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The interest in material platforms formed by hydrogels in direct contact with tissues or cells has continued to grow in biomedical engineering technologies due to their simple implementation and robust properties. However, even with increased interest in these systems little is known about how these material systems integrate into tissues and if they can be utilized to augment human tissues to treat disease or reverse tissue damage. This project aims to increase our understanding of the changes to tissues that occur upon addition of hydrogel systems and identify formulations that can be further investigated to solve clinical needs and improve patient care. - Biomedical Engineering, Chemical Engineering, Materials Engineering
- Master Thesis, Semester Project
| We aim to develop a machine-learning model that assesses heart activity and extract cardiac signal from a smartphone camera. - Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
- Bachelor Thesis, Master Thesis
| Using a existing Discrete element method implementation, the process of recoating in laser powder bed fusion is to be simulated and compared to experimental results. - Computer Software, Mechanical and Industrial Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| Using state-state-of-the art deep learning models, we will analyse early embryo development with the goal to understand the principles of self-organisation. - Cell Development (incl. Cell Division and Apoptosis), Computational Biology and Bioinformatics, Image Processing, Neural Networks, Genetic Alogrithms and Fuzzy Logic
- Semester Project
| We want to analyze sweat biomarkers collected via smartphone from subjects at rest and after exercise. - Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
- Bachelor Thesis, Master Thesis
| We want to analyze biomedical signals collected from subjects with induced anxiety using a portable device. We aim to detect instantaneous anxiety and mood changes via portable devices. The data were already collected and ready to be analyzed. The data description is here: https://www.mdpi.com/2306-5729/7/9/132
- Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
- Bachelor Thesis, Master Thesis
| How do we design differentiable methods for full-body pose estimation from sparse sensors to create physically plausible results?
- Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| Currently, more than 2.6 billion people lack access to safe and affordable sanitation (SDG6). Flush toilets connect to sewer systems consume scarce water resources, are expensive, and are difficult to install in densely populated areas. There are alternatives that do not rely on water, but these technologies are also not suited for populations that use water, instead of paper, for anal cleansing. Akyas, a social enterprise, has developed a novel prototype that allows for the separation of excreta and ablution water; this prototype is in the early stages of development and requires both pilot and community testing. The goal of this project is to refine the current prototype, test it with artificial excreta, engage with manufacturers for production, and test the first product with actual users (most likely in Bangladesh). - Engineering and Technology
- Master Thesis
| The Bosch IoT Lab (Prof. Dr. Oliver Gassmann, Prof. Dr. Felix Wortmann) – a joint initiative of the Institute of Technology Management at the University of St. Gallen, the Department of Management, Technology, and Economics at ETH Zurich, and the Bosch Group – is looking for: Research Assistant and PhD Student «Digital Strategy for the IoT and AI.
The Internet of Things (IoT) with its smart, connected products is having a disruptive impact on product companies. In essence, the convergence of the IoT and artificial intelligence (AI) is fundamentally changing the way they create and capture value. To leverage the potential of the IoT and AI, product companies develop digital strategies that outline how an organization uses these technologies to capitalize on their potential.
In light of these developments, we are looking for a personality with a strong will to create a meaningful impact. Are you eager to investigate how product companies develop and implement their digital strategies? Are you keen on understanding what fundamental megatrends and opportunities they address and what key measures they consequently implement? We are looking for you! - Economics, Engineering and Technology
- PhD Placement
| Rhythmic Movement Disorder (RMD) is a condition characterized by repetitive movements, such as rocking or head-banging, that typically occur during sleep or drowsiness. These movements can cause significant disruptions to sleep, as well as physical injuries. Conventional treatments for RMD include behavioral therapy, medications, and improving sleep hygiene. Novel treatment approaches also suggest the use of stimulus substitution, e.g., from a hammock or rocking bed such as the Somnomat Casa (developed at the Sensory-Motor Systems Lab).
Despite the prevalence and impact of RMD, there is currently a lack of research on effective methods for quantifying and monitoring the severity of the disorder.
In this project, we want to develop and validate a system for quantifying RMD movements using one or more body-mounted IMU sensors. The goal is to provide a reliable and objective measure of RMD episodes, which can be used to quantify the disorder and monitor the effectiveness of potential treatments. - Biosensor Technologies, Clinical Engineering, Engineering/Technology Instrumentation, Paediatrics, Rehabilitation Engineering, Sensory Systems, Therapies and Therapeutic Technology
- Bachelor Thesis, Internship, Master Thesis, Semester Project
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