AutodeskHiring

Research Intern, Context and Knowledge Systems for AI

  • Remote, United Kingdom
  • Internship
  • Entry-level
  • Posted 2 days ago
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In one line

Twelve-week summer research internship for a PhD student, studying how large evolving bodies of information can be represented and retrieved to support AI reasoning.

About the role

Construction projects change state constantly, which makes them a useful testbed for context and knowledge systems. The intern owns one focused research problem, with room to bring in ideas from their own work.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United Kingdom
Seniority
Entry-level
Employment
Internship
Skills
Knowledge graphs, Information retrieval, Retrieval-augmented generation, GraphRAG, Graph machine learning
Posted
19 Oct 2026
Last checked
19 Oct 2026

What you will do

  • Investigate ways to represent and retrieve information so AI systems can reason with the right context
  • Build experimental prototypes using graph-based, semantic or hybrid methods on realistic project data
  • Design experiments with clear research questions, baselines and evaluation methods
  • Work with researchers, engineers and domain experts to refine ideas into working systems
  • Present findings internally and contribute to papers, technical reports or demonstrations where suitable

What they look for

  • Enrolled in a PhD in computer science, AI, data science, information science or a similar field, with at least one term left after the inter
  • Research background in knowledge representation, information retrieval, data management or contextual systems for AI
  • Strong programming skills and experience writing experimental research software
  • Understanding of how retrieval and context support reasoning or agentic workflows in modern AI
  • Experience framing research questions and designing empirical evaluations, plus good written and spoken communication

Nice to have

  • Work on knowledge graphs, hybrid retrieval, retrieval-augmented generation, context engineering or memory architectures
  • A strong publication record in a relevant area

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Claude

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Questions about this job

Is this job fully remote, and from where?

Yes, it is listed as remote, aimed at candidates in the United Kingdom.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is an entry-level role. The posting asks for: enrolled in a PhD in computer science, AI, data science, information science or a similar field, with at least one term left after the inter; research background in knowledge representation, information retrieval, data management or contextual systems for AI; strong programming skills and experience writing experimental research software. Skills it names include Knowledge graphs, Information retrieval, Retrieval-augmented generation, GraphRAG.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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