Scientist for Machine Learning Synchrotron Applications
Role details
Job location
Tech stack
Job description
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., * 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;
- Conduct an original research project exploiting machine learning for synchrotron applications with ESRF beamlines scientists;
- Work with scientists and engineers at ESRF and with partner institutions to expand and disseminate knowledge about the use of ML for synchrotron applications.
Requirements
- PhD degree in Physics, Biology, Computer Science, Science or similar area;
- At least 4 years of experience in machine (deep) learning developments (can include PhD years), ideally for synchrotron data analysis or similar;
- 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;
- Curiosity, good communication skills and being a team player is required, in order to work with engineers and scientists with different techniques and beamlines;
- Proficiency in English (working language at the ESRF.
Benefits & conditions
5 years fixed term contract.
The salary will be calculated on the basis of relevant qualifications and professional experience., * 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.