The resource will deal with the following activities:

· Consolidation of the audio/video →transcription → post-processing pipeline and quality optimization (technical terminology, formatting, consistency)

· Design and construction of a digital library (organization, meta dating, indexing and versioning of handouts/transcripts)

· Definition of a knowledge base for technical content: structure, taxonomies, tagging and updating criteria

· Development of an AI consultation environment (e.g. Q&A on technical material, semantic research, guided summaries, study paths)

· Prototyping of intelligent agents to support fruition: navigation between sources, retrieving citations, suggestions for related content

· System validation: quality of answers, traceability to sources, robustness on ambiguous questions and user feedback

• Master's Degree Enrollment (AI/Data Science/Computer Engineering/Computer Science or similar)
• Excellent knowledge of Python
• Concrete interest in NLP, LLM, information retrieval and AI applications for knowledge management
• Experience with Speech-to-Text (e.g. Whisper or equivalent) and text refinement techniques
• Familiarity with tools for RAG/Q&A and knowledge base management (indexing, embeddings, vector search)
• Knowledge of frameworks for AI agents/workflows
• Experience with the design of information systems or content platforms (CMS, metadata, search)