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Annonce

1 juin 2017

Multiscale tomography: imaging and modelling ancient materials


Catégorie : Doctorant


Université Côte d’Azur – IdEx UCAJEDI – Programme structurant Matière – Lumière - Interactions

PhD position offered on Multiscale tomography: imaging and modelling ancient materials

Research direction and environment:

At the UCA, research will be mentored by one applied mathematician (INRIA) and one archaeologist (CNRS):

Together with another applied mathematician (CNRS - INRIA) and another archaeologist (CNRS):

The transdisciplinary focus needs mentor linking expertise in Physics, Mathematics, Statistics and Ancient Materials characterization:

  • Serge Cohen, CNRS, IPANEMA, CNRS/Ministère de la Culture et de la Communication/Université Versailles Saint Quentin (http://ipanema.cnrs.fr/).

The PhD will be based at INRIA Sophia Antipolis (http://www.inria.fr/centre/sophia/), within the team APICS, in close relation with the team MORPHEME, for modelling, imaging and data processing issues. The archaeological part of the study will be done in CEPAM Nice (http://www.cepam.cnrs.fr/). Pre-processed data will be available at IPANEMA near Paris (http://ipanema.cnrs.fr/), where a number of visits and stays will be programmed.

The PhD contract will start in October 2017 for 3 years. The net salary will be around 2070 € a month.

 

Université Côte d’Azur – IdEx UCAJEDI – Programme structurant Matière – Lumière - Interactions
Project: Multiscale tomography: imaging and modelling ancient materials

Topics of the PhD position offered

Pottery studies are known to be pivotal within the archaeological field thanks to their contributions to the understanding of cultural traditions, social interactions and peopling dynamics. The reconstruction of pottery manufacturing was traditionally based on macroscopic examination until the implementation of new 3D methods. The latter enable to solve challenging questions on ancient materials characterization at different scales, in terms of microstructure, i.e. fabric, porosity and inclusions organization. However, the modelling of the material’s microstructure needs critical improvements thanks to mathematical and physical developments, i.e. imaging issues, analysis of available heterogeneous noisy data, segmentation, 2D and 3D-shape recognition, algorithms to detect features induced by the technical gestures.

Our project provides a high level of expertise in Archaeology and Geomaterials already experienced (CIMO ANR http://www.cepam.cnrs.fr/cimo/?lang=en) as well as in Mathematics and Physics, supporting a new transdisciplinary approach of ancient materials. This PhD allows cutting edge developments both in archaeological, physical, and mathematical sciences for modelling and detecting low level signals.

The main objective of the PhD is the development of image analysis methods allowing detection of hidden structures in high-resolution images. This is a challenge in image processing due to the fact that the forms has to be recognized from only very few information that concern a large number of high-definition 3D reconstructed volumes, or 2D images. The difficulty of the task requires to develop new specific techniques for the detection of forms in these data. The overall process will involve tomographic reconstruction, using for instance inverse Radon reconstruction and related algorithms, image and volume processing through noise and artefact filtering, morphology/texture detection, segmentation and feature/shape extraction, using for instance stochastic geometry or detection of rare events. At the global scope, the methodological developpments will be focused on providing information that are relevant in the regard of the archeological questions at stake.

The candidate will have access to μCT and Synchrotron datasets. He or she will have to provide an excellent knowledge in signal and image processing and analysis techniques (classification, shape recognition, geometrical approaches), in statistical learning techniques, and a good knowledge in computer science, in particular regarding massive data processing (OpenMP, MPI, OpenCL/CUDA, …) and programming languages (matlab, R, C++). A general interest and knowledge in Social Sciences is welcome.

References

Research direction and environment

At the UCA, research will be mentored by one applied mathematician (INRIA) and one archaeologist (CNRS):

Together with another applied mathematician (CNRS - INRIA) and another archaeologist (CNRS):

The transdisciplinary focus needs mentor linking expertise in Physics, Mathematics, Statistics and Ancient Materials characterization:

The PhD will be based at INRIA Sophia Antipolis (http://www.inria.fr/centre/sophia/), within the team APICS, in close relation with the team MORPHEME, for modelling, imaging and data processing issues. The archaeological part of the study will be done in CEPAM Nice (http://www.cepam.cnrs.fr/). Pre-processed data will be available at IPANEMA near Paris (http://ipanema.cnrs.fr/), where a number of visits and stays will be programmed.

The PhD contract will start in October 2017 for 3 years. The net salary will be around 2070 € a month.

 

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