The Bioimaging group of the Institute for Biomedical Engineering at the University of Zurich and ETH Zurich develops Magnetic Resonance technology and methods. UZH and ETH Zurich offer an international and world-leading research setting with first class infrastructure including the full range of clinical and experimental Magnetic Resonance systems as well as an excellent network of scientific and industrial partners.
The research position concerns application of advanced machine learning methods to improve detection and diagnosis of various brain diseases, in particular stroke, using large available databases of Magnetic Resonance (MR) and Computer Tomography (CT) images. In particular, the present work will focus on generating synthetic training data using variational auto-encoders (VAEs) and generative adversial networks (GANs).
The candidate holds a first-class PhD degree in computer science, physics, mathematics, electrical engineering or biomedical engineering. He/she should present with excellent programming skills (Python / C(++) / Matlab) and interest in medical images analysis. An innovative spirit and team player skills round off the profile.
We look forward to receiving your online application including a cover letter, a detailed CV and contact information of two referees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
For further information about the position and the research please contact PD Dr Christian Federau by e-mail: firstname.lastname@example.org (no applications).
|Titel||PostDoc in Machine Learning in Brain Imaging|
|Job location||Rämistrasse 101, 8006 Zurich|
|Publicerad||december 10, 2019|
|Ämnen||Biomedicinsk teknik,   Medicinsk bildbehandling,   Tillämpad matematik,   Medicinsk fysik,   Elektroteknik,   Maskininlärning  |