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To protect from chemical, biological, radioactive, and nuclear (CBRN) contaminants, disposable coveralls are used as personal protective clothing (PPC). In addition to its protective nature, PPC affects heat dissemination from the body, resulting in increased heat strain, which might result in reduced working performance. Therefore, new clothing material developments aim to reduce thermal load while maintaining a protective nature. We conduct a wearing trial in collaboration with an industrial partner to investigate the impact of different types of protective coveralls on heat strain during exposure to warm conditions, including resting phases and physical activity. - Exercise Physiology, Human Biophysics, Physiology, Systems Physiology, Textile Technology
- Internship, Lab Practice, Master Thesis, Semester Project
| The Swiss Energy Strategy 2050 aims to achieve zero net emissions target as of 2050. The four leading Swiss research institutes — Paul Scherrer Institute (PSI), Swiss Federal Laboratories for Materials Science and Technology (EMPA), Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), and Swiss Federal Institute of Aquatic Science and Technology (EAWAG)—are at the forefront of this en-deavour. In the context of the SCENE project, these institutes are collaboratively developing science-based roadmaps that outline the anticipated pathways to attain net-zero emissions before 2040. The tran-sition to net zero requires a multifaceted approach, encompassing technological advancements, con-sumption reductions, and market-based mechanisms for emission compensation and reduction. An es-sential component of this transition is a comprehensive CO2 emission-related cost analysis. This analysis will evaluate the financial implications of shifting energy technologies, reducing consumption, and imple-menting market-based emission compensation and reduction strategies. - Earth Sciences, Economics, Engineering and Technology, Policy and Political Science
- ETH Zurich (ETHZ), Master Thesis
| Nanoparticles will be drawn out from dopant-supersaturated metal oxides, with tunability in their distribution and size. The catalytic performances of the nanoparticle catalysts will be closely examined - Chemical Engineering, Chemistry of Catalysis, Inorganic Chemistry, Materials Engineering, Sensor (Chemical and Bio-) Technology
- Bachelor Thesis, Internship, Lab Practice, Master Thesis, Semester Project, Summer School
| The deployment of onshore wind energy across Europe is influenced by multiple factors, including technical constraints, economic feasibility, environmental sustainability, and social acceptance. While cost-optimal solutions are commonly pursued, a more nuanced approach that considers trade-offs between various objectives is essential for informed decision-making. Different objectives such as low visual landscape disturbance, high monetary benefits, low annoyance to low residents, good wildlife protection etc., are summarized in a systematic review. To explore the trade-offs among these objectives from different stakeholders’ perspectives, Multi-criteria Decision Analysis (MCDA) is necessary for evaluating different possible alternatives. - Engineering and Technology
- Master Thesis
| This Master's thesis/semester project focuses on the microfluidic fabrication of micromachines with multi-environmental responsiveness. The aim is to develop micromachines capable of adapting to various environmental cues. We envision that these micromachines will be used for complex tasks in biomedical and environmental applications. - Chemistry, Engineering and Technology, Medical and Health Sciences
- ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project, Student Assistant / HiWi
| We are offering a paid internship opportunity at the EPFL IMOS lab to explore innovative data generation techniques that enhance the capabilities of Foundation Models. In this role, you will investigate synthetic data creation for Prognostics and Health management (PHM) scenarios, working towards pretraining a foundation model for PHM and scaling synthetic data generation to millions of datasets. You’ll gain hands-on experience with cutting-edge Machine Learning tools, collaborate with researchers, and help shape the future of data-driven PHM. If you're eager to take on the challenge of scaling data generation for Foundation Models, we’d love to hear from you! - Data Storage Representations, Data Structures, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Simulation and Modelling, Software Engineering
- Internship, Master Thesis
| Are you interested in applying data science, signal processing, and machine learning to cutting-edge sensor technology? This project offers an exciting opportunity to work on a unique dataset collected from an advanced wind tunnel experiment, where a high-speed electronic nose (e-nose) was used alongside a Planar Laser-Induced Fluorescence (PLIF) system to monitor gas dispersion. Your task will be to analyse the data, develop models to characterise the e-nose response, and explore methods to extract meaningful information such as response time, transfer function, and saturation effects. The findings will contribute to a better understanding of electronic nose performance in dynamic environments, with applications in environmental monitoring, robotics, and industrial sensing. - Intelligent Robotics, Knowledge Representation and Machine Learning, Robotics and Mechatronics, Signal Processing
- Bachelor Thesis, Semester Project
| This master thesis examines the bottlenecks in climate change adaptation for arable crop farming, with a focus on the behavioral and socioeconomic factors. By analyzing survey data from 700 farms in Germany, it aims to identify the key barriers to effective uptake of adaptation measures and provide insights for developing more efficient and targeted strategies to enhance agricultural resilience to climate change. - Agricultural Economics
- Master Thesis
| Livestock farming is the largest contributor to greenhouse gas (GHG) emissions within agriculture, raising the question of whether reducing livestock populations is essential for achieving low-emission agriculture. This thesis examines whether such reductions are a necessary condition and identifies bottleneck levels of livestock counts for given GHG emission targets. Using Necessary Condition Analysis (NCA), the research also explores the potential of alternative mitigation strategies, such as feed optimization, manure management, and technological innovations. - Agricultural Economics, Agricultural, Veterinary and Environmental Sciences
- Master Thesis
| Event cameras are an exciting new technology enabling sensing of highly dynamic content over a broad range of illumination conditions. The present thesis explores novel, sparse, event-driven paradigms for detecting structure and motion patterns in raw event streams. - Engineering and Technology
- Master Thesis
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