Master's Thesis: Shaping Multi-Agent-Based Production Engineering

Siemens AG · Karlsruhe · 35 hours a week

ThesisGerman needed: fluent

Still open on 8 Nov

You apply on the company's own website.

Key facts

Hours: 35 hours a week
Where you work: At the company
Language needed: German and English
Subject you study: Mechanical Engineering, Electrical Engineering, Industrial Engineering, Mechatronics, Computer Science, Business Informatics

Carry out extensive research and analyse the latest developments in multi-agent systems, agentic workflows and ontologies in industrial engineering and production
Analyse existing engineering and production processes and identify relevant ontology standards and knowledge areas
Design a shared engineering ontology that provides a semantic knowledge base for agents working across different fields
Develop and implement targeted proofs of concept for specialised agent systems, such as analysis, planning or data extraction
Combine individual agents into a scalable multi-agent system, test the full system using a practical application and write a scientific report on your results

Education: You are successfully studying for a master's degree in engineering, such as mechanical engineering, electrical engineering, industrial engineering or mechatronics, computer science, business informatics or a related subject
You have solid existing knowledge of production technology and engineering processes
You understand AI concepts, agent-based architectures and semantic modelling, such as ontologies and knowledge graphs
You have good programming skills, for example in Python
Working style: You think analytically, focus on solutions and take initiative when tackling complex questions
Languages: Very good spoken and written German and English

Interesting research and development projects that put your theoretical knowledge into practice
Individual guidance and support from experienced experts in your field
Access to the latest technologies, laboratories and resources
Many opportunities to contribute your ideas and help shape the work
Excellent career opportunities through contact with potential employers

Carry out extensive research and analyse the latest developments in multi-agent systems, agentic workflows and ontologies in industrial engineering and production
Analyse existing engineering and production processes and identify relevant ontology standards and knowledge areas
Design a shared engineering ontology that provides a semantic knowledge base for agents working across different fields
Develop and implement targeted proofs of concept for specialised agent systems, such as analysis, planning or data extraction
Combine individual agents into a scalable multi-agent system, test the full system using a practical application and write a scientific report on your results

Education: You are successfully studying for a master's degree in engineering, such as mechanical engineering, electrical engineering, industrial engineering or mechatronics, computer science, business informatics or a related subject
You have solid existing knowledge of production technology and engineering processes
You understand AI concepts, agent-based architectures and semantic modelling, such as ontologies and knowledge graphs
You have good programming skills, for example in Python
Working style: You think analytically, focus on solutions and take initiative when tackling complex questions
Languages: Very good spoken and written German and English

Interesting research and development projects that put your theoretical knowledge into practice
Individual guidance and support from experienced experts in your field
Access to the latest technologies, laboratories and resources
Many opportunities to contribute your ideas and help shape the work
Excellent career opportunities through contact with potential employers