Postdoc: Computational Imaging for 4D Grain Reconstruction

CNRS; France; On-site; EUR 42,000 - 56,000; Full time

Job summary

CNRS at ESRF invites applicants for a First Stage Researcher position in Materials Engineering. You will develop a unified reconstruction framework to extract lattice orientation and elastic strain from high-end X-ray imaging data, extending existing codes to new beam configurations.

The role demands experience in image processing, tomographic reconstruction, and inverse problems, with strong Python and MATLAB skills, and the ability to work across institutes in an international setting.

Qualifications

• PhD in physics, computational imaging, applied mathematics, or a related field.
• Experience in image processing, tomographic reconstruction, and inverse problems.
• Knowledge of crystallography and X-ray or electron diffraction.
• Programming skills in Python and MATLAB.
• Ability to work within a multidisciplinary team across multiple institutes and fluent in English.

Responsibilities

• Develop a unified reconstruction framework for 3D lattice orientation and elastic strain imaging from MTt data.
• Implement a forward model based on kinematic diffraction for monochromatic and pink-beam configurations.
• Design and validate a 6D reconstruction scheme (2D orientation, 1D strain) across modalities.
• Validate reconstructions against near-field DCT/TT, 3DXRD, and DFXM data.
• Release code with documentation and unit tests; publish results and present at conferences.

Skills

Computational imaging

Image processing

Inverse problems

Multidisciplinary teamwork

Education

PhD in physics or related field

Tools

Python

MATLAB

Job description

CNRS at ESRF invites applicants for a First Stage Researcher position in Materials Engineering. You will develop a unified reconstruction framework to extract lattice orientation and elastic strain from high-end X-ray imaging data, extending existing codes to new beam configurations.

The role demands experience in image processing, tomographic reconstruction, and inverse problems, with strong Python and MATLAB skills, and the ability to work across institutes in an international setting.