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Optimizing the design of sum-of-squares programs for stability regions of nonlinear systems

  • ETH Zurich
  • Automatic Control Laboratory

The aim of this project is to improve the performance of sum-of-squares programs used for stability region verification by rigorously assessing the effect of various objective functions on the obtained region and required runtime.

  • Electrical Engineering, Numerical Analysis, Optimisation, Programming Techniques, Systems Theory and Control
  • Master Thesis, Semester Project

internship/visiting research opportunity in Harvard Neuroscience

  • Harvard
  • Harvard School of Engineering and Applied Science

The mouse Cerebellum project: A developmental analysis to describe the assembly and maturation of cerebellar neural circuitry in mice.

  • Cell Development (incl. Cell Division and Apoptosis), Cell Neurochemistry, Electronmicroscopy
  • Bachelor Thesis, Internship, Lab Practice, Master Thesis, Semester Project

Einsatz von Autonomen Technologien in der Schweizer Landwirtschaft

  • ETH Zurich
  • Chair of Agricultural Economics and Policy D-USYS

Ermittlung des ökonomischen Potentials des Einsatzes autonomer Technologien in der Schweizer Landwirtschaft.

  • Agricultural, Veterinary and Environmental Sciences, Economics
  • Bachelor Thesis

Development of a pulsatile flow test bench for in-vitro studies on endothelial cells

  • University of Zurich
  • The Interface Group

In this project, a test bench is to be developed which allows the generation of accurately controllable pulsatile flows for in-vitro studies on endothelial cells.

  • Biomechanical Engineering, Fluidization and Fluid Mechanics, Mechanical Engineering
  • Master Thesis

Compact Additive Manufactured Compliant Mechanism for Robotic, Aerospace and Medical Applications

  • ETH Zurich
  • pd|z Product Development Group Zurich

Considering the Potential of Additive Manufacturing for the Development of Compliant Elements in Medical, Robotics and Aerospace Applications

  • Engineering and Technology
  • Bachelor Thesis, Master Thesis, Semester Project

Designing an Event Camera for Learning

  • University of Zurich
  • Robotics and Perception

The goal of this project is to find out how important the design parameters of event cameras, such as spatial and temporal resolution, are for deep learning applications.

  • Image Processing, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing, Simulation and Modelling
  • Internship, Master Thesis, Semester Project

Learning 3D Reconstruction using an Event Camera

  • University of Zurich
  • Robotics and Perception

The goal of this project is to explore a learning-based 3D reconstruction method with an event camera.

  • Image Processing, Intelligent Robotics, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing
  • Collaboration, Internship, Master Thesis

Manipulation of nanowires for engineered strain sensors used in biomedical implants.

  • ETH Zurich
  • Biosensors and Bioelectronics (LBB)

Fabrication of biocompatible strain sensors, resistive or capacitive to be used in-vivo to measure deformation of different tissues. The project is quite broad so many backgrounds will suit. Electrical Engineers, Material Scientist, Biomedical Engineers, among others.

  • Biomedical Engineering, Chemical Engineering, Electrical and Electronic Engineering, Industrial Biotechnology and Food Sciences, Manufacturing Engineering, Materials Engineering, Mechanical and Industrial Engineering, Medical and Health Sciences
  • Bachelor Thesis, Course Project, Internship, Master Thesis, Semester Project

Learning an Event Camera

  • University of Zurich
  • Robotics and Perception

The goal of this project is to explore new techniques for modelling an event camera.

  • Intelligent Robotics, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing, Simulation and Modelling
  • Internship, Master Thesis, Semester Project

Asynchronous Processing for Event-based Deep Learning

  • University of Zurich
  • Robotics and Perception

The goal of this project is explore ways to adapt existing deep learning algorithms to handle sparse asynchronous data from events.

  • Engineering and Technology
  • Master Thesis, Semester Project
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