately related, levels: electronic and geometric. Unravelling these interactions is key to the identification of the most favourable active site speciation, governing catalyst reactivity. | The Zero Carbon Building Systems (ZCBS) Lab is a pioneering research hub within the Architecture and Building Systems Group at ETH Zurich. The lab is the first of its kind on the Hönggerberg campus, dedicated to advancing low-carbon building systems, components testing, and climate simulations.
As part of a short-term maintenance project, we are seeking a motivated student assistant to help reconstruct our state-of-the-art LED Solar Simulator (artificial sun). This unique facility simulates sunlight by providing parallel light that provides 1.2 KW/m², surrounded by an artificial global climatic test chamber that can replicate various climatic and geographical conditions.
check it out: https://systems.arch.ethz.ch/zero-carbon-building-systems-lab - Building, Electrical and Electronic Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Lab Practice, Master in Integrated Building Systems (ETHZ), Student Assistant / HiWi
| As Switzerland advances towards achieving the Swiss Energy Strategy 2050, decarbonization efforts are gaining momentum, especially for small-scale districts and energy communities. In this context, hydrogen technologies, alongside waste heat recovery, represent promising solutions to decarbonize and enhance the flexibility of energy systems. These technologies offer potential benefits in improving energy efficiency and reducing emissions, particularly when integrated into multi-energy networks that enable efficient energy sharing within prosumer communities. Optimizing the integration and operation of hydrogen systems, along with recovering waste heat, is crucial to maximizing both economic and ecological benefits. This project will investigate the optimal integration of hydrogen technologies and waste heat recovery in small-scale districts and energy communities, focusing on maximizing decarbonization while maintaining economic viability. One key outcome of the project is the identification of scenarios where these technologies offer the most significant benefits and explore how to best integrate them within energy-sharing communities. - Engineering/Technology Instrumentation, Mechanical and Industrial Engineering
- Master Thesis, Semester Project
| - Chemical Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Forschungspraktikum/ Masterarbeit
"Erforschung des Gedächtnisses bei Patient:Innen mit Depressionen"
- Clinical Sciences, Cognitive Science, Neurosciences, Psychology
- Internship, Lab Practice, Master Thesis, Semester Project
| Robotic automation represents mankind’s next leap. While the industry has already embraced robotization, robot driven domestic aid is only at the beginning of the revolution. Dealing with unconstrained daily environments is more challenging than automating manufacturing production lines. The growing diffusion of semi-autonomous assistive quadrupedal robots that can handle obstacles triggered the change. Nonetheless, robot control still requires active human supervision, which can be tedious in ordinary surroundings or even impossible in clinical circumstances. - Electrical Engineering
- Computer Vision (PBL), Master Thesis, Robotics (PBL), Software (PBL)
| The Biomaterials Engineering (BME) group of Professor Xiao-Hua Qin is recruiting 1-2 Master Thesis students in micro-tissue chip development. - Biomedical Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), IDEA League Student Grant (IDL), Lab Practice, Master Thesis, Semester Project
| The project shall enable all people – regardless of their physical or cognitive abilities – to work in the kitchen - Engineering and Technology, Medical and Health Sciences
- Master Thesis, Semester Project
| Buildings in Switzerland account for 42% of total energy use and 26% of CO2 emissions, with heating making up 68% of this consumption. Our semester thesis focuses on reducing heating energy while maintaining tenant comfort by optimizing heating curves using Contextual Bayesian Optimization. Heating curves define the relationship between outdoor temperature and heating power, and we adjust these parameters to minimize energy use while ensuring comfort.
We optimize a 2-point linear heating curve, incorporating contextual information like temperature, and iteratively refine parameters through simulation. Our approach emphasizes simplicity and accessibility, but the complexity of adaptive systems can hinder transparency, which we address by developing an interactive interface. This interface visualizes comfort and energy trade-offs, highlights "safe" parameter regions, and allows users to adjust heating curves interactively.
Our research explores the most effective heating curve parameterizations, enhancing system transparency and usability to promote broader adoption of energy-efficient heating solutions. - Building Science and Techniques, Optimisation, Simulation and Modelling
- Semester Project
| Robotic-assisted microsurgery has gained significant attention in recent years, particularly with the development of specialized systems like the Symani® Surgical System, designed for procedures such as microanastomoses of blood vessels. While these systems are fully controlled by surgeons, they are subject to variability due to differences in individual skill levels. Autonomous robotic surgery systems offer the potential to overcome these limitations by delivering enhanced precision, efficiency, and consistency compared to surgeon-controlled techniques. However, modeling complex procedures like microanastomoses presents significant challenges, making it difficult to apply traditional model-based approaches for autonomous control. In this project, we aim to investigate the use of deep reinforcement learning (RL) for autonomous robotic microanastomoses, leveraging the recently introduced Orbit-surgical training platform.
- Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- Master Thesis
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