PhD Thesis: Prehistoric tool wear analysis and classification of tool use using topography multiscale analysis

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14 Mar 2024
Job Information
Organisation/Company
Université de Technologie de Compiègne (UTC)
Department
Doctoral School “Sciences for the Engineer” ED71
Research Field
Engineering » Mechanical engineering
History » Archaeology
Researcher Profile
First Stage Researcher (R1)
Country
France
Application Deadline
30 May 2024 – 19:00 (Europe/Paris)
Type of Contract
Temporary
Job Status
Full-time
Hours Per Week
37
Offer Starting Date
1 Oct 2024
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

Understanding the daily lives of fossil humans involves interpreting the tools (stone, bone, antler, shell) of these past users. Archaeological research has been addressing these issues for many years. As with any object (and a fortiori stone tools, which will be the focus of the project presented here), use and exposure to different agents modify the topography of the surfaces most directly accessible to the environment. Thus, observing and characterizing the traces (topographical signatures) on the surface of tools can provide clues to the processes undergone: movements performed (scraping, sawing…), materials worked on (skin, wood…).
To make the characterization and interpretation of stone tool surfaces alterations more robust, we propose to set up a method for multiscale characterization of the topography of altered surfaces using a corpus of experimental tools from different rocks (flint, quartzite, metarhyolite…) used (manually and with the aid of a tribometer) to saw or scrape different materials (bone, deer antler, reed…) with different numbers of cycles. This corpus will enable us to establish strategies for identifying and measuring areas of contact with the material being worked. Morphological indicators will then be set up to describe topographical signatures and thus move towards a classification of uses. The contributions of a classical statistical approach versus a deep learning approach will be assessed. The results will also be used to develop better excavation and post-excavation protocols to prevent alteration and better preserve traces of use on archaeological stonetools.

Requirements

Research Field
Engineering » Mechanical engineering
Education Level
Master Degree or equivalent

Skills/Qualifications

Master’s degree. Good skills in the acquisition and processing of surface topography and ideally in confocal and/or interferometric microscopy. Programming skills (R and/or Python) are required.

Languages
ENGLISH
Level
Good

Research Field
Engineering » Mechanical engineering

Internal Application form(s) needed
Thesis Proposal – Tapho_JMarteau_ABorel .pdf
English
(102.43 KB – PDF)
Download
Additional Information
Eligibility criteria

The PhD candidate should have a Master’s degree (or equivalent) 

Selection process

To apply, please send your motivation letter, CV and recommandation letters to Julie MARTEAU:  [email protected]  

Website for additional job details
https://www.utc.fr/formations/candidater-a-lutc/candidater-au-doctorat-utc/

Work Location(s)

Number of offers available
1
Company/Institute
Université de technologie de Compiègne – UTC
Country
France
State/Province
Centre de recherche de Royallieu, CS 60319
City
Compiègne
Postal Code
60203
Street
Rue du docteur Schweitzer

Where to apply

E-mail
[email protected]

Contact

City
COMPIEGNE
Website
https://www.utc.fr/formations/ecole-doctorale-sciences-pour-lingenieur.html
Street
Centre de Recherches
E-Mail
[email protected]

STATUS: EXPIRED

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