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Master's student (f/m/x) - Semantic Modeling of Robotic Additive Manufacturing Digital Process Chain
Job Description
Req ID:  5486
Place of work:  Stuttgart
Starting date:  asap
Career level:  Student research project and final thesis
Type of employment:  Part time
Duration of contract:  6 months

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 12,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

The Institute of Vehicle Concepts (FK) of the German Aerospace Centre (DLR) is internationally recognized for the design of future road and rail vehicles that enable climate and environmentally friendly mobility while being affordable and user-friendly at the same time.

We research and demonstrate the required key technologies and maintain close cooperation with other scientific institutions as well as industrial and political bodies.

 

What to expect

The DLR Institute of Vehicle Concepts researches novel vehicle structures. Certain structural parts for these vehicles are manufactured with Robotic Screw Extrusion Additive Manufacturing (SEAM). Robotic SEAM is a novel 3D manufacturing process facilitated by Yizumi Space A hybrid manufacturing cell.
The digital process chain to produce components with Robotic SEAM spans from CAD geometry, through slicing, digital twin simulation, the generated production program, down to the production data captured during the build. Each stage produces heterogeneous information that is rarely connected in a machine-interpretable way. This thesis is positioned as a foundational building block toward a cognitive twin for robotic AM in order to enhance interoperability.


Your tasks

  • Familiarizing with the Robotic SEAM setup, digital twin, existing ontology, and the digital process chain
  • Leveraging ontologies for semantic representation of data sources, interoperability, data integration and knowledge sharing
  • Review modeling approaches for temporal knowledge in knowledge graphs and select/adapt a suitable approach 
  • Working with and integrating Digital Twin 
  • Design and implement a knowledge-graph-grounded RAG interface
  • Validate the framework and traceability

 

Your profile

  • Masters Student majoring in Data Science, Informatics, Mechatronics, Computer Science or relevant
  • Proficiency in Python programming language, data processing, RAG and interested in LLM
  • Interest in robotics, semantic technology and AI
  • Advantageous to have prior knowledge of Additive Manufacturing, and familiarity with RoboDK or willingness to learn
  • Independent, structured and responsible way of working

 

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

 

If you have any questions about this position (Vacancy-ID 5486) please contact:

 

Mr. Pradnil Kamble 
Phone.: +49 711 6862 8471 

 

 
Apply now