En poursuivant votre navigation sur ce site, vous acceptez le dépôt de cookies dans votre navigateur. (En savoir plus)
Portail > Offres > Offre UMR5306-VINMOT-002 - Développement d'un dispositif LIBS-MS pour l'analyse des mortiers archéologiques (H/F)

Development of a LIBS-MS device for the analysis of archaeological mortars (M/F)

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : vendredi 14 octobre 2022

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler. Les informations de votre profil complètent celles associées à chaque candidature. Afin d’augmenter votre visibilité sur notre Portail Emploi et ainsi permettre aux recruteurs de consulter votre profil candidat, vous avez la possibilité de déposer votre CV dans notre CVThèque en un clic !

General information

Reference : UMR5306-VINMOT-002
Date of publication : Friday, September 23, 2022
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 December 2022
Proportion of work : Full time
Remuneration : between 2833€ and 4003€ gross monthly depending on experience
Desired level of education : PhD
Experience required : 1 to 4 years


Our project focuses on a key element of research in building archaeology: the dating of the buildings construction phases. The three laboratories involved, of interdisciplinary horizon: ILM (Institut Lumière Matière - UMR 5306), ArAr (Laboratoire d'archéologie et d'Archéométrie - UMR 5138) and Archéosciences Bordeaux (UMR 6034) proposed to develop an innovative physicochemical method for the characterization and dating of archaeological lime mortars. Based on the location of the regions of interest for dating, spatially resolved carbon extraction will then be performed by laser ablation. This analysis will be combined with precise identification of the areas of interest by LIBS (Laser-Induced Breakdown Spectroscopy) and MS (Mass Spectrometry) imaging which will be performed by artificial intelligence. The methodology will be tested on experimental samples and samples from well-dated sites by cross-dating methods. We will rigorously validate the results obtained with a Bayesian statistical treatment integrating archaeological and archaeometric data.


- Setup of the LIBS and MS imaging device including the installation of an ablation cell.
- Optimization of the CO2 extraction conditions through a detailed study of the ablation parameters and conditions.
- Development of the artificial intelligence (AI) algorithm based on the principle of neural networks.
- Implementation of a "masked" extraction mode corresponding to the areas of interest identified by the AI.
- Validation of the method on reference archaeological samples.


The candidate should have a PhD in physics and/or chemistry.

- Solid skills in instrumentation: laser beam shaping, alignment, development of optical systems
- Spectroscopies (optical, emission, mass, ...)
- Programming and processing of spectroscopic data and, if possible, imaging data
- Good knowledge of scientific English
- Experience in vacuum instrumentation would be a bonus.

- Innovation, rigor and reliability
- Ability to work in a team
- Good communication skills
- Demonstrate educational skills

Work Context

The candidate will work in the SpectroBio team of the Institut Lumière Matière (iLM). The iLM is a CNRS-University of Lyon 1 research unit located on the Lyon Tech La Doua campus. With approximately 300 employees, including a hundred doctoral students, the iLM is a major player in physics and chemistry research in the Auvergne Rhône Alpes region, internationally recognized for the excellence of its research. Fundamental research, responses to major societal challenges and innovation are at the heart of the unit's approach. The candidate will interact with the researchers, engineers and students of the host team and of the whole consortium. The work environment is stimulating due to its multidisciplinary nature. The project is funded by the French National Research Agency (ANR): MEMOAr project (ANR 2022).

Constraints and risks

Risks related to the handling of laser beams

We talk about it on Twitter!