ETH Zürich

Doctoral Position in sparse reconstruction of virtual histology images

📍 Zurich

Role and responsibilities

Collection of grating interferometry X-ray phase contrast microCT data of breast tissue biopsies Setup of data pipelines for synchrotron and laboratory microCT scans of soft tissue Develop algorithms for reconstruction of virtual histopathology images from sparse phase-contrast CT acquisitions of oncological specimens Comparison with standard histology and assessment of algorithm performance Present results at international conferences as well as internal workshops Summarize your results in scientific publications Support the professorship in teaching activities

Team / description

The X-ray Imaging Professorship develops advanced imaging techniques at the synchrotron and strives at the translation of novel imaging approaches to medical devices in a multidisciplinary effort involving academia, industry and medical partners. 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 matter and materials, energy and environment and human health. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy.

Qualifications and Skills

  • Excellent qualifications with a university degree (Master or equivalent) in physics, engineering or computer science

  • Proficiency in computer vision and machine learning with Python

  • Knowledge of X-ray physics and laboratory experience in imaging would be a benefit

  • Highly self-motivated, curious and committed character

  • Well organized

  • Willingness to conduct research in a multidisciplinary team

  • Excellent communication skills in English (written and spoken)