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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
| 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
| 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
| Vestibular stimulation induced by rocking beds has been shown to improve sleep architecture and sleep consolidation, shorten sleep onset time, and generate deeper sleep. However, due to the complexity of previous rocking beds, rocking was only applied in lab settings for a few nights only. The Somnomat Casa developed at our lab is a rocking bed for use in private home settings over long periods that provides translational vestibular stimulation in longitudinal direction.
Our most recent Somnomat Casa is already very smooth and comfortable to use. However, we still see potential in improving the actuation of the bed. To arrive at an optimal motor choice, we now want to encapsulate the actuation unit of the bed and compare different motors using various metrics.
The goal of this project is the design and development of a simple testbench that accepts a motor + gear + clutch configuration and records metrics on applied torques, current consumption, smoothness of the motion, noise emission, torque response on dynamic loads, etc. - CAD/CAM Systems, Control Engineering, Electrical Engineering, Engineering/Technology Instrumentation, Mechanical Engineering, Robotics and Mechatronics, Safety and Quality
- Internship, Master Thesis, Semester Project
| The Bosch IoT Lab (Prof. Dr. Felix Wortmann, Prof. Dr. Oliver Gassmann) – 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 «Analytics and ML for Heat Pump Optimization».
Heat pumps play a significant role in the energy transition by extracting renewable energy from the air or ground. As of today, they are rapidly replacing fossil heating systems in buildings. However, in use, heat pumps often consume significantly more electricity than needed. Incorrect planning, installation, configuration, and operation can lead to dramatic inefficiencies that often go unnoticed.
In light of these challenges, we are looking for a personality with a strong will to create a meaningful impact. Are you eager to investigate how connected heat pump data can be leveraged to identify heat pump problems and optimization opportunities? Are you keen on developing analytics- and ML-based systems that constantly monitor heat pumps to ensure their efficient operation? We are looking for you! - Engineering and Technology, Software Engineering
- PhD Placement
| Instructing Immune System to Regenerate Musculoskeletal Tissues via Structurally Programmable Bio-Inks (ImmunoBioInks & Space ImmunoBioInks) - Biomedical Engineering, Macromolecular Chemistry, Physical Chemistry
- Internship
| Use advanced Synthetic Aperture Radar to observe and analyze the Great Aletsch Glacier
- Environmental Technologies
- Master Thesis
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