Ai-Ready Data Products For Manufacturing Data Spaces - Thesis
TXT e-Tech, a company of the TXT Group, is looking for a candidate for a curricular internship linked to a Master's thesis project.
The thesis/internship will focus on the design and prototyping of AI-ready Data Products for Manufacturing Data Spaces within the AeroMES-AI project.
The activity will involve the analysis and integration of open-source technologies such as Eclipse Tractus-X and Eclipse Dataspace Connector (EDC), addressing key topics including data quality, metadata management, semantic interoperability, and data provenance.
The project will culminate in the development of a Proof of Concept (PoC), in which industrial data originating from systems such as Manufacturing Execution Systems (MES) and Product Lifecycle Management (PLM) platforms are prepared, governed, and securely shared through a Data Space,
enabling their consumption by AI-powered services developed by TXT.
Key Responsibilities: Analyze and design AI-ready Data Products for Manufacturing Data Spaces.
Research, evaluate, and integrate Eclipse Tractus-X and Eclipse Dataspace Connector (EDC) technologies.
Develop Java-based Data Space components and supporting services.
Define and implement data management concepts, including metadata, semantic models, data quality, and data provenance.
Design and develop a Proof of Concept (PoC) enabling the secure publication, sharing, and consumption of industrial data by AI-driven services.
Integrate and vali
The thesis/internship will focus on the design and prototyping of AI-ready Data Products for Manufacturing Data Spaces within the AeroMES-AI project.
The activity will involve the analysis and integration of open-source technologies such as Eclipse Tractus-X and Eclipse Dataspace Connector (EDC), addressing key topics including data quality, metadata management, semantic interoperability, and data provenance.
The project will culminate in the development of a Proof of Concept (PoC), in which industrial data originating from systems such as Manufacturing Execution Systems (MES) and Product Lifecycle Management (PLM) platforms are prepared, governed, and securely shared through a Data Space,
enabling their consumption by AI-powered services developed by TXT.
Key Responsibilities: Analyze and design AI-ready Data Products for Manufacturing Data Spaces.
Research, evaluate, and integrate Eclipse Tractus-X and Eclipse Dataspace Connector (EDC) technologies.
Develop Java-based Data Space components and supporting services.
Define and implement data management concepts, including metadata, semantic models, data quality, and data provenance.
Design and develop a Proof of Concept (PoC) enabling the secure publication, sharing, and consumption of industrial data by AI-driven services.
Integrate and vali