Institute of Design, Materials and FabricationOpen OpportunitiesBühler, a leading industry manufacturer in Uzwil, is partnering with ETH Zürich's Feasibility Lab to offer a unique master thesis opportunity. Throughout your thesis, you'll work hand-in-hand with a team of like-minded peers, following the principles of cross-functional teamwork and agile project planning. You can explore your interests in AI/Machine Learning, Robotics, UX, Additive Manufacturing, Food Science and more and actively define your own project scope. - Digital Systems, Environmental Technologies, Industrial Biotechnology and Food Sciences, Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Drying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Global Health Engineering is a group composed of environmental and mechanical engineers, economists and social scientists. Our work is transdisciplinary and all research focuses on engineering aspects of environmental and human health in resource-constrained countries. We look for a student research assistant to continue developing (hardware+software) the low-cost sensors for biogas composition and flow measurements, as well as program other tasks, e.g., web scraping for scientific grant management. - Electrical Engineering, Environmental Technologies, Mechanical Engineering
- ETH for Development (ETH4D) (ETHZ), Student Assistant / HiWi
| Drying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| APPLICATION CLOSED - 1 – 5 July 2024 - This summer school focuses on computational design which is essential for effectively exploring the large design space and thus reaching the full potential of additive manufacturing. - Engineering and Technology
- IDEA League Summer School (IDL), Summer School
| Anaerobic digestion (AD) is considered one of the oldest and most sustainable biological treatment technologies for stabilizing and reducing organic waste, including food waste, sewage sludge, industrial waste, and farm waste. AD transforms organic matter into biogas (60–70 vol-% of methane), thereby reducing the volume of the waste whilst destroying some of the pathogens present in the waste feedstocks and limiting odor problems associated with waste materials (Appels et al., 2008; Gerardi, 2003). AD is a promising energy, waste management, and sanitation solution in low-resource, low-income settings (Forbis-Stokes et al., 2016; Owamah et al., 2014). However, it does not fully eliminate pathogens for safe environmental discharge. Three ETH master students (Hardeman, 2022; Jäggi, 2023; Luz, 2022) iteratively developed and optimized the biogas reactor and the solution for sludge pasteurization to homogeneously heat the effluent and render the liquid safe for discharge. However, the technology needs further improvements and adaptations to operate reliably in continuous mode in all environmental conditions. - Mechanical Engineering
- ETH for Development (ETH4D) (ETHZ), ETH Zurich (ETHZ), Master Thesis
| What happens when you flush the toilet? Together with urine and feces, valuable nutrients are lost. Recovering nutrients such as nitrogen and phosphorus from urine is crucial for agriculture and environmental protection while potentially offering financial value through fertilizer sales. The separation of human excreta offers a resource-efficient wastewater treatment alternative not only for fast-growing cities and low-income countries, but also for the industrialized parts of the world. During onsite treatment, stabilizing urine is key to prevent ammonia volatilization causing nitrogen loss and environmental harm. A promising method to stabilize urine is to increase the pH-value (alkaline stabilization), whereby urea breakdown and thereby ammonia release is inhibited at high pH levels using basic salts like calcium hydroxide (Ca(OH)2). When efficiently mixed with fresh urine, Ca(OH)2 not only stabilizes urine but also aids in phosphate separation and reduces the risk by pathogens. - Environmental Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| The goal of this thesis is to create a system for 3D semantic segmentation of anesthesia procedures from multiple RGB-D cameras. We are looking for a motivated student who is passionate about applying machine learning and computer vision methods and working with a multi-camera setup in a surgical setting. - Artificial Intelligence and Signal and Image Processing, Computer Software, Information Systems
- Master Thesis, Semester Project
| The goal of this thesis is to create a system to perform Hand-Tool Pose Estimation during Surgical Tool Usage. We are looking for a motivated student who is passionate about applying machine learning and computer vision methods and working with a multi-camera setup in a surgical setting. - Artificial Intelligence and Signal and Image Processing, Computer Software, Information Systems
- Master Thesis
| The goal of this thesis is to create a system that combines multiple RGB-D cameras and IMU sensors attached to a human to create a context-aware robot arm support system for manual assembly. By combining the low-level sensor information with large vision-language models, such as CLIP and GPT4, this thesis will explore how to extract context-awareness from manual workflows and use this for optimal autonomous robot assistance. - Artificial Intelligence and Signal and Image Processing, Computer Software, Information Systems
- Master Thesis
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