Publisher
source

ETH Zurich

Doctoral Position in Sparse Reconstruction of Virtual Histology Images in X-ray Imaging ETH Zurich in Switzerland

Degree Level

PhD

Field of study

Oncology

Funding

Available

Country flag

Country

Switzerland

University

ETH Zurich

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Keywords

Oncology
Computer Science
Biomedical Engineering
Medical Imaging
Biology
Computer Vision
Medical Science
Radiography
X-ray Imaging
Tomography
Biopsy
Physics
ML

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About this position

Doctoral position at ETH Zurich / Paul Scherrer Institute in sparse reconstruction of virtual histology images, with a strong focus on X-ray imaging, machine learning, computer vision, and phase-contrast tomography.

The project is part of the X-ray Imaging Professorship and the PSI Center for Photon Science. The successful candidate will work on translational X-ray imaging for oncological applications, contributing to fast histopathological assessment of tumor biopsies using sparse 3D reconstruction methods.

Research tasks include collecting grating interferometry X-ray phase-contrast microCT data of breast tissue biopsies, building data pipelines for synchrotron and laboratory microCT scans, developing algorithms for reconstruction of virtual histopathology images from sparse CT acquisitions, comparing results with standard histology, and presenting/publishing findings.

Eligibility highlights: Master’s degree or equivalent in physics, engineering, or computer science; strong Python skills; experience in computer vision and machine learning; X-ray physics and imaging lab experience are advantageous; excellent English and strong motivation for multidisciplinary research.

Funding details are not specified in the post, but this is a full-time fixed-term doctoral opening (100%) in Zurich, Switzerland.

Application materials: motivation letter, CV, publication list, transcripts, and ideally two reference letters. Applications must be submitted online via the ETH Zurich portal only.

Questions can be directed to Prof. Dr. Marco Stampanoni or Dr. Gianluca Lori.

Funding details

Available

What's required

Applicants should have a university degree at Master level or equivalent in physics, engineering, or computer science. Required skills include proficiency in computer vision and machine learning with Python. Knowledge of X-ray physics and laboratory imaging experience are beneficial. Candidates should be highly self-motivated, curious, committed, well organized, willing to work in a multidisciplinary team, and have excellent written and spoken English.

How to apply

Apply online through the ETH Zurich application portal only. Submit a motivation letter, CV, publication list, transcripts, and ideally two reference letters. Do not apply by email or postal mail.

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