PhD Researcher: AI for Semantic Structures, Reasoning Flows & Personalized Content Generation
Core
Foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation for educational materials.
Role type
PhD Researcher (AI for Semantic Structures & Personalized Content)
Builds
Datasets, baseline models, personalized learning engines, reasoning-graph representations, and demonstrator systems for structured semantic extraction and rationale-aware content generation.
Domain
Artificial Intelligence, Computational Linguistics, Educational Technology, Knowledge Representation
Deliverable
production ML models | research | client delivery
Required skills
semantic parsing, structured representation learning, knowledge graphs, graph-based reasoning, transformer models, sequence modeling, GNNs, natural language generation, explainability, educational AI, personalization algorithms, cognitive modeling
Preferred skills
methodological innovation for online/hybrid learning, translating theoretical insights into engineered prototypes
Technologies
Python, co-pilot tools
Responsibilities
Develop methods for analyzing deep semantic structures in educational materials; create inference-time rationale generation and adaptive learner-aware content sequencing; contribute to high-quality publications and research prototypes; support teaching activities including course delivery and thesis supervision.
Seniority
PhD level, early-career researcher