Research Intern: AI Context & Knowledge Systems

Autodesk, Inc; United Kingdom; A distancia; GBP 20.000 - 25.000; Jornada completa

Descripción de la vacante

Autodesk Research offers a focused 12-week internship in Intelligent Construction, exploring context and knowledge systems to enable reliable AI reasoning on evolving project data. You will build prototypes, run experiments, and collaborate with researchers and engineers across AI, software engineering, and construction disciplines.

The role emphasizes original research, rigorous evaluation, and potential publication, with opportunities to contribute to demonstrations and reports shared within

Formación

• PhD candidate with research focus relevant to knowledge representation, information retrieval, data management or contextual AI systems.
• Strong programming skills and experience developing experimental research software.
• Ability to formulate research questions and design empirical evaluations.
• Excellent written and verbal communication skills.

Responsabilidades

• Conduct original research in context and knowledge systems for AI.
• Investigate methods for representing and retrieving information to support reliable contextual inference.
• Develop prototypes using graph-based, semantic or hybrid approaches for realistic project data.
• Design and run rigorous experiments with baselines and evaluation methods.
• Collaborate with researchers and engineers to translate ideas into experiments and demonstrations.
• Communicate research findings through reports, presentations, and potential publications.

Conocimientos

Research experience

Programming

AI systems understanding

Experiment design

Communication

Educación

PhD in Computer Science / AI / Data Science / Information Science

Descripción del empleo

Autodesk Research offers a focused 12-week internship in Intelligent Construction, exploring context and knowledge systems to enable reliable AI reasoning on evolving project data. You will build prototypes, run experiments, and collaborate with researchers and engineers across AI, software engineering, and construction disciplines.

The role emphasizes original research, rigorous evaluation, and potential publication, with opportunities to contribute to demonstrations and reports shared within