Bachelor-/Masterthesis: Using Artificial Intelligence (AI) (incl. Machine Learning / Computer Vision etc.) for Digital Twin Services

A digital twin of an original is a software that consists of a set of models of the system, a set of digital shadows (data traces), and provides a set of services to use both purposefully with respect to the original system. Artificial intelligence (AI), including computer vision and machine learning, can play a crucial role in enabling these services, for example in the following applications:

  • Screw detection in images and point clouds for the disassembly of battery packs
  • Microstructure image analysis in material science to predict material properties

Your Tasks

  • Apply computer vision and machine learning techniques to research intelligent services for digital twin systems
  • Design and implement well-engineered software, including:
    • Clean, modular code
    • Unit/integration tests
    • Documentation

What We Offer

  • Creative freedom to contribute your own ideas, preferences, and approaches
  • Involvement in interdisciplinary real-world problems with immediate practical applications
  • Access to supervision with expertise in:
    • Computer vision and machine learning
    • Software engineering
    • Application-specific domain knowledge (e.g., materials science, mechanical systems)
  • Possibility to generate new datasets on top of existing ones if needed for training or fine-tuning machine learning algorithms
  • Opportunities for publication may be explored

Your Profile

  • Bachelor’s or Master’s student in Computer Science or a closely related field
  • Students from:
  • Comfortable working with real-world data
  • Motivated, proactive, and independent
  • Good communication skills (German or English)

How to Apply

For more information or to apply, please send your application documents to: Henrik Thillmann 📧 thillmann@se-rwth.de