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We are looking for a highly motivated MSc student in computer science to help us developing a fully functional research prototype for Mueller polarimetric imaging (MPI) system to be employed on human tissues for surgical analyses, feedback and visualisations. The development will be supervised by PD Dr. Richard McKinley, in strong collaboration with the NVIDIA Holoscan Team.
This is a unique internship opportunity to bridge the gap between academia and industry within a fully translational research project in collaboration with Inselspital and University of Bern. - Information, Computing and Communication Sciences
- Internship, Semester Project
| For this master thesis project we intend to address the important requirement for fast acquisition time by targeting a real-time system. For that, your main task will be to build a replica instrument based on an existing IMP system under the guidance of experts in polarimetry. - Optics and Opto-electronic Physics
- Internship, Master Thesis, Student Assistant / HiWi
| Lumbar intervertebral disc degeneration (LDD) is estimated to affect 400M individuals worldwide annually, which causes pain and disability for the patients affected by it [1]. Continuous localized, and structural degeneration on multiple intervertebral disc (IVD) levels can progress to accumulated macroscopic deformities, manifesting in abnormal spinal curvatures, also known as Adult Spinal Deformities (ASD). LDD and spinal alignment are hypothesized to be closely interrelated, with specific alignment parameters showing mutual correlations with the degree of LDD [2].
Through analyzing longitudinal data - including X-ray-derived biplanar alignment parameters and MRI-based Pfirrmann grading - this study aims to identify extensive patterns between alignment characteristics and the individual degenerative state of lumbar IVDs. Such insights could improve our understanding of degenerative cascades and influence decision making in clinical treatment approaches by identifying alignment profiles at higher risk for degeneration. The proposed study includes a clinical cohort of degenerative lumbar back pain patients who were treated conservatively, and followed up over a period of 3-5 years, before eventually undergoing surgery at Schulthess Clinic Zurich.
This project is jointly supervised by an interdisciplinary group of researchers and clinicians of ETH Zurich and Schulthess clinic Zurich, which offers insights into fundamental spinal research, as well as daily clinical practice. Your tasks will include data annotation, model development, and collaborative discussions of results, providing a comprehensive experience in interdisciplinary research. This project offers an excellent opportunity to engage in impactful research at the intersection of biomechanics, clinical practice, and data-driven modeling.
- Biomedical Engineering, Clinical Sciences, Interdisciplinary Engineering
- Bachelor Thesis, ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
| Global warming induces emissions changes in global ecosystems, for example changes to marine algal blooms, emerging terrestrial vegetation, increasing glacial dust or fires. At the same time human activities in the cryosphere cause emissions from traffic, domestic activities and animal herding. All these emissions change the composition of the atmosphere.
The main task of this project will be to analyse mass spectrometry data from Greenland or the Jungfraujoch, to understand the complex puzzle of atmospheric aerosol sources.
You will have the option to analyse aerosol filter samples in the lab, collected during different (ongoing) campaigns, like the GreenFjord project's atmospheric cluster in Greenland (https://greenfjord-project.ch/).
This work will be carried out at and with the team of the Laboratory of Atmospheric Chemistry at PSI, Switzerland. - Analytical Chemistry, Environmental Chemistry (incl. Atmospheric Chemistry)
- Internship, Lab Practice, Master Thesis
| This project leverages spiking neural networks (SNNs) and event cameras to create a real-time system for detecting fast-moving objects with high efficiency and minimal latency. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| This project develops a hybrid framework combining the high spatial detail of image-based neural networks with the high temporal resolution of event camera data to achieve accurate, low-latency visual perception. It targets real-time tasks like semantic segmentation and object detection, addressing challenges such as open-vocabulary recognition for dynamic and adaptive applications. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| This project enhances vision-based drone racing by integrating neural rendering and advanced data augmentation techniques to improve policy generalization and robustness in unseen environments. It focuses on developing methods to strengthen gate detection accuracy and overall perception for autonomous drone navigation in dynamic scenarios. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| In powder bed-based additive manufacturing, the feed rate during recoating determines the amount of powder distributed to maintain a uniform layer across the build platform. An optimal feed rate ensures a consistent powder bed while minimizing material waste and ensuring process stability. Traditional approaches often use a static feed rate, which may lead to inconsistencies in layer thickness or material overflow, especially for geometries with complex scanning patterns or varying powder requirements. - Engineering and Technology, Information, Computing and Communication Sciences, Physics
- Bachelor Thesis, Master Thesis, Semester Project
| This project aims to develop a sophisticated Reinforcement Learning (RL) environment to train autonomous drones for efficient disaster response operations. By leveraging insights from drone racing research, the project will focus on creating a highly realistic 3D simulation environment.
- Intelligent Robotics, Robotics and Mechatronics
- Master Thesis, Semester Project
| This project seeks to leverage the sparse nature of events to accelerate the training of radiance fields. - Computer Vision
- Master Thesis, Semester Project
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