PhD Researcher: AI for Semantic Structures, Reasoning Flows & Personalized Content Generation
Constructor University(1 month ago)
About this role
A funded research fellowship at Constructor University focused on AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation for scientific and educational materials. The role combines research on semantic parsing, graph-based neural models, and learner-aware content sequencing with contributions to datasets, prototypes, publications, and support for teaching at BSc, MSc, and PhD levels.
Required Skills
- Semantic Parsing
- Representation Learning
- Knowledge Graphs
- Graph Neural Networks
- Transformer Models
- Sequence Modeling
- Natural Language Generation
- Explainability
- Personalization Algorithms
- Python
Qualifications
- Master's Degree (Computer Science or related)
- PhD Degree (Computer Science or related)
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