University of Zurich

Open Opportunities

In-silico cardiac and cardiovascular modelling with physics informed neural networks ETH Zurich Cardiovascular Magnetic Resonance The aim of the project is to investigate the benefits, requirements and drawbacks of physics informed neural networks in the context of personalised cardiac and cardiovascular models Biomechanical Engineering, Clinical Engineering, Computation Theory and Mathematics, Fluidization and Fluid Mechanics, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Simulation and Modelling Master Thesis

Deep-learning based generation of synthetic cardiac phantoms for healthy and pathological anatomy and function ETH Zurich Cardiovascular Magnetic Resonance The project focuses on the development of a synthetic numerical phantom for cardiac anatomy and function suitable for representing population variability. Biomechanical Engineering, Information, Computing and Communication Sciences Master Thesis

Investigating synaptogenesis in iPSC-derived neurons from ADHD patients after Methylphenidate treatment University of Zurich Neurobiochemisches Labor Other organizations: Translational Molecular Psychiatry Our lab is looking for a highly motivated Bachelor/Master student, who is interested to conduct a research in the field of disease modeling using ADHD patient-specific cells. The process will involve learning how to generate and culture human induced pluripotent stem cells (iPSCs) and generation of neural stem cells (NSCs) from patients with Attention-Deficit Hyperactivity Disorder (ADHD), as well as how to scientifically interpret and discuss scientific papers and conduct research with independence and critical thinking. Biochemistry and Cell Biology, Neurosciences, Pharmacology and Pharmaceutical Sciences, Psychiatry Master Thesis

Investigation of the role of the Wnt signaling in the proliferation of ADHD-derived neural stem cells after Methylphenidate treatment University of Zurich Neurobiochemisches Labor Other organizations: Translational Molecular Psychiatry Our lab is looking for a highly motivated Bachelor/Master student, who is interested to conduct a research in the field of disease modeling using ADHD patient-specific cells. The process will involve learning how to generate and culture human induced pluripotent stem cells (iPSCs) and generation of neural stem cells (NSCs) from patients with Attention-Deficit Hyperactivity Disorder (ADHD), as well as how to scientifically interpret and discuss scientific papers and conduct research with independence and critical thinking. Biochemistry and Cell Biology, Neurosciences, Pharmacology and Pharmaceutical Sciences, Psychiatry Master Thesis

Proteomic investigation of BDNF and Wnt-Signalling after Methylphenidate and/or Omega-3 treatment in human iPSC-derived neural stem cells from ADHD patients University of Zurich Neurobiochemisches Labor Other organizations: Translational Molecular Psychiatry Our lab is looking for a highly motivated Master student (6-12 months), who is interested to conduct a research in the field of disease modeling using ADHD patient-specific cells. The process will involve learning how to generate and culture human induced pluripotent stem cells (iPSCs) and generation of neural stem cells (NSCs) from patients with Attention-Deficit Hyperactivity Disorder (ADHD), as well as how to scientifically interpret and discuss scientific papers and conduct research with independence and critical thinking. Biochemistry and Cell Biology, Neurosciences, Pharmacology and Pharmaceutical Sciences, Psychiatry Master Thesis

Teilnehmende für Studie gesucht! - Volunteers wanted for Study! University of Zurich Research in Orthopedic Computer Science (for English see below) Für eine Studie mit roboterassistiertem Ultraschall suchen wir gesunde Personen zwischen 18-35 Jahre. Es dürfen keine Verletzungen, chronische Beschwerden oder jegliche Art vergangener Therapien der lumbalen Wirbelsäule vorliegen. Die Studie findet am Balgrist Campus statt und dauert ca. 2.5-3h. Die Aufwandsentschädigung beträgt 25.-/h bzw. max. 75.- pro Proband. Bei Interesse bitte den QR-Code im Anhang (Deutsch/Englisch) scannen für die Registrierung. Vielen Dank für Ihre Teilnahme! ----------------------------------- We are seeking healthy individuals between the ages of 18-35 for a robotic assisted ultrasound study. There must be no injuries, chronic complaints or any kind of past therapies of the lumbar spine. The study will take place at the Balgrist Campus and will last approximately 2.5-3h. The expense allowance is 25.-/h or max. 75.- per subject. If interested, please scan the QR code in the attachment (German/English) for registration. Thank you for your participation! Medical and Health Sciences Other specific labels

PhD position in analog VLSI for designing memristor-based event-driven few-shot on-chip learning ETH Zurich Institute of Neuroinformatics We have one PhD position in the Emerging Intelligent Substrates lab for an exciting new project on designing event-driven few-shot learning algorithms and hardware implementations for intelligent edge applications. This is part of the recently accepted SNSF Starting Grant, “UNITE: Brain-inspired device-circuits-algorithm co-design for resource-constrained hardware on the edge”. The project will follow a co-design to take the best out of the worlds of memory devices, circuits and brain-inspired algorithm, by capitalizing on the following. - Access to BEOL-integrated resistive memory devices (OxRAM, FTJ, PCM) into 130 nm, and 28 nm technologies. - Our two recently proposed neuro-inspired hardware architectures based on (i) hardware-aware dendrites for fast and energy efficient feature detection [1], and small-world connectivity for fast information transfer and energy efficient information routing [2]. - Recent NeuroAI algorithms bridging machine learning and neuroscience for efficient on-device few-shot learning [3]. Electrical and Electronic Engineering ETH Zurich (ETHZ), PhD Placement

Efficient Learning-aided Visual Inertial Odometry University of Zurich Robotics and Perception Online learning-aided visual inertial odometry for robust state estimation Engineering and Technology Master Thesis

Improving Robotic Spinal Surgery Precision and Safety with Advanced Imaging Techniques University of Zurich Research in Orthopedic Computer Science Other organizations: Computer Vision and Geometry Group This project aims to improve the precision and safety of spinal surgeries by developing a new method for placing screws in the vertebrae. The current method uses an optical navigation system that helps surgeons visualize the patient's spine in real-time during the surgery, but there can be errors due to patient movement. To address this, a student will use advanced computer technologies like deep learning to segment the vertebrae from imaging data, allowing the preoperative image to be registered to the segmented vertebrae and eliminating any errors caused by patient movement. The developed method will be evaluated in future experiments to ensure it can improve the safety and accuracy of pedicle screw placement in spinal surgeries. Computer Vision Master Thesis, Semester Project

Developing Smart Vision Assistive Technology University of Zurich Robotics and Perception Developing Smart Vision Assistive Technology Engineering and Technology Master Thesis, Semester Project