Intern, Research – Context and Knowledge Systems for AI

🔥 19 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

⚪️ Entry-level

🤖 Artificial Intelligence

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• Conduct original research in context and knowledge systems for AI • Investigate methods for representing and retrieving information to support reliable contextual inference • Develop new approaches to dynamically identify and assemble relevant knowledge from large and evolving information environments • Build research prototypes using graph-based, semantic or hybrid approaches and apply them to realistic project information • Design and conduct rigorous experiments, including research questions, baselines and evaluation methods • Collaborate with Autodesk researchers and engineers across AI research, software engineering and domain expertise • Communicate research findings through internal presentations, research papers, technical reports and demonstrations • Develop and evaluate an original approach during the 12-week internship, producing a working prototype, experimental evidence and findings/limitations • Potentially develop the research contribution toward academic publication

🎯 Requirements

• Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Data Science, Information Science or a closely related field, with at least one academic term remaining after the internship • Research experience in knowledge representation, information retrieval, data management or contextual information systems for AI • Strong programming skills and experience developing experimental research software • Understanding of contemporary AI systems and how retrieval and contextual information support modern reasoning or agentic workflows • Experience formulating research questions and designing empirical evaluations • Strong written and verbal communication skills • Knowledge graphs or graph-based information systems would be valuable • Advanced information retrieval and hybrid retrieval methods would be valuable • Retrieval-augmented generation, including GraphRAG or related approaches, would be valuable • Context engineering or memory architectures for AI systems would be valuable • Semantic and structured knowledge representation would be valuable • Temporal, provenance-aware or evolving data systems would be valuable • Heterogeneous data integration at scale would be valuable • Graph machine learning applied to representation or retrieval would be valuable • A strong research publication record in a relevant area is desirable

🏖️ Benefits

• Competitive compensation package • In-person onboarding and/or in-person ID verification may be required