AI-Driven CAD Part Retrieval — Master Thesis

Toyota Material Handling Europe; Linköpings kommun; On-site; SEK 179,000 - 246,000; Part time

Job summary

Toyota Material Handling Europe (TMHE) invites two Master’s students to join the DART research project in Linköping. You will explore CAD retrieval, geometry graphs and vision-language models to enable smarter reuse of components and improve engineering efficiency.

The role is based at the TMHE Innovation Centre in Vallastaden and the TMHE Headquarters in Mjölby, with close collaboration to Linköping University.

Qualifications

• Experience with Python is required.
• Ability to communicate results in English.
• Collaborate with engineers to understand practical needs.

Responsibilities

• Review CAD retrieval research, shape similarity and vision-language models.
• Create a benchmark of realistic search requests with input from engineering experts.
• Assess whether generated descriptions capture geometric features that matter for reuse.
• Compare retrieval methods based on structured geometry graphs, text embeddings, geometric shape descriptors and combinations of these approaches.
• Measure search quality, processing time and cost as the catalogue grows.
• Develop explanations of suggested matches, highlighting shared and differing features.
• Validate the approach with engineers at Toyota Material Handling.

Skills

Python

Education

Master's degree in Mechanical Engineering

Master's degree in Computer Science or Artificial Intelligence

Tools

CATIA

STEP files

Job description

Toyota Material Handling Europe (TMHE) invites two Master’s students to join the DART research project in Linköping. You will explore CAD retrieval, geometry graphs and vision-language models to enable smarter reuse of components and improve engineering efficiency.

The role is based at the TMHE Innovation Centre in Vallastaden and the TMHE Headquarters in Mjölby, with close collaboration to Linköping University.