Ph.D. Researcher. Knowledge Discovery: From Unstructured Data to Shared Cognitive Maps
Core
Developing flexible frameworks for actionable knowledge representation to transform unstructured data into interactive knowledge graphs and personalized cognitive maps.
Role type
Ph.D. Researcher in Knowledge Discovery and AI
Builds
Systems enabling transparent, adaptive, and spatially intuitive representations of knowledge for individual users and collaborative communities
Domain
Computer Science, Artificial Intelligence, Machine Learning, Knowledge Graphs
Deliverable
production ML models
Required skills
Knowledge graph development, Information retrieval, Large language models (LLMs), Mathematical modeling, Academic research
Preferred skills
Publications in AI/ML, Practical research experience, Cross-domain abstraction
Technologies
Large language models (LLMs), Knowledge graphs
Responsibilities
Transforming unstructured data into interactive knowledge graphs, Designing interpretable and navigable knowledge structures, Addressing challenges in hierarchy and composability for reasoning, Exploring individual and community-level knowledge modeling
