Summary
The Helmholtz Zentrum Hereon is offering a PhD position focused on developing novel deep learning approaches for phase-contrast synchrotron X-ray tomography at PETRA III in Hamburg. This position aims to enhance multiscale imaging in biological and materials science through advanced machine learning techniques.
PhD Position in Deep Learning for Phase-Contrast Synchrotron X-ray Tomography, Hamburg, Germany
Designation
PhD Candidate
| Category | Details |
|---|---|
| Research Area | Deep Learning, X-ray Tomography |
| Location | Hamburg, Germany |
| Eligibility/Qualification | Master’s degree in Physics, Mathematics, Computer Science, or related field |
| Application Deadline | April 23, 2026 |
Job Description
The PhD project is part of the ErUM-Data project CmarT, aiming to develop a multiscale imaging approach that captures relevant features at different length scales. Key tasks include:
- Developing physics-informed, self-supervised learning methods for phase retrieval.
- Implementing reconstruction algorithms on high-performance computing (HPC) clusters for large-scale hierarchical tomography.
- Collaborating with beamline scientists and project partners.
- Publishing and presenting results at international journals and conferences.
How to Apply
Interested candidates should submit their comprehensive application documents, including:
- Cover letter
- Curriculum Vitae
- Letters of reference
- Relevant certificates and transcripts (including grades)
Applications should reference job ID: 987 – 2026/WP 1 and be sent to the Helmholtz Zentrum Hereon.
Last Date for Apply
April 23, 2026
For additional information, visit Helmholtz Zentrum Hereon.
