Thesis Subject: Microstructure and texture analysis of x-ray diffraction data using Machine Learning
You will join a collaboration between the ID03 and Algorithms & Scientific Data Analysis teams at the ESRF to study the microstructure and texture of engineering materials.
Upon plastic deformation, the crystal lattice accumulates defects such as dislocations. With increasing deformation these dislocations self-organize into 3D structures such as grain and subgrain boundaries. Eventually this process leads to work-hardening. Beamline ID03 uses Dark Field X-ray Microscopy (DFXM) to study this microstructure in-situ and in 3D.
You will join the Algorithms & Scientific Data Analysis (ADA) group and develop machine-learning techniques to identify and characterize large-scale dislocation structures such as low-angle grain boundaries. Your objectives will be to:
The project will bring much-needed automation of the data analysis workflows for DFXM, enable non-expert users to make better use of their data, and make the techniques more accessible to an even larger scientific community, and especially industry. All work will be carried out in close collaboration with the ESRF Dark-Field X-ray Microscopy beamline ID03.
The successful candidate will be enrolled at the Université Grenoble-Alpes. The candidate will be hired by the ESRF (Grenoble, France). The contract is of two years renewable (subject to satisfactory progress) for one year.
The ESRF is an equal opportunity employer and encourages diversity.
If you are interested in this position, please apply via the ENGAGE website (not on the ESRF website)
This PhD is co-funded by the Marie Skłodowska-Curie COFUND project ENGAGE (grant agreement101034267), and applicants must follow the associated rules notably regarding mobility (see http://ec.europa.eu/research/participants/portal/doc/call/h2020/h2020-msca-itn-2015/1622613-itn_2015_-_guide_for_applicants_v1_en.pdf). In particular, applicants must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the last 3 years.
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 21 countries, the ESRF is an equal opportunity employer and encourages diversity.