Scientist for machine learning synchrotron applications

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.

The Extremely Brilliant Source upgrade of the ESRF has led to a significant increase in the acquisition speed and the amount of data which must be processed and analysed by the end users. It is therefore essential to provide advanced tools to enhance the acquisition and data analysis strategies, and provide online (live during experiments) feedback to the ESRF users.

We are looking to recruit two 5-year scientists to work on machine learning developments in two main areas: firstly, for tomography, e.g. for applications like denoising, super-resolution, segmentation or improved data collection. And secondly for scattering/diffraction applications, notably (but not exclusively) for structural biology, where the standardisation of techniques makes it a prime target for smarter automation to improve the data quality and the acquisition efficiency.

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

Your missions include:

1. The development and deployment of innovative machine-learning based algorithms for data acquisition and online data processing, in the fields of scattering/diffraction (notably structural biology) and tomography.
2. Conduct an original research project exploiting machine learning for synchrotron applications with ESRF beamlines scientists.
3. Work with scientists and engineers at ESRF and with partner institutions to expand and disseminate knowledge about the use of ML for synchrotron applications.

Qualifications:

1. PhD degree in Physics, Biology, Computer Science, Science or similar area.
2. At least 4 years of experience in machine (deep) learning developments (can include PhD years), ideally for synchrotron data analysis or similar.
3. Strong programming skills in Python in the field of experimental data analysis are required, including usual deep learning toolkits. GPU programming (CUDA, OpenCL) is a plus.
4. Curiosity, good communication skills and being a team player is required, in order to work with engineers and scientists with different techniques and beamlines.
5. Proficiency in English (working language at the ESRF).

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 this link.

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

Company:

ESRF

Level of experience (years):

Senior (5+ years of experience)