Max Planck ETH Center for Learning Systems| Acronym | MPG ETH CLS | | Homepage | http://learning-systems.org/ | | Country | [nothing] | | ZIP, City | | | Address | | | Phone | | | Type | Alliance | | Current organization | Max Planck ETH Center for Learning Systems | | Members | |
Open OpportunitiesEnergy consumption in buildings accounts for over 30% of worldwide energy consumption. Mitigating energy consumption is typically done by improving operation of heating and cooling systems in buildings. However, there is limited analysis of implementation and tuning of data-driven controllers, which prevents their wide use. This project addresses the challenges related to tuning of data-driven controllers for implementation. - Electrical and Electronic Engineering
- Master Thesis, Semester Project
| Data-driven control of nonlinear systems is a hot, exciting new field. Can it perform as well as model-based control? In this thesis, you get to find out by doing experiments on a smart apartment. - Civil Engineering, Electrical Engineering
- Master Thesis, Semester Project
| Be part of an interdisciplinary team and contribute to a project investigating the vocal repertoire of free-ranging
killer whale calls using bioacoustics and machine learning techniques. - Behavioural and Cognitive Sciences, Environmental Sciences, Pattern Recognition, Signal Processing, Sociobiology and Behavioural Ecology, Speech Recognition
- Master Thesis
| Fixed wing and VTOL (Vertical Take Off and Landing) type UAVs have become a crucial part of the drone industry. However, due to the nonlinear nature of the dynamics of these vehicles, it takes considerable engineering effort to tune the controllers for these vehicles.The purpose of this project is to explore the possibility of automating the process of tuning high level longitudinal flight controls. - Intelligent Robotics, Robotics and Mechatronics
- Master Thesis, Semester Project
| Gait patterns in multiple impairments present unique and complex patterns, which hinders the proper quantitative assessment of the walking ability for chronic ambulatory conditions when translated to daily living. In this project, we will focus on finding clusters of gait patterns through unsupervised learning from a large dataset of incomplete spinal cord injury individuals. The goal is to investigate hidden patterns in relation to the type of injuries and find their application for future diagnosis and rehabilitation treatment.
Your work will guide future rehabilitation methods in general clinical practice, through applied classification and dimensionality reduction in Biomechanics of walking.
Goal: Develop an unsupervised clustering pipeline for a large dataset of gait patterns from spinal cord injured individuals for class similarity evaluation
- Engineering and Technology, Expert Systems, Medical and Health Sciences, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing, Simulation and Modelling
- Bachelor Thesis, ETH Organization's Labels (ETHZ), Internship, Master Thesis, Semester Project
| This hands-on work (internship or semester project) within a clinical setting will bring you close to intelligent health management while exploring multiple data systems. You will experience multimodal data of robotics rehabilitation, general clinical practice, and detailed clinical studies applied in classification and dimensionality reduction. - Computer Vision, Computer-Human Interaction, Engineering and Technology, Expert Systems, Information Systems Development Methodologies, Information Systems Management, Intelligent Robotics, Interfaces and Presentation, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing
- Bachelor Thesis, Internship, Master Thesis, Semester Project, Student Assistant / HiWi
| At present, no optimum solution present commercially or in published research that can provide a method for accurate, long term, non-invasive and unobtrusive bladder monitoring. In this project, the student will develop a multi-sensor system based on novel sensors and incorporate state of the art, sensor fusion algorithms to enable non-invasive bladder volume measurements for the SCI population to be tested in collaboration with the SCAI-Lab (ETHZ / SPZ) in Nottwil.
The Main Host Place will be: Center for Project-Based Learningat D_ITET - Biomedical Engineering, Electrical and Electronic Engineering, Industrial Biotechnology and Food Sciences, Interdisciplinary Engineering
- Bachelor Thesis, ETH Organization's Labels (ETHZ), Internship, Master Thesis, Semester Project
| Be part of an interdisciplinary team and contribute to a signal processing project about pitch tracking of killer whale calls. The goal is a publication about the new method that we develop and test in various example cases. - Acoustics and Acoustical Devices; Waves, Behavioural and Cognitive Sciences, Signal Processing
- Master Thesis
| The goal of this project is to develop a real-time neural robot mapping framework. To this end, we explore the viability of pruning down the learned components to their bare minimum in order to simplify the representation and its required training time. - Knowledge Representation and Machine Learning, Mechanical and Industrial Engineering, Robotics and Mechatronics
- Master Thesis, Semester Project
| A Swiss distribution grid operator is enabling us to deploy a voltage controller in their distribution grid that supplies power to more than 100.000 people. This project first tests and tunes our controller on a model and then deploys the controller in the grid. In the end your work will control the voltage in a real distribution grid. - Electrical Engineering
- Master Thesis
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