A Digital Twin based on Causal Reasoning and Data Mining
Il y a 7 jours
Dijon, Bourgogne – Franche-Comté, France
Université Bourgogne Europe
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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.
• 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.