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ETH Zurich

AcronymETHZ
Homepagehttp://www.ethz.ch/
CountrySwitzerland
ZIP, City 
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Phone
TypeAcademy
Current organizationETH Zurich
Child organizations
  • Biomedical Image Computing Group
  • Department of Architecture
  • Department of Biology
  • Department of Biosystems Science and Engineering
  • Department of Chemistry and Applied Biosciences
  • Department of Civil, Environmental and Geomatic Engineering
  • Department of Computer Science
  • Department of Earth Sciences
  • Department of Environmental Systems Science
  • Department of Health Sciences and Technology
  • Department of Humanities, Social and Political Sciences
  • Department of Information Technology and Electrical Engineering
  • Department of Management, Technology, and Economics
  • Department of Materials
  • Department of Mathematics
  • Department of Mechanical and Process Engineering
  • Department of Physics
  • ETH Competence Center - Energy Science Center (ESC)
  • ETH Competence Center - World Food System Center
  • ETH Competence Center - Competence Center for Rehabilitation Engineering and Science (RESC)
  • ETH Competence Center - ETH AI Center
  • ETH Competence Center - ETH Risk Center
  • ETH Competence Center - Lehren und Lernen (EducETH)
  • ETH Competence Center for Materials and Processes (MaP)
  • ETH for Development
  • ETH Global
  • ETH Sustainability
  • Future Resilient Systems
  • Groupe de foresterie pour le développement (GFD)
  • Institute of Science, Technology and Policy
  • IT'IS Foundation
  • Rectorate
  • RobotX Center
  • Singapore-ETH Centre, Future Cities Laboratory
  • Soil and Terrestrial Environmental Physics (STEP)
  • Student Exchange Office
  • Student Project House
  • VSETH
  • WearLab
Members
  • Wyss Translational Center Zurich
  • Paul Scherrer Institute
  • Empa
  • Eawag
  • Swiss Federal Institute for Forest, Snow and Landscape Research
Memberships
  • International Alliance of Research Universities
  • Research Internships at HU Berlin
  • IDEA League
  • Hochschulmedizin Zürich
Partners
  • IDEA League


Open Opportunities

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Understanding Tissue Augmentation with Hydrogels

  • ETH Zurich
  • Nanoparticle Systems Engineering Laboratory

The interest in material platforms formed by hydrogels in direct contact with tissues or cells has continued to grow in biomedical engineering technologies due to their simple implementation and robust properties. However, even with increased interest in these systems little is known about how these material systems integrate into tissues and if they can be utilized to augment human tissues to treat disease or reverse tissue damage. This project aims to increase our understanding of the changes to tissues that occur upon addition of hydrogel systems and identify formulations that can be further investigated to solve clinical needs and improve patient care.

  • Biomedical Engineering, Chemical Engineering, Materials Engineering
  • Master Thesis, Semester Project

Detection of Cardiac Waves using a Smartphone

  • ETH Zurich
  • Biomedical and Mobile Health Technology Lab

We aim to develop a machine-learning model that assesses heart activity and extract cardiac signal from a smartphone camera.

  • Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
  • Bachelor Thesis, Master Thesis

Discrete element modeling of powder layer generation in additive manufacturing

  • ETH Zurich
  • Advanced Manufacturing Laboratory

Using a existing Discrete element method implementation, the process of recoating in laser powder bed fusion is to be simulated and compared to experimental results.

  • Computer Software, Mechanical and Industrial Engineering
  • Bachelor Thesis, Master Thesis, Semester Project

Camera to GPS calibration for trains using maps

  • ETH Zurich
  • Autonomous Systems Lab Other organizations: Vision for Robotics Lab

The ability to detect obstacles on the vehicle's path is crucial for developing autonomous vehicles, such as trains or cars. Detecting objects early enough and, therefore, at a long range is crucial, especially for heavy vehicles like trains. It is helpful to know where the train tracks and other infrastructure elements are for vision-based systems. Rather than using machine learning approaches, which require extensive labeled training data and long inference times, one could reproject a known railway map into the camera view. Estimating the camera's exact position and rotation relative to the vehicle, and achieving a good alignment, is the challenge here.

  • Computer Vision, Image Processing, Mechanical Engineering, Pattern Recognition
  • Semester Project

12-weeks student project - Deep learning-based image analysis to investigate early embryo development

  • ETH Zurich
  • Computational Biology (CoBi)

Using state-state-of-the art deep learning models, we will analyse early embryo development with the goal to understand the principles of self-organisation.

  • Cell Development (incl. Cell Division and Apoptosis), Computational Biology and Bioinformatics, Image Processing, Neural Networks, Genetic Alogrithms and Fuzzy Logic
  • Semester Project

Sweat biomarker levels estimation using a smartphone

  • ETH Zurich
  • Biomedical and Mobile Health Technology Lab

We want to analyze sweat biomarkers collected via smartphone from subjects at rest and after exercise.

  • Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
  • Bachelor Thesis, Master Thesis

Instantaneous detection of anxiety using a portable device

  • ETH Zurich
  • Biomedical and Mobile Health Technology Lab

We want to analyze biomedical signals collected from subjects with induced anxiety using a portable device. We aim to detect instantaneous anxiety and mood changes via portable devices. The data were already collected and ready to be analyzed. The data description is here: https://www.mdpi.com/2306-5729/7/9/132

  • Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
  • Bachelor Thesis, Master Thesis

Physics-aware 3D Human Pose Estimation for Mixed Reality

  • ETH Zurich
  • Sensing, Interaction & Perception Lab

How do we design differentiable methods for full-body pose estimation from sparse sensors to create physically plausible results?

  • Engineering and Technology, Information, Computing and Communication Sciences
  • Master Thesis, Semester Project

Manufacturing and piloting of a novel urine-diverting toilet in Bangladesh

  • ETH Zurich
  • Global Health Engineering

Currently, more than 2.6 billion people lack access to safe and affordable sanitation (SDG6). Flush toilets connect to sewer systems consume scarce water resources, are expensive, and are difficult to install in densely populated areas. There are alternatives that do not rely on water, but these technologies are also not suited for populations that use water, instead of paper, for anal cleansing. Akyas, a social enterprise, has developed a novel prototype that allows for the separation of excreta and ablution water; this prototype is in the early stages of development and requires both pilot and community testing. The goal of this project is to refine the current prototype, test it with artificial excreta, engage with manufacturers for production, and test the first product with actual users (most likely in Bangladesh).

  • Engineering and Technology
  • Master Thesis

PhD Position: Digital Strategy for the IoT and AI

  • ETH Zurich
  • Bosch IoT Lab

The Bosch IoT Lab (Prof. Dr. Oliver Gassmann, Prof. Dr. Felix Wortmann) – a joint initiative of the Institute of Technology Management at the University of St. Gallen, the Department of Management, Technology, and Economics at ETH Zurich, and the Bosch Group – is looking for: Research Assistant and PhD Student «Digital Strategy for the IoT and AI. The Internet of Things (IoT) with its smart, connected products is having a disruptive impact on product companies. In essence, the convergence of the IoT and artificial intelligence (AI) is fundamentally changing the way they create and capture value. To leverage the potential of the IoT and AI, product companies develop digital strategies that outline how an organization uses these technologies to capitalize on their potential. In light of these developments, we are looking for a personality with a strong will to create a meaningful impact. Are you eager to investigate how product companies develop and implement their digital strategies? Are you keen on understanding what fundamental megatrends and opportunities they address and what key measures they consequently implement? We are looking for you!

  • Economics, Engineering and Technology
  • PhD Placement
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