Knowledge Computing Researcher
European Tech Recruit are working closely with a multinational telecommunications company, based in Edinburgh, who are looking for a talented Knowledge Computing Researcher to join their team.
In this role you will be expected to have a solid understanding of the whole technology research and development cycle from research and design to implementation and evaluation. A background in areas such as LLM based agents, knowledge graph, knowledge reasoning/inference and semantic search (text/image/video) is desired.
Responsibilities as Knowledge Computing Researcher:
* 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.
Requirements:
* 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.).
* At least 2 (3-5 would be desirable) papers published on top conference/journal in the related fields like KDD, ISWC, ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI, IJCAI, WWW, KR.
* Excellent software design and coding skills.
* Strong problem-solving, and excellent verbal and written communication skills.
Desirable Experience:
* Experience of LLM based agent.
* Knowledge of various reinforcement learning (POMDP, Imitation Learning, etc.) and deep learning (word embedding, LSTM, GAN, Pretrained models etc) algorithms for NLP.
* Knowledge of building large-scale knowledge graphs, especially reasoning and inference engine on knowledge graphs.
* Experience of TensorFlow, pytorch.
If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.
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