Bachelor / Master Thesis: URGENT: Artificial Intelligence in the development of complex systems

The Institute of Machine Elements and System Development researches the fundamental structural and tribological behavior of machine elements and depicts this in experimentally validated model descriptions. These model descriptions are used to analyze and design the functional, loss and noise behavior of entire technical systems with a focus on drive technology. The developed models are also used to research and develop methods of model-based systems engineering as a central element of future, inductive product development processes.

This work explores the transformative potential of AI in product development. Based on the existing MBSE model, state-of-the-art AI techniques are implemented to enable seamless access to complex system information and make technical data more intuitive and usable. This work provides an opportunity to redefine the way engineers develop complex systems!

In the KIMBA research project, we are working with leading OEMs, Tier1 suppliers and exciting European companies in AI to develop innovative approaches to the digitalization of product development. The goal is to build a virtual assistant for the development phase of complex systems. I am looking for ambitious students to join this journey!

Tasks:

• Concept and evaluation framework development
• Exploration of different AI architectures
• Design and implementation of a (Multi-) Agent System to assist in product development
• Evaluation of the results
• Written documentation and presentation in the form of a final presentation and a demonstrator
• For more detailed information please contact me

Prerequisite:

• Student in mechanical eng., informatics, data science or similiar
• Independent, reliable way of working
• Highly motivated
• Good programming skills, preferably in Python
• Experience with AI/ML frameworks (e.g. TensorFlow, PyTorch, Hugging Face, LangChain etc.) an advantage

We offer:

• Flexible organization of work priorities
• Rapid processing options
• Intensive support
• Immediate start or by arrangement
• Very good working atmosphere
• Chance to publish your work in journals

Auf deine aussagekräftige Bewerbung per E-Mail freut sich:

Vicent Quast, M. Sc. RWTH
Institut für Maschinenelemente und Systementwicklung

Eilfschornsteinstraße 18, 52062 Aachen
vincent.quast@imse.rwth-aachen.de