Computational scientist in coherent X-ray imaging

Context & Job Description
The Extremely Brilliant Source upgrade of the ESRF has led to two orders of magnitude increase in the available coherent X-ray flux. This primarily benefits techniques like coherent diffraction imaging (CDI), holo-tomography, ptychography which can image samples in three dimensions with an increased speed and resolution. One important challenge remains in iterative reconstruction algorithms, which require a lot of processing. This is currently developed at ESRF with the open-source PyNX software suite which exploits graphical processing units (GPU) for accelerated reconstructions enabling online data analysis.

You will drive software development to exploit coherent beams at ESRF, notably in the field of far-field (including Bragg geometry) or near-field imaging. The position will present particular challenges in the development of phasing algorithms, data processing, visualization. You will explore new avenues in coherent imaging, e.g. exploiting machine learning or introducing new techniques exploiting the EBS-enhanced coherent photon flux. You will also contribute to the maintenance of analysis pipelines for ESRF beamlines.

The work will take place in the Algorithms & scientific Data Analysis group, in close collaboration with coherent imaging beamlines. Further information about the post can be obtained from Vincent Favre-Nicolin ).

Your Missions Include

• The development, implementation, and optimisation of novel algorithms and data processing modules, notably with the PyNX software )
• Support ESRF beamlines exploiting coherent X-ray imaging techniques
• Conduct an original research project exploiting coherent X-ray imaging in collaboration with ESRF beamlines scientists, e.g. with original techniques or algorithms allowing to better exploit the EBS-enhanced coherent photon flux

Expected profile

Required Skills And Experience

• PhD (or equivalent) in Physics, Computer Science, Engineering, or a related scientific field.
• Postdoctoral experience is an advantage.
• Strong programming skills in Python are essential, particularly for developing optimisation and reconstruction algorithms. Knowledge of GPU programming (CUDA, OpenCL) is a plus.
• Experience in data analysis using machine learning is a strong asset.
• Hands-on experience with synchrotron-based X-ray imaging is a strong asset.
• A solid background in the natural sciences or mathematics is beneficial.
• Curiosity, strong communication skills, and the ability to work collaboratively with engineers and scientists across various techniques and beamlines are essential.
• Proficiency in English, the working language at the ESRF.

Working conditions

Temporary contract of 5 years.

The salary will be calculated on the basis of relevant qualifications and professional experience.

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What We Offer

• Join an innovative international research institute, with a workforce from 38 different countries
• Collaborate with global experts to advance science and address societal challenges
• Come and live in a vibrant city, in the heart of the Alps, and Europe's Green Capital 2022
• Enjoy a workplace designed to support your quality of life
• Benefit from our competitive compensation and allowances package, including financial support for your relocation to Grenoble

For further information on employment terms and conditions, please refer to "What we offer" section of our Careers page

The ESRF is an equal opportunity employer and encourages applications from disabled persons.

Company Description
The European Synchrotron, the ESRF, is an international research centre based in Grenoble, France.

Through its innovative engineering, pioneering scientific vision and a strong commitment from its 700 staff members, the ESRF is recognised as one of the top research facilities worldwide. Its particle accelerator produces intense X-ray beams that are used by thousands of scientists each year for experiments in diverse fields such as biology, medicine, environmental sciences, cultural heritage, materials science, and physics.

Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity.