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This project aims at developing a machine learning approach (for example, using convolutional neural networks) for localizing and tracking anatomical landmarks from cardiac MR images. - Biomedical Engineering, Electrical and Electronic Engineering
- Master Thesis
| 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
| 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
| The project investigates the development of a co-axial extrusion methods for large-scale 3D printing bio-cementation structures. The extruded paste will host microorganisms such as S.Pasteurii, capable of precipitating calcite (MICP) to create bio-concrete structures. A robotic paste 3D printing platform will be used for the fabrication process; the bio-paste will be precipitated and calcified by the bacterial activity reinforcing the material. - Architecture, Urban Environment and Building, Chemistry, Engineering and Technology
- Bachelor Thesis, Master Thesis, Semester Project
| Sum-of-Squares (SOS) relaxation is a beautiful technique to solve nonconvex optimization problems. As computational capabilities continue to increase, so is the scope of engineering challenges that can be tackled with this method. The goal of this project is to exploit the flexibility of SOS relaxations to design new data-driven control methods for linear dynamics, that can more efficiently incorporate prior knowledge on the system and cope with noisy input-output data. - Dynamical Systems, Optimisation, Systems Theory and Control
- Applications (IfA), Computation (IfA), Master Thesis, Theory (IfA)
| The goal of the project is to develop and test a smart sock prototype for plantar pressure measurements. The smart sock contains textile based pressure sensors and a readout module. This technology can be used for plantar pressure monitoring in diverse wearable applications ranging from healthcare to sports. - Biomedical Engineering, Medical and Health Sciences
- Master Thesis
| The efficient operation of excavators in construction environments necessitates precise pose estimation of their buckets. Current methods rely on IMUs placed on the excavator arm which require tedious calibration and can be damaged during construction operations. This project aims to leverage computer vision and machine learning to enhance pose estimation, thereby enabling VR overlays for teleoperation and facilitating automation tasks. - Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| The Traverso Lab at Brigham & Women's Hospital (Harvard Medical School) is focused on the development of commercializable products and technologies. One of our current interests is in leveraging computational and experimental methods to develop novel food products. We are seeking motivated and independent students to join our lab for their master's thesis. Students will be expected to develop competent physical models, simulate fluidics and mechanics, perform rheological tests, and validate theoretical models with experiments. Experience in these areas is beneficial but not necessary. We aim to recruit students with creativity, a willingness to learn, and the ability to work collaboratively on a team of interdisciplinary scientists and engineers. - Engineering and Technology
- Internship, Master Thesis
| About 8inks:
Lithium-ion batteries have revolutionized the world we live in today by enabling applications in mobile electronics
ranging from laptops, smart phones, to smart watches. Today, electrification of large industries such as electric
passenger vehicles, trucks, grid energy storage, and aviation is inhibited as conventional lithium-ion batteries
approach the limits of their performance. NextGen batteries are considered to bring the required performance
improvements but lack a low-cost, scalable manufacturing solution for market breakthrough.
At eightinks, we develop a revolutionary manufacturing solution of NextGen batteries: multilayer curtain coating. Our
technology allows high battery energy density, charging speed, and safety, all combined with lower production costs. It
is material agnostic and can serve as a platform solution for various segments of the battery market. To develop our
technology to the earliest possible market entry, we are working on all relevant aspects of NextGen battery design,
production, assembly, and testing. - Engineering and Technology
- Internship, Student Assistant / HiWi
| Landslides are a dangerous natural hazard affecting the lives of people all over the world. This thesis will focus on the detection of paraglacial landslides from a global glacier-velocity dataset. The behavior of these sites throughout time will be analyzed and compared to an existing landslide database. - Geomorphology, Glaciology
- Master Thesis
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