Max Planck ETH Center for Learning SystemsAcronym | 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 OpportunitiesSum-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 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
| We are developing a teleoperated micro-assembly system. A core component is a force-sensitive micro-gripper. A first gripper prototype has been realized and evaluated. Your task will be to review and improve the current design and to implement automated object slippage detection. - Mechanical and Industrial Engineering, Robotics and Mechatronics
- Master Thesis
| In many autonomous navigation applications, the robot must interact with the environment to learn and complete tasks. Furthermore, these applications are safety-critical, and crashes cannot be afforded. This necessitates the safe learning of the unknown environment in order to achieve the task objective (e.g., detecting a leak or mapping an area). For example, consider an application of safe exploration in a warehouse with a wheeled robot to identify the source of a gas leak. - Mechanical Engineering
- Master Thesis
| Join a team of scientists improving the long-term prognosis and treatment of Spinal Cord Injury (SCI) through mobile and wearable systems and personalized health monitoring.
Joining the SCAI Lab part of the Sensory-Motor Systems Lab at ETH, you will have the unique opportunity of working at one of the largest and most prestigious health providers in Switzerland: Swiss Paraplegic Center (SPZ) in Nottwil (LU). - Artificial Intelligence and Signal and Image Processing, Computer Software, Data Format, Information Systems
- ETH Zurich (ETHZ), Internship, Lab Practice, Student Assistant / HiWi
| The stochastic diffusion equations ruling the dynamics of particles at the micro- and nano- scale are captured by energy-minimizing dynamics when observed macroscopically, i.e., at a population level. This framework encompasses, for instance, single cells perturbation responses to chemical, genetic or mechanical stimuli, gene expression and cell differentiation.
Recent advances in the theory of optimal transport and optimization in the Wasserstein space have created unprecedented opportunities to tackle these and other problems at scale. This active research area provides an excellent playground for exploring advanced mathematical concepts, deploying sophisticated learning and optimization algorithms, and solving open problems in biology, medicine, and various other fields.
The project can be both theoretical and applied, and can include topics on optimization, optimal transport, deep learning, and biology. The project can be tailored to the preferences and experiences of the student. - Artificial Intelligence and Signal and Image Processing, Biomaterials, Calculus of Variations and Control Theory, Optimisation, Physical Chemistry
- Master Thesis, Semester Project
| Adherence to rehabilitation therapy is crucial for the recovery of hand functionality in stroke and traumatic brain injury (TBI) patients. However, sustaining patient motivation to train at home remains a challenge. This project aims to explore the impact of push notifications on adherence to physical therapy among stroke and TBI patients. By investigating the optimal frequency and content of notifications, the goal is to develop a notification/reminder system that fosters continuous engagement with the rehabilitation plan, ultimately promoting increased therapy and better functional outcomes for patients. - Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- Internship, Master Thesis, Student Assistant / HiWi, Summer School
| Improving and characterizing hardware system to experimentally investigate the interactions of tachycardia and ration therapy. - Biomedical Engineering
- Semester Project
| In this project, we will investigate how the productivity level of a global supply chain is impacted by local interaction structures and decision-making dynamics via mathematical analysis and simulation. We will extend existing models on the two-player supply chain game to multi-player supply chains with non-trivial connectivity structures modeled via graph theory, and investigate various player dynamics (e.g. consensus, best response, gradient descent) in combination with different interconnection structures(e.g. trees, small-world network, star) to study the stability of the overall supply chain. - Engineering and Technology, Operations Research, Optimisation, Systems Theory and Control
- Master Thesis
| 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 Zurich (ETHZ), Internship, Master Thesis
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