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Doctoral Position in sparse reconstruction of virtual histology images 100%, Zurich, fixed-term 15.09.2026 | PSI Center for Photon Science - Paul Scherrer Institute and Professorship for X-ray imaging, Institute for Biomedical Engineering

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Job Description

This doctoral position focuses on developing machine-learning-based sparse 3D image reconstruction for virtual histopathology using X-ray phase-contrast imaging. Key responsibilities include collecting data, setting up data pipelines, developing reconstruction algorithms, and comparing results with standard histology. Applicants need a Master's degree in physics, engineering, or computer science with strong Python proficiency in computer vision and machine learning.

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Key Responsibilities

  • As a valued member of our team, you can expect to receive comprehensive on-the-job training, as well as access to various personal and professional development opportunities.
  • 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.
  • You will contribute to the design and implementation of machine-learning-based sparse 3D image reconstruction modalities to be used for fast histopathological assessment of tumor biopsies with X-ray phase-contrast radiography and tomography.
  • As part of our multidisciplinary team of academic and clinical researchers, you will be involved in ongoing pilot studies at cantonal hospitals and have the chance to contribute directly to the improvement of clinical workflows and benefit cancer patients and health care professionals
  • Develop algorithms for reconstruction of virtual histopathology images from sparse phase-contrast CT acquisitions of oncological specimens
  • Support the professorship in teaching activities

Requirements

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

Benefits

  • We recognize the importance of achieving a healthy work-life balance, and as such, we offer modern employment conditions and on-site infrastructure to support you in optimizing your schedule to accommodate your personal interests and family commitments.

About This Position

Where is this position based?

The position is based at ETH Zurich (Swiss Federal Institute of Technology), in Zurich, CH. Check the job description above for flexible or hybrid arrangements.

How do I apply for this job?

Click the Apply button on this page — it takes you to ETH Zurich (Swiss Federal Institute of Technology)'s official application portal, where you submit your application directly to the university. Tenurify only aggregates the listing and never handles applications or charges candidates.