Open Post-doctoral Position I

Biomedical Imaging Computing (BMIC) group at ETH Zurich is looking for a post-doctoral researcher for a project funded by Personalized Health Related Technologies and Swiss Personalized Health Network.

The main goal of the project is to assess the effect of variations in image acquisition parameters on imaging features extracted from Computed Tomography images. Understanding and controlling for this variation is essential for translation of automatic algorithms, including "radiomics" and machine-learning methods to clinical practice. The project is part of a large-scale collaboration including academic and clinical partners.

Successful candidate should have

Programming knowledge in Python and/or C++, and advanced mathematical skills are essential. Experience in image analysis and machine learning is preferred.

The position is available from September 1, 2019 and the duration is 15 months - fixed by the duration of the project. Extensions are subject to availability of additional funding. The post-doctoral researcher will be a part of the BMIC group as well as the Computer Vision Laboratory at ETH Zurich.

Your application package should include

If you are interested, please send your application to Ender Konukoglu via email ( with the title "Post-doc application for CT Feature Variability".