This website uses cookies to ensure that we give you the best experience on our website. If you continue we assume that you consent to receive all cookies on all websites.
For further information, please click here >>.
Intranet

Software engineers / data processing experts for X-ray data analysis

Context & Job description

The upgrade of the ESRF synchrotron source has led to a steep increase in data volumes and throughput, for a wide range of X-ray experimental techniques, including scattering, spectroscopy, tomography and coherent imaging techniques. All those areas require new or improved tools for the online and offline data processing and analysis of experimental data, suitable for a wide community of users.

Each job (maximum duration 36-months) will consist in developing a suite of tools in one of the following areas in X-ray science:

  • spectroscopy: workflows and graphical interfaces for X-ray spectroscopy techniques (XAS)
  • powder diffraction and small-angle X-ray scattering: develop a tool for the quantitative analysis of large 1D-to-4D scattering maps
  • dark field imaging: improve the existing darfix software, and the automation of large datasets
  • tomography: online data processing for full-field tomography
  • coherent diffraction imaging: develop widgets and implement workflows for online data processing of CDI in the small and Bragg angle regime.
  • 3D grain mapping: streamline multiscale 3D/4D grain mapping for the 3DXRD and Diffraction Contrast Tomography (DCT) techniques

All the developments will be done in Python, exploiting existing software (including high-performance computing solutions) in the specific areas (spectroscopy, scattering, imaging), as well as more generic toolkits (silx, ewoks,..) developed for data processing and visualisation at ESRF.

 

You will work in the Algorithms & scientific Data Analysis (ADA) group of the Experiments division, in close collaboration with the Software Group's Data Automation Unit (DAU) and multiple beamlines exploiting the different techniques. Further information about the post can be obtained from Vincent Favre-Nicolin (favre@esrf.fr).

Expected profile

  • You hold a Higher university degree (Master or equivalent diploma offering 300 ECTS) in Biology, Physics, Chemistry, Computer Science, Engineering, Science or similar area. PhD would be an asset
  • Extensive programming skills in Python and scientific computing libraries are mandatory
  • The ability to adapt to complex experimental data analysis is essential
  • Experience in the field of X-ray data processing in one of the relevant areas (spectroscopy, tomography, scattering, imaging...) is a strong asset
  • Knowledge of graphical user interfaces development using Python (notably PyQt) is an asset
  • A strong background in natural sciences or mathematics is an asset
  • Curiosity and good communication skills are required, so that you may interact with scientists of different techniques and beamlines
  • Proficiency in English (working language at the ESRF)

Working conditions

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

Do you recognize yourself in this description? Apply now for your next professional adventure!

What we offer:

  1. Join an innovative international research institute, with a workforce from 38 different countries
  2. Collaborate with global experts to advance science and address societal challenges
  3. Come and live in a vibrant city, in the heart of the Alps, and Europe's Green Capital 2022
  4. Enjoy a workplace designed to support your quality of life
  5. 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 https://www.esrf.fr/home/Jobs/what-we-offer.html

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

This website uses cookies to ensure that we give you the best experience on our website. If you continue we assume that you consent to receive all cookies on all websites.
For further information, please click here >>.