 ETH Zurich| Acronym | ETHZ | | Homepage | http://www.ethz.ch/ | | Country | Switzerland | | ZIP, City | | | Address | | | Phone | | | Type | Academy | | Current organization | ETH Zurich | | Child organizations | | | Members | | | Memberships | | | Partners | |
Open OpportunitiesInjuries to the soft tissues of weight-bearing joints can lead to post-traumatic osteoarthritis (OA), a debilitating, degenerative joint disease affecting about 57 million people in Western Europe alone (~14%). These injuries ultimately result in functional impairment and loss of independence of many athletes and the elderly, representing an immense burden to patients as well as society. The main repair therapies used in clinics to date include: 1) bone marrow stimulation, 2) osteochondral (OC) plug transplantation from a non-weight-bearing site of the joint, and 3) matrix-assisted autologous chondrocyte implantation. Clinical outcomes after these treatments, however, show deterioration of the cartilage 5-10 years post-surgery, ultimately leading to total joint replacement (TJR). It is, therefore, imperative to develop strategies to successfully treat small articular lesions and prevent their progression towards OA.
Tissue engineering has the potential to regenerate joint tissue to its native form and therefore preserve joint function. To this end, the Tissue Engineering and Biofabrication (TEB) laboratory has developed osteochondral grafts to treat articular lesions. These grafts comprise a bone ceramic with interlocking pores onto which a cartilage layer could be cast. Importantly, a novel hydrogel formulation allowed us to regenerate hyaline cartilage matching native tissue-like properties. To further advance this project, novel strategies to improve the stability of the cartilage-bone junction need to be developed. New interlocking designs will be developed with our collaborators from the University of Sydney. Therefore, this project aims to evaluate these designs' impact on cartilage-bone bonding. Establishing an improved cartilage-bone interface will significantly contribute to the success of these osteochondral grafts.
- Biomaterials
- Internship, Master Thesis
| This project focuses on utilizing an advanced approach to time series modeling for efficient event data processing. - Artificial Intelligence and Signal and Image Processing
- Master Thesis
| Different levels of Demand side management exist, which each different levels of knowledge about the demand side and possibilities to interact. This Master Thesis will investigate the impact and benefits of different interacation levels of the Smart Grid ready framework. - Electrical and Electronic Engineering, Interdisciplinary Engineering, Mechanical and Industrial Engineering
- Master Thesis
| This project explores new techniques to enhance Optical Flow Estimation in the context of Event-Based Vision. - Artificial Intelligence and Signal and Image Processing
- Master Thesis, Semester Project
| This project focuses on utilizing multi-purpose vision models in the realm of Event-Based Vision. - Artificial Intelligence and Signal and Image Processing
- Master Thesis
| Despite covering over a third of the total global land area, forests are not well studied. Under the looming threat of climate change, understanding our natural habitats is more important than ever. To enable robotic exploration for environmental monitoring, robust robotic locomotion in these challenging environments is necessary. - Electrical Engineering, Materials Engineering, Mechanical Engineering, Robotics and Mechatronics
- Master Thesis
| The Institute of Technology Management (Prof. Dr. Felix Wortmann, Prof. Dr. Elgar Fleisch) at the University of St. Gallen is looking for: Research Assistant and PhD Student «Analytics and AI to Foster Learning». Learning that is based on or supported by online platforms has become commonplace around the globe, particularly accelerated through the COVID-19 pandemic. Thereby, current learning platforms generate vast amounts of data for functional, technical, and legal reasons. These insights can serve to automatically intervene in the learning process by setting learning goals, monitoring progress, selecting learning strategies, and adjusting behavior in order to ultimately improve learning outcomes. Considering these developments, we are looking for a personality with a strong will to create a meaningful impact. Are you eager to investigate how analytics and AI can be used to analyze data from students' interactions with learning materials and activities to gather insights into their learning strategies, strengths, and weaknesses? Are you keen on using analytics and explainable ML to deploy adaptive learning systems that can provide personalized feedback and guidance to students, helping them to set and achieve their learning goals? We are looking for you! - Education, Engineering and Technology
- PhD Placement
| The BRIO labyrinth is a game whose ultimate goal is to steer a steel ball from a given start point to the end point. In doing so, the player must prevent the ball from falling down any of the holes that are present on the labyrinth board. The movement of the ball can be indirectly controlled by two knobs which change the orientation of the board.
While it is a relatively straightforward game, it requires fine motor skills and spatial reasoning abilities. Additionally, from experience, humans require a great amount of practice to become proficient at the game. Due to these reasons, we believe that the labyrinth is an excellent system to study varying aspects of learning in robotics, where to goal is to build a system that learns to autonomously solve the labyrinth.
Suitable projects in different areas are available for talented and motivated students. The project topics span model-based control, reinforcement learning, computer vision, and hardware design.
- Computer Vision, Intelligent Robotics, Mechanical Engineering
- Master Thesis, Semester Project
| Multi-objective discrete optimization schemes have demonstrated their effectiveness in automatically generating UI layouts for virtual and augmented reality desks [1,2]. However, the quality of the solutions heavily relies on the weighting assigned to different objectives. In this thesis, our objective is to discover an optimal combination of weights that accurately captures the requirements and preferences of an individual user during a single session. To achieve this, we propose incorporating user adjustments of an initially generated UI as feedback to inform the weight updates. By doing so, our aim is to personalize mixed-reality desks with minimal user input, streamlining the customization process. - Computer-Human Interaction, Virtual Reality and Related Simulation
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis
| We seek a motivated candidate interested in fluid mechanics and proficient in CAD (preferably Solid Works), to design table-top fluid mechanics experiments: one water chamber to study the settling/rising of heavy/light particles, and one gravity-driven turbidity current. Both of these are relevant to microplastic pollution in the environment. - Engineering and Technology
- Student Assistant / HiWi
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