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- Tasks: Join a team to architect innovative solutions in knowledge computing and AI.
- Company: Work with a leading multinational telecommunications company in Edinburgh.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of technology research, making a real impact in AI development.
- Qualifications: PhD in relevant fields and 3+ years of experience in knowledge engineering or NLP required.
- Other info: Opportunity to publish research and collaborate with top experts in the field.
The predicted salary is between 48000 - 72000 £ per year.
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:
- Architect solutions that deeply couple retrieval systems (RAG, KGs, databases) with agent planning, reasoning, and execution workflows.
- Translate cutting-edge research into deployable systems across scenarios such as virtual assistants, intelligent QA, multi-agent collaboration, and AI developer tools.
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, KR.
Excellent software design and coding skills.
Knowledge of building large-scale knowledge graphs, especially reasoning and inference engine on knowledge graphs.
Video Researcher employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Video Researcher
✨Tip Number 1
Familiarise yourself with the latest advancements in knowledge engineering and natural language processing. Being well-versed in current trends and technologies will not only boost your confidence but also help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field by attending relevant conferences or webinars. This can provide you with insights into the industry and may even lead to referrals or recommendations for the position at StudySmarter.
✨Tip Number 3
Prepare to discuss your published papers in detail. Be ready to explain your research findings and how they relate to the role of a Knowledge Computing Researcher, as this will demonstrate your expertise and passion for the subject.
✨Tip Number 4
Showcase your coding skills through personal projects or contributions to open-source initiatives. Having tangible examples of your software design and coding abilities can set you apart from other candidates and highlight your practical experience.
We think you need these skills to ace Video Researcher
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Video Researcher position. Familiarise yourself with key concepts like LLM based agents, knowledge graphs, and semantic search.
Tailor Your CV: Highlight your relevant experience in knowledge engineering, NLP, and machine learning. Be specific about your projects, especially those that relate to the technologies mentioned in the job description.
Showcase Your Publications: If you have published papers, list them prominently in your application. Mention the conferences or journals where they were published, as this demonstrates your expertise and commitment to the field.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the specific needs of the role. Discuss how your experience aligns with the company's goals and how you can contribute to their projects.
How to prepare for a job interview at European Tech Recruit
✨Showcase Your Research Experience
Be prepared to discuss your published papers in detail. Highlight the methodologies you used and the impact of your research, especially if it relates to knowledge engineering or NLP.
✨Demonstrate Technical Proficiency
Brush up on your coding skills and be ready to solve technical problems during the interview. Familiarise yourself with relevant technologies like RDF, SPARQL, and machine learning frameworks.
✨Understand the Role's Requirements
Make sure you have a solid grasp of the technology research and development cycle. Be ready to explain how your background aligns with the responsibilities of architecting solutions and translating research into deployable systems.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to apply your knowledge in real-world scenarios. Think about examples where you've successfully implemented knowledge graphs or worked with AI tools, and be ready to discuss them.
