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Develop a Fourier transform profilometry system to measure the elevation of the wavy water surface generated by wind blowing over the water. - Fluid Physics, Mechanical Engineering, Oceanography
- Master Thesis
| 30 June - 29 August 2025. The fellowship provided by the Computer Science Department of ETH takes place during two summer months and is open to all students worldwide. The department is committed to increasing diversity in the computer science area. - Information, Computing and Communication Sciences
- ETH SSR Fellowship Program (ETHZ), Internship, Lab Practice
| The project will utilize radar sensor data, specifically time-series data of 3D point clouds and range-Doppler
maps, to analyze body and micro-movements. Initial data preprocessing will involve normalizing and filtering.
Subsequently a model will be developed to extract breathing rate using algorithms based on Fourier transform,
wavelet transform, and artificial intelligence. The model will be validated against wearable monitoring methods
using data from a clinical study involving 40 participants, encompassing over 480 nights of sensor data. - Artificial Intelligence and Signal and Image Processing, Biomechanical Engineering, Clinical Engineering, Computer Software, Rehabilitation Engineering
- Master Thesis
| For this project, the student will utilize datasets previously collected from farrowing sows in a controlled farm
setting. The data will be cleaned and pre-processed to remove noise and artifacts. The student will explore signal
and image processing techniques that can be applied to process radar data, e.g., 3D points with corresponding
velocity information (point cloud) and range-doppler maps. Then, the student will design a workflow to identify
farrowing patterns, i.e., the time of farrowing and the delivery intervals between piglets with the help of radar
signals. Lastly, Machine learning techniques, including supervised pattern recognition models, will be employed
to analyse the data and develop an alert system capable of identifying abnormal farrowing patterns. - Artificial Intelligence and Signal and Image Processing, Biomechanical Engineering, Clinical Engineering, Computer Software
- Master Thesis
| Direct Air Carbon Capture and Storage (DACCS) of carbon dioxide (CO2) is a promising technology to combat climate change: DACCS systems remove CO2 directly from the atmosphere and store it permanently, thereby resulting in negative CO2 emissions and a decrease in the atmospheric CO2 concentration. The performance of DACCS systems depends on climate conditions, the price, availability, and greenhouse-gas-intensity of energy sources, and the proximity to CO2 storage sites. Therefore, operational costs and deployment potential of DACCS systems are highly location-specific.
Current literature includes studies that examine the effect of location-specific meteorology on the techno-economic performance of DAC technologies [1], [2], [3]. Notably, Terlouw et al. [3] have determined the geospatial performance of potential grid-connected DAC plants in Europe, considering climate conditions as well as the environmental and economic costs associated with the entire DACCS supply chain. The analyzed supply chain includes the capture step and its energy requirements, CO2 transportation and storage.
In this thesis, you will expand current geospatial models developed at ETH Zurich (among others the one by [3]) to a global scope, assessing additional environmental impact categories beyond climate change to identify potential environmental implications of large-scale DACCS deployment
[1] M. Sendi, M. Bui, N. Mac Dowell, and P. Fennell, “Geospatial analysis of regional climate impacts to accelerate cost-efficient direct air capture deployment,” One Earth, vol. 5, no. 10, pp. 1153–1164, Oct. 2022, doi: 10.1016/j.oneear.2022.09.003.
[2] J. F. Wiegner, A. Grimm, L. Weimann, and M. Gazzani, “Optimal Design and Operation of Solid Sorbent Direct Air Capture Processes at Varying Ambient Conditions,” Ind. Eng. Chem. Res., vol. 61, no. 34, pp. 12649–12667, Aug. 2022, doi: 10.1021/acs.iecr.2c00681.
[3] T. Terlouw, D. Pokras, V. Becattini, and M. Mazzotti, “Assessment of Potential and Techno-Economic Performance of Solid Sorbent Direct Air Capture with CO2 Storage in Europe,” Environ. Sci. Technol., Jun. 2024, doi: 10.1021/acs.est.3c10041.
- Engineering and Technology
- ETH Zurich (ETHZ), Master Thesis
| fNIRS is rapidly gaining popularity due to its versatility and non-invasiveness. It is now recognized that
preprocessing choices, such as motion artifacts methods and parameter settings, can significantly
affect fNIRS results, potentially altering the accuracy of brain activity measurements. This is where your contribution will make a difference. Proper fNIRS data preprocessing is crucial for accurate brain research. Variations in methods can introduce inconsistencies in results and affect the reliability of study outcomes. - Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| Create a next-gen resin that switches from solid to liquid using light! Dive into synthesizing, testing, and refining this unique material with exciting potential in the watch industry and beyond. Ideal for a chemistry or engineering student ready to explore the full journey—from lab synthesis to real-world application. Join us to make light a game-changer in material science! - Chemical Engineering, Organic Chemical Synthesis, Plastics, Polymers, Synthesis of Macromolecules
- ETH Zurich (ETHZ), Master Thesis
| In an ongoing project, the BORL investigates the influence of everyday factors (e.g. breathing, posture, exercise, time of day/year, age, weight, room temperature, room lighting, food intake) by themselves on the systemic physiology and the brain, and ii) to study how these factors influence the measurement of brain activity. Optical neuroimaging with fNIRS is rapidly gaining popularity in neuroscience. It measures brain activity by determining the changes in hemodynamics and oxygenation elicited by neurovascular coupling (NVC). In previous studies, it had been assumed that the measured changes relate only to neuronal activity. Now it has been shown that neuronal activity and NVC interact with systemic physiology. Therefore, it is to be expected, and in part has been demonstrated, that daily factors influence the relationship between systemic physiology and NVC. The project is hosted by Biomedical Optics Research Laboratory (BORL), Department of Neonatology, University of Zurich. Join the cutting-edge systemic physiology augmented functional near-infrared spectroscopy research with BORL The lab is equipped with everything needed to conduct measurements. We are an interdisciplinary team with a great spirit that offers you an exciting environment. You will learn how to acquire fNIRS and physiological data, how to analyze and interpret them. - Behavioural and Cognitive Sciences, Engineering and Technology, Medical and Health Sciences, Physics
- Internship, Master Thesis, Semester Project
| Scanning ion conductance microscopy (SICM) is the non-contact SPM technology to image live cells based on glass capillaries with a nanometric aperture. It applies a voltage and measures the ionic current flowing through the pipette above the sample in the buffer solution: the recorded current represents the feedback signal to measure the topography of the sample. In collaboration with Prof. Fantner at EPFL, this project aims to assemble a state of the art high-speed SICM to enable time-resolved live cell imaging. - Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Nanotechnology, Signal Processing
- ETH Zurich (ETHZ), Master Thesis
| Pemphigus vulgaris (PV) is a unique group of autoimmune diseases. Researches have demonstrated that antibody-induced disruption of Dsg3 transadhesion initiates a signaling response in basal keratinocytes followed by loss of tissue integrity. The complexity of morphogenesis and tissue regeneration implies the existence of a transcellular communication network in which individual cells sense the environment and coordinate their biological activity in time and space.
To understand the fascinating ability of tissue self-organization, comprehensive study of biophysical properties (cell topography and bioelectricity) in combination with the analysis of biochemical networks (signaling pathways and genetic circuits) is required.
Together with the University of Bern and University of Lübeck, we aim to utilize the tools to study the topography and electrophysiology (cell potential, ion channel recording, localized ion detection, charges) of HPEK cells (human primary keratinocytes cells) to unravel the signaling pathways of the disease. We utilize optical imaging (fluorescence dyes) and biosensing tools (including the state of the art hs-SICM and electrical FluidFM setup) to study HPEK cells upon desmosome disruption.
- Biology, Biomedical Engineering, Chemistry, Electrical and Electronic Engineering, Interdisciplinary Engineering, Medical and Health Sciences
- Bachelor Thesis, Lab Practice, Master Thesis, Semester Project, Summer School
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