Department of Health Sciences and Technology| Acronym | D-HEST | | Homepage | http://www.hest.ethz.ch/ | | Country | Switzerland | | ZIP, City | | | Address | | | Phone | | | Type | Academy | | Parent organization | ETH Zurich | | Current organization | Department of Health Sciences and Technology | | Child organizations | |
Open OpportunitiesThis project aims to develop a novel algorithm for tracking a person's health condition changes using daily life wearable sensor data, biosignals, and information from nearable sensors. With the Life-long-logging system, we want to provide meaningful data for medical staff and directly engage patients and their caregivers. - Engineering and Technology
- Bachelor Thesis, ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
| The StrongAge Dataset, collected over one year, provides a rich data repository from unobtrusive, contactless technologies combined with validated mood and cognition questionnaires. This project aims to uncover digital biomarkers that can transform elderly care, addressing critical research questions related to sleep, cognition, physical activity, and environmental influences. - Biomechanical Engineering, Signal Processing
- Bachelor Thesis, ETH Zurich (ETHZ), Internship, Lab Practice, Master Thesis, Semester Project, Student Assistant / HiWi
| This project explores the use of neuroevolution for optimizing control policies in legged robots, moving away from classical gradient-based methods like PPO. Neuroevolution directly optimizes network parameters and structures, potentially offering advantages in environments with sparse rewards, while requiring fewer hyperparameters to tune. By leveraging genetic algorithms and evolutionary strategies, the project aims to develop efficient controllers for complex locomotion tasks. With computational capabilities doubling approximately every two years as predicted by Moore's Law, neuroevolution offers a promising approach for scaling intelligent control systems. - Artificial Intelligence and Signal and Image Processing
- Master Thesis
| Imagine a robot that can intelligently interpret the world from above—looking at its immediate surroundings and predict how the terrain extends beyond its sensors. If the ground beneath its feet is muddy, it might infer that the meadows ahead will have a similar challenge, adjusting its path accordingly. To enable this kind of intelligent decision-making, robots need to recognize how local conditions propagate globally.
Machine learning techniques, particularly deep learning models, offer a way to automate this understanding by clustering satellite images based on visual and structural similarities. By leveraging large-scale satellite datasets, we can train models to detect regions that naturally group together based on appearance, geographic features, or correlated patterns of change.
[1] Gómez-Chova, L., Tuia, D., Moser, G. and Camps-Valls, G., 2015. Multimodal classification of remote sensing images: A review and future directions. Proceedings of the IEEE, 103(9), pp.1560-1584.
[2] https://ml-gis-service.com/index.php/2020/10/14/data-science-unsupervised-classification-of-satellite-images-with-k-means-algorithm/ - Intelligent Robotics
- Master Thesis, Semester Project
| Experimental neurobiology: cognitive-behavioural investigations using touch-screen platform. This would suit a wide variety of students interested in hands on behavioural neurobiology experience. - Biology, Central Nervous System, Health, Clinical and Counselling Psychology, Mental Health, Neurocognitive Patterns and Neural Networks
- Master Thesis
| We are seeking a candidate for a Ph.D. position aimed at advancing our understanding of how memories are interconnected and the mechanisms through which new information integrates with recently encoded memories. The goal is to elucidate the dynamic organization of memory throughout the lifespan, providing insights into fundamental cognitive functions. By investigating these processes, we aim to explore the broader implications for cognitive functions such as learning and decision-making.
Moreover, our research will examine how disruptions in these cognitive processes can increase susceptibility to neuropsychiatric disorders and contribute to maladaptive behaviors in animal models. Understanding these disruptions is essential for developing potential interventions and treatments for memory-related disorders. - Cellular Nervous System, Central Nervous System, Modeling and Simulation, Sensory Systems, Systems Biology and Networks
- PhD Placement
| We aim to explore a range of cognitive impairments associated with various psychiatric and metabolic disorders in mice. Our goal is to identify the critical neural pathway connecting the hypothalamus to subcortical areas, which plays a key role in certain cognitive deficits. This project seeks not only to deepen our comprehension of the brain's intricate operations but also to lay the groundwork for precise therapeutic approaches. We will employ advanced technologies, including optogenetics, fiber photometry, and behavioral assessments, to achieve these objectives.
- Computational Structural Biology, Neurosciences
- Master Thesis
| The goal of this project is to develop a flexible electronic system based on breathable hydrogel electrodes on everyday fabric substrates for myoelectric signal detection. - Biomaterials, Electrical Engineering, Flexible Manufacturing Systems
- Master Thesis, Semester Project
| The goal of the project is to synthesize and characterize a number of small molecules capable of acting as mechanophore addition to various polymers. These polymers would then be used as wearable strain or pressure sensors. - Chemical Engineering, Chemistry, Composite Materials
- Master Thesis
| The goal of the project is to develop a cheap and disposable sensor capable of determination of iodine levels in human urine for early diagnostic purposes. - Chemistry, Engineering and Technology, Medical and Health Sciences
- Master Thesis
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