PhD: Neuro-Symbolic Ontology for Digital Twin Interoperability

Edtlab; Grenoble; Sur place; EUR 16 740 - 27 900; Plein temps

Avantages offerts par ce poste

Collaboration with leading research institutions

Access to national research network

Opportunity to contribute to open-source platform

Résumé du poste

Edtlab in Grenoble is seeking a PhD candidate to explore the integration of neuro-symbolic AI in ontology alignment for digital twins. The candidate will work on enhancing methods for data linking through deep learning, supported by renowned researchers in a collaborative environment.

This role offers training in knowledge engineering and exposure to real-world applications, positioning the candidate as an expert in this vital field. Opportunities for collaboration with leading institutions and contributions to an open-source platform are integral to the development of this thesis.

Qualifications

• Experience with digital twins is essential.

Responsabilités

• Study contribution of neuro-symbolic AI to ontology alignment and data linking.
• Improve methods for aligning ontologies using deep learning.
• Validate methods for explainability of machine learning approaches.

Connaissances

Experience with digital twins

Description du poste

Edtlab in Grenoble is seeking a PhD candidate to explore the integration of neuro-symbolic AI in ontology alignment for digital twins. The candidate will work on enhancing methods for data linking through deep learning, supported by renowned researchers in a collaborative environment.

This role offers training in knowledge engineering and exposure to real-world applications, positioning the candidate as an expert in this vital field. Opportunities for collaboration with leading institutions and contributions to an open-source platform are integral to the development of this thesis.