The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies, energy and climate, health innovation and fundamentals of nature. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy. PSI is committed to the training of future generations. Therefore, about one quarter of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2200 people.
The X-ray tomography group operates state-of-the-art microtomographic instruments and focuses on the development of tools, both instrumentation and algorithms for tomographic X-ray imaging, exploiting latest synchrotron and laboratory technology. This project is carried out in close collaboration with machine learning researchers from the Swiss Data Science Center (SDSC Hub at PSI).
For a project within this framework we are looking for a
The underlying project is to develop 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.
- 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
- Collaborate with different domain experts (physicists, computational scientists, software developers, biologists)
- 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)
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.
For further information, please contact Prof. Dr Marco Stampanoni, phone +41 56 310 47 24.
Please submit your application online by 18 December 2022 (including addresses of at least two referees) for the position as a PhD Student (index no. 6111-02).
Paul Scherrer Institut, Human Resources Management, Alina Rao, 5232 Villigen PSI, Switzerland