Offre de thèse : Automated interpretation of SR-based XRF and IR spectroscopic data using machine learning approach in archaeological sciences (Jordan)

Logo SESAME Synchrotron

Synchrotron-light for Experimental Science and Applications in the Middle East (SESAME) is a “third-generation” synchrotron light source that was officially opened in Allan (Jordan) in 2017. Currently, three beamlines are operational at SESAME (XAFS/XRF, IR, and MS) those are extensively implemented in the study of archaeological sciences. Quantitative and qualitative investigation of archaeological data is a very challenging procedure due to the complex nature of samples besides the existing technical limitations. This project will focus on exploring a large number of experimental data sets acquired at the XAFS/XRF and IR Microspectroscopy beamlines, as well as, the implementation of novel data acquisition, processing and interpretation procedures via Machine Learning (ML) approaches.

Plus d’informations :
[Télécharger l'annonce - PDF 150 Ko] et [Website ENGAGE project]