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Student Assistant (f/m/x) - LLM-based Defect Management
Job Description
Req ID:  1643
Place of work:  Hamburg
Starting date:  01.07.2025
Career level:  Student employment
Type of employment:  Part time
Duration of contract:  6 Monate

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 11,000 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 DLR Institute of Maintenance, Repair and Overhaul (MRO) advances aviation through excellent research and technology transfer. Guided by the vision “We Maintain Mobility for a Sustainable Future,” the institute focuses on lifecycle analytics, maintenance technologies, and digital process optimisation to improve technical operations in aviation.

What to expect

In the Department of Process Optimisation and Digitalisation at the DLR Institute of Maintenance, Repair and Overhaul you will find a dynamic team of scientists. We research and develope new concepts for a digitalised maintenance of tomorrow. This includes e.g. digital twins, methods for data analysis and condition monitoring and prediction, new approaches for an automated interaction of stakeholders, AI methods as well as methods for a dynamich process modelling and simulation.

 

Your tasks

Today, Aircraft digital knowledge can be found in various data sources, e.g. maintenance records, and maintenance manuals. In order to make this knowledge accessible, it must be prepared and linked together. You will support the development of an AI-based defect management system for the aircraft maintenance industry by creating end-to-end AI solutions from text mining to deploying a domain-specific virtual assistant using state-of-the-art tools and techniques.

 

Your profile

  • ongoing Master's degree study in computer science, data science or a comparable degree program

  • experience with Python and ML frameworks

  • familiarity with MLOps, LLMOps (Docker, Git, CI/CD)

  • knowledge of NLP, text analytics, OCR tools, LLM APIs, RAG, Langchain

  • language skills: German and English

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 1643) please contact:

Florian Raddatz 
Tel.: +49 40 2489641 120 
Apply now