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Master's Student (f/m/x) - Development of an AI-Agent for conceptual design phase of road vehicles
Job Description
Req ID:  5345
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

We are looking for you in our team to contribute to the development of a chat bot used for vehicle development. Nowadays, Large Language Models (LLMs) are playing a significant role in processing large amount of knowledge and making it easily accessible to the users. For this reason, in almost every field and major industry, LLMs are being leveraged to perform different tasks, like for instance customer service, translation, etc. The remarkable capabilities of LLMs can be also exploited in engineering fields to help and guide engineers in their tasks. Moreover, LLMs can considerably facilitate the knowledge transfer process across different engineering teams. For these reasons, the aim of this master thesis is to integrate LLMs in engineering workflows and processes.


Your tasks

  • Research on Model Context Protocol (MCP)
  • Building an AI-Agent based on a Retrieval-Augmented Generation (RAG) system and knowledge graphs
  • Integrating MCP with AI-Agent


Your profile

  • Student from the field of mechanical, mechatronics engineering or similar engineering/scientific discipline
  • Good written and spoken English or German skills 
  • Very good Python knowledge (keywords: LangChain, Ollama, embeddings, Chroma, …)
  • Very good knowledge of RAG and knowledge graphs
  • Personal responsibility and commitment
  • Thorough, reliable and the ability to work independently

 

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 5345) please contact:

 

Mr. Charbel Mallah 
Phone.: 0711/6862 2431 

 
Apply now