3D imaging and neuro-symbolic learning models: identification of faunal remains in archaeozoolo[...]

CNRS; France; Sur place; EUR 35 000 - 50 000; Plein temps

Résumé du poste

A leading research organization in France seeks a researcher to contribute to studying interactions between humans and fauna during the Holocene. The role involves redefining criteria in archaeozoology and establishing new benchmarks using 3D models. Ideal candidates will have a PhD in archaeology, with specific knowledge of taxa such as sheep and ibex required. The successful candidate will work in a multidisciplinary team, focusing on past biodiversity and its transformations.

Qualifications

• PhD in archaeology, specializing in archaeozoology.
• Familiarity with 3D modelling is a plus.
• Knowledge of specific taxa required.

Responsabilités

• Document interactions between humans and fauna during the Holocene.
• Redefine criteria for comparative anatomy in archaeozoology.
• Establish new criteria for 3D models of studied taxa.

Connaissances

Archaeozoology

3D modelling

Machine learning

Comparative anatomy

Formation

PhD in archaeology

Description du poste

Organisation/Company CNRS Department Cultures et environnements : Préhistoire, Antiquité, Moyen-Age Research Field History Anthropology Environmental science Researcher Profile Recognised Researcher (R2) Application Deadline 24 Jan 2026 - 00:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Contributing to documenting the dynamics of interactions between humans, wild and domestic fauna, and environments during the Holocene, this project aims to improve the identification of ancient fauna. It will strengthen the study of anthropogenic impact on past biodiversity and its transformations, and refine the recognition of extinct animal varieties or those with particular adaptations by combining methods borrowed from archaeozoology, 3D imaging and machine learning.

The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria specific to 3D models, based on 150 3D-modelled taluses belonging to five morphologically similar taxa: sheep, goats, alpine ibex, European roe deer and gazelles. These criteria will form the future reference features for machine learning (AI) algorithms. The successful candidate will work as part of a multidisciplinary team of archaeozoologists and mathematicians.

The mission will be based at the CEPAM laboratory, part of the Maison des Sciences Humaines et Sociales Sud-Est (MSHS) at the Université Côte d'Azur (UniCA) in Nice (Saint Jean d'Angély 3 campus). The doctoral candidate will be co-supervised by Manon Vuillien (archaeozoologist, CNRS) and Marco Corneli (CPJ, UniCA).

The ideal candidate will hold a PhD in archaeology, specialising in archaeozoology, and potentially be familiar with 3D modelling. Knowledge of the taxa of interest (sheep, goats, alpine ibex, European roe deer and gazelles) is required.