ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice. The Bioimaging group of the Institute for Biomedical Engineering at the University and ETH Zurich develops Magnetic Resonance technology and methods. As part of our efforts to quantify and predict diseases of the brain we are seeking to fill a
PostDoc Position Machine Learning in Brain Imaging
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.