Université Bourgogne Europe - A Digital Twin based on Causal Reasoning and Data Mining (F/H)
Type de poste:
CDI
Description
We are hiring a Postdoctoral Fellowship on Digital Twin based on Causal Reasoning and Data Mining.
Responsibilities :
Create a digital twin for of the sorting center, enabling real-time representation and analysis of equipment, material flows, and operational states.
Design and implementation of a domain ontology :
Development of causal models and reasoning rules to support real-time decision-making
Address the challenges of real-time data acquisition, reasoning, and response within the digital twin framework
Publications in leading journals and conferences in the fields of knowledge engineering, industrial AI, and semantic data mining.
Qualifications :
PhD in Computer Science with experience in ontology, data mining, machine
learning, and real-time data analysis. An additional experience in computer vision and industrial
AI will be appreciated.
Dijon, Bourgogne-Franche-Comté, France
URL de l'offre:
https://www.linkedin.com/jobs/view/4267252638/?refId=ByteString(length%3D16%2Cbytes%3De87cab09...601a928c)&trackingId=iwvZJdgq%2BwFfyU%2FVixCPmQ%3D%3D
