PhD Student - Development and application of deep learning-based super-resolution X-ray imaging

90%-100%, Zurich, fixed-term

With his team, Marco Stampanoni is working on novel X-​ray based instruments and methods for non-​invasive investigations of samples at various length scales, ranging from single cells up to humans. The group mainly develops around cutting-​edge synchrotron facilities and translates the novel technologies on conventional X-​ray sources. Research areas encompass phase contrast X-​ray imaging and microscopy, realtime tomographic microimaging, nano-​tomography and novel radiological methods for clinical applications and, more general, non-​destructive testing. The professorship is affiliated with the Paul Scherrer Institute (PSI), the largest research institute for natural and engineering sciences within Switzerland. 

Project background

This PhD  project is carried out in close collaboration with machine learning researchers from the Swiss Data Science Center (SDSC Hub at PSI) and aims at developing  a fundamentally different approach in X-ray imaging with the aim to improve the imaging resolution, and hence both diagnostics and survival in lung diseases.

Job description

• You will implement novel concepts to model and train the physics behind image formation of thoracic CT
• Apply deep learning techniques and regression methods to enable super resolution imaging and big data processing beyond state-of-the-art
• Conceive an AI framework for pushing the diagnostic power of CT imaging
• You will collaborate with different domain experts (physicists, computational scientists, software developers, biologist

Your profile

• Master degree in Physics/Mathematics, Electrical Engineering, CS or similar
• Solid programming skills (C/C++, Matlab, Python or similar)
• Knowledge in physics (wave optics), algebra, data structures, data processing
• You enjoy working in a multi-cultural and interdisciplinary team
• Excellent communication skills in English (written and spoken)

Your workplace

Your workplace

We offer

Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure.

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Curious? So are we.

We look forward to receiving your online application (including the addresses of at least two referees) by 18 December 2022 for the position as a PhD Student (index no. 6111-02).

Please apply online

For further information, please contact Prof. Dr Marco Stampanoni  at ETH Zurich or Dr. Goran Lovric  at PSI.

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.