Knowledge Computing Researcher

Knowledge Computing Researcher
Location: Edinburgh, UK
Job Summary
We are looking at for a Knowledge Computing Researcher, with research and development experience in LLM based agent, knowledge graph, knowledge reasoning/inference, semantic search (text/image/video), and question answering etc. Some experience on deep learning / logic is desirable.
As a Knowledge Graph Researcher, you are expected to have a solid understanding of the whole technology research and development cycle from research and design to implementation and evaluation, cooperating with engineering teams in headquarters.

Key Responsibilities:

• Design and implement core modules in knowledge-augmented agent systems, including knowledge retrieval, memory modelling, and task orchestration.
• Drive the development of memory capabilities for intelligent agents, integrating structured and unstructured knowledge from multiple modalities.
• Architect solutions that deeply couple retrieval systems (RAG, KGs, databases) with agent planning, reasoning, and execution workflows.
• Work closely with LLM platforms, search infrastructure, and knowledge graph systems to build collaborative end-to-end agent solutions.
• Translate cutting-edge research into deployable systems across scenarios such as virtual assistants, intelligent QA, multi-agent collaboration, and AI developer tools.
• Be part of internal engineering efforts, with responsibility of algorithms, modelling, engineering and product scaling and support.

Required: 

• PhD in NLP, deep learning, knowledge engineering, information retrieval, or related fields.
• At least 3 years of work experience in at least one of the following fields is REQUIRED:
• Knowledge engineering technologies (RDF, SPARQL, OWL, SKOS)
• Natural Language Processing (LLM, agent, entity detection, question answering, etc.)
• Machine Learning / Deep Learning (LSTM, transformer, etc.).