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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 uprise of consumer-grade fitness trackers has opened the doors to long-term activity monitoring in the wild in research and clinics. However, Fitbit does not identify napping episodes shorter than 90 minutes. Hence, there is a need to establish a robust algorithm to detect naps. - Artificial Intelligence and Signal and Image Processing, Biomedical Engineering, Biosensor Technologies, Electrical and Electronic Engineering
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis
| ArtMal, established in 2020 by Manota Mphande, is a social enterprise focused on environmental and sustainability initiatives based in Malawi, Blantyre. The organization has carried out extensive cleanup efforts through the Mudi River Cleanup Project, where it collects various forms of waste. This initiative has inspired the repurposing of collected materials; for instance, cloth is transformed into school bags, while plastic waste is processed using Precious Plastic technology to create desks.
ArtMal engages individuals from the informal sector in collecting waste HDPE plastics, providing them with income and employment opportunities. The process involves sorting, washing, and shredding the plastic, which is then transformed into sheets using locally built Precious Plastic Machinery. These sheets are subsequently assembled onto frames to produce complete desks, contributing to both waste reduction and community development.
ArtMal has been actively engaged in the production and sale of high-quality plastic sheets for several months. As part of our operations, we routinely use HDPE bottles to streamline our processes. However, we are facing significant challenges with the cleaning of these bottles. The current cleaning method is proving to be inefficient, taking an excessive amount of time to ensure that each bottle is thoroughly cleaned and ready for reuse. This delay is impacting our production schedules and overall workflow, prompting us to seek more effective cleaning solutions to enhance efficiency and maintain our quality standards.
As the business continues to grow, ArtMal is seeking a skilled and dedicated engineering student to design a low-cost, easy-to-use, and effective cleaning technology for HDPE bottles that are subsequently shredded to produce plastic sheets. This role will focus on implementing more effective and quicker cleaning solutions to enhance efficiency and maintain our quality standards. - Environmental Engineering, Mechanical and Industrial Engineering
- ETH for Development (ETH4D) (ETHZ), Master Thesis
| Dark fermentation involves the hydrolysis and acidogenesis of carbon-rich substrates to produce hydrogen (energy) as the main product and volatile fatty acids (acetic acid, butyric acid and propionic acid) as byproducts. Reactor configuration is an important parameter that influences the production rate and yield. The Anaerobic Baffled Reactor (ABR) is a simple design with minimal costs and fosters the separation of different phases of the anaerobic process thus enhancing the resilience of the bacterial population to fluctuations of the organic loading rate. Additionally, the reactor can be designed in household modular settings and built underground to retain heat. The ABR has been evaluated for anaerobic digestion of high-strength wastewater (Sayedin et al., 2018, 2019) and to a lesser extent, for the anaerobic digestion of solid waste such as food waste. There are only a few studies on the use of ABR for dark fermentation (e.g. Jürgensen et al., 2015). Therefore, it is important to understand how ABR configuration can be modified for dark fermentation, particularly for processing solid waste. - Environmental Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis
| diaxxo, a start-up from ETH Zürich, is transforming molecular diagnostics with an innovative Point-of-Care Polymerase Chain Reaction (PCR) device.
This project aims to enhance the detection module of Diaxxo's Point-of-Care Polymerase Chain Reaction (PCR) system by improving light uniformity to ensure precise and reliable optical detection. The redesigned detection block will be compatible with Diaxxo's existing cartridges and support multiplexing with up to three distinct light channels. High light uniformity across the cartridge will be a key focus to enhance detection accuracy and reliability. Additionally, the project emphasizes cost-effective design, leveraging affordable materials and methods to maintain performance without increasing production costs.
- Biomechanical Engineering, Electrical Engineering, Mechanical Engineering, Optical and Photonic Systems, Optics and Opto-electronic Physics, Optometry
- Bachelor Thesis, Master Thesis, Semester Project
| This study investigates depth perception with virtual and real objects using video see-through (VST) and optical see-through (OST) head-mounted displays (HMDs). By comparing devices like Meta Quest 3, Pico 4, and HoloLens 2, the research explores how humans perceive spatial depth in mixed reality (MR) scenarios. Through Unity-based application development and user studies, the work evaluates depth perception differences and provides insights for advancing MR technology. - Virtual Reality and Related Simulation
- Bachelor Thesis, ETH Zurich (ETHZ), Semester Project
| The aim of this project is to develop and improve wearable electronics solutions for data acquisition from textile-based sensors used in our smart clothing. - Engineering and Technology, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| This project focuses on developing and implementing a method for registering 3D scans acquired by a depth camera mounted on the end-effector of a mobile construction robot that is capable of spray-based plaster printing-in-motion. The project has two main objectives. The first is to explore the most effective approach for registering multiple scans of a featureless object, specifically a sprayed wall in this case. The second objective is to optimize the robot's scanning trajectory to scan and reconstruct a designated Area of Work (AoW), taking into account various parameters such as the number of scans, the camera's field of view, etc..
- Intelligent Robotics
- Bachelor Thesis, Master Thesis, Semester Project
| The ability to manipulate micro-scale objects with precision is a growing field in biomedical engineering, particularly in the context of treating thrombotic conditions. Thrombolysis, the process of dissolving blood clots, remains a significant challenge in medical treatment, with current techniques often limited by their invasiveness and effectiveness. Recent advancements have explored the use of microrobots for targeted thrombolysis, leveraging their ability to maneuver in complex biological environments to enhance clot dissolution and drug delivery. Rotation plays a crucial role in various natural processes, including feeding and locomotion, demonstrating its effectiveness in achieving complex interactions with the environment. However, achieving ultrafast rotation in artificial microrobots presents significant engineering challenges. Traditional methods of inducing rotation, such as acoustic manipulation, have shown promise but are often constrained by limitations in rotational speed and control precision. These constraints hinder the microrobot's ability to effectively engage with functions.
In response to these challenges, we introduce an innovative solution: an untethered ultrafast-rotating spiral microrobot designed for physical thrombolysis. This microrobot employs a symmetric spiral structure that generates a consistent torque while maintaining a zero net force, allowing for sustained high-speed rotation. The unique design of the spiral structure ensures efficient rotational motion, overcoming previous limitations in rotation speed. A key feature of our microrobot is its sharp-tip design, which enhances its ability to penetrate and mechanically disrupt thrombi. This mechanical drilling action facilitates the breakdown of clots, making thrombolysis more effective. Additionally, the microrobot incorporates a drug-holding cavity, enabling it to deliver therapeutic agents directly to the site of the thrombus. This dual functionality—mechanical disruption combined with targeted drug delivery—promises a more efficient approach to thrombolysis. This ultrafast-rotating microrobot represents a significant advancement in microrobot design and its application in medical treatments.
- Engineering and Technology
- Master Thesis
| The manipulation of materials and fluids through acoustic streaming has emerged as a powerful technique with applications in manufacturing and biomedical engineering. This method utilizes sound waves to control the movement of particles within a fluid, offering precise and non-invasive manipulation. However, achieving freeform path manipulation—guiding materials along complex, non-linear trajectories—remains a significant challenge due to difficulties in controlling the influence range and vortex dynamics of acoustic streaming. Traditional methods often struggle with maintaining precision and stability along intricate paths, as the non-uniform distribution of acoustic forces complicates consistent directionality. Artificial Intelligence (AI) presents a promising solution, enabling real-time control and optimization of these systems. By integrating AI with acoustic streaming, algorithms can analyze and predict the interactions between acoustic forces and fluid dynamics, allowing for dynamic adjustments that enhance accuracy.
In this thesis, we propose addressing these challenges by implementing a pillar array of acoustic actuators coupled with AI-driven control systems. The pillar array will generate and modulate acoustic streaming fields, while AI will optimize and automate their control in real time. This integration aims to improve the precision of freeform path manipulation, facilitating the creation of complex patterns that are otherwise difficult to achieve, thereby expanding the possibilities for material manipulation across various applications.
- Engineering and Technology
- Master Thesis
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