University of Zurich

Open Opportunities

Probabilistic Finite Element Model of Functional Spine Units from Deep Learning Segmented Images ETH Zurich Snedeker Group / Laboratory for Orthopaedic Biomechanics Our project at the Orthopedic Biomechanics group in Balgrist Campus in collaboration with Uniklinik Balgrist aims to augment the preoperative imaging data on which a surgeon can rely. This problem is addressed with the development of an adaptable pipeline that can automatically extract features on clinical data of healthy and pathological vertebrae, based on machine learning techniques. These features will be used in different simulation environments like Finite Element models and Multibody Dynamic models to provide information about different surgical procedures. Engineering and Technology, Medical and Health Sciences Master Thesis, Semester Project

Cardiac Magnetic Resonance Image Reconstruction Using Machine Learning ETH Zurich Cardiovascular Magnetic Resonance Dynamic Magnetic Resonance (MR) imaging offers exquisite views of cardiac anatomy and function. The objective of this project is to develop and implement methods that allow learning a data model from large sets of training data to be used in nonlinear data recovery from highly undersampled MR data. Artificial Intelligence and Signal and Image Processing, Medical and Health Sciences Bachelor Thesis, Master Thesis, Semester Project

Characterizing the heterogeneity of the blood-brain barrier using a transcriptomics approach University of Zurich Department of Neurosurgery One major obstacle for effective treatment of e.g. neurological diseases is delivery of therapeutics into brain parenchyma. Characterizing the properties of the brain vasculature`s tight barrier lining (blood-brain barrier) can help to pave the way to improved drug delivery. Neurobiology, Neurosciences Lab Practice, Master Thesis

Development of Automatized Finite Element Models for Instrumented Spine Simulations. ETH Zurich Snedeker Group / Laboratory for Orthopaedic Biomechanics Implementation of different surgical interventions, such as posterior instrumentation and cage placement into an automatic FE-Element pipeline, for functional outcome prediction. Engineering and Technology, Medical and Health Sciences Internship, Master Thesis, Semester Project

Teilnehmer an wiss. Schlafstudie gesucht University of Zurich University Hospital Zurich Im Rahmen der Studie sollen die Auswirkungen der Schlaftiefe während Schlafrestriktion (7 Nächte 5h Schlaf pro Nacht) auf das Entscheidungsverhalten und die geistige Leistungsfähigkeit untersucht werden. Die Durchführung findet je nach Kapazität im Schlaflabor der Klinik für Neurologie am Universitä Central Nervous System Other specific labels

Learn Depth from Multiple Input Modalities University of Zurich Robotics and Perception Learn depth from RGB frames and sparse depth information. Computer Vision, Neural Networks, Genetic Alogrithms and Fuzzy Logic Master Thesis, Semester Project

Combining Calcium Imaging and fMRI: Understanding the Neurophysiology of the Blood Oxygen Level Dependent Response ETH Zurich Institute of Neuroinformatics Advances in MR technology are rapidly increasing our imaging capabilities, however we still don't know what the BOLD signal actually represents. In the lab we try to gain a better understanding of the properties of brain circuits to increase the capabilities of fMRI. Behavioural and Cognitive Sciences, Biology, Engineering and Technology, Mathematical Sciences, Physics Bachelor Thesis, Internship, Master Thesis, Semester Project

Super paramagnetic manipulation of nanowires for engineered strain sensors used in biomedical implants ETH Zurich Biosensors and Bioelectronics (LBB) Fabrication of biocompatible strain sensors, resistive or capacitive to be used in-vivo to measure deformation of different tissues. The project is quite broad so many backgrounds will suit. Electrical Engineers, Material Scientist, Biomedical Engineers, among others. Chemistry, Engineering and Technology, Medical and Health Sciences Bachelor Thesis, Internship, Lab Practice, Master Thesis, Semester Project

Building of a binary machine learning classifier for radiographic images using the Google Seedbank platform University of Zurich Institute of Evolutionary Medicine Potential applications for predictive models providing a binary classification based on radiographic images are manifold. A modular machine learning application that can be trained with different radiographic data sets without any programming skills would, therefore, be desirable. Knowledge Representation and Machine Learning, Radiology and Organ Imaging Bachelor Thesis, Collaboration, Internship, Semester Project, Student Assistant / HiWi, Summer School

Analyzing The Role of Perception Latency in High Speed Sense and Avoid University of Zurich Robotics and Perception To prevent a collision with an obstacle or an incoming object, a robot needs to detect them as fast as possible and execute a safe maneuver to avoid them. The higher the relative speed between the robot and the object, the more critical the role of perception latency becomes. The goal of this project is to extend our previous work (http://rpg.ifi.uzh.ch/docs/RAL19_Falanga.pdf) on the analysis of the role of perception latency in high speed sense and avoid, in order to consider different robot dynamics and multiple scenarios, such as cases including dynamic obstacles. Engineering and Technology Master Thesis