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Thesis/ Internship: Data Analysis Pipelines for Reusable Launch Vehicles
Job Description
Req ID:  466
Place of work:  Bremen
Starting date:  01.04.2025
Career level:  Internship
Type of employment:  Full-time
Duration of contract:  6 months

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

 

The Institute of Space Systems in Bremen is dedicated to designing and analyzing future spacecraft and space missions, including launchers, orbital and exploration systems, and satellites. Our evaluations focus on the technical feasibility, performance and costs of these systems, utilizing a range of cutting-edge, multi-disciplinary engineering methods.

 

 

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; 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!

What to expect
We are looking for a motivated student with experience and a strong interest in the fields of data science, machine learning, and workflow orchestration. As part of this role, you will design, implement, and test components of data analysis pipelines for reusable launch systems. These pipelines will complement other in-house developments and digitalization initiatives, such as COOPERANTS. The overarching objective is to determine and assess the flying qualities of ongoing demonstrator projects, such as CALLISTO and ReFEx, based on in-flight data.

 

Your tasks
We currently offer several possible topics for a final thesis or an internship. Please specify in your application which topic aligns best with your interests:

  • Definition of data pipeline architecture and infrastructure for flight data exploitation
  • Deployment of engineering models as containerized applications as-a-service
  • Exploitation of project document libraries using LLM agents
  • Bayesian inference of aerodynamic parameters from numerical and experimental datasets

 

Your profile

  • enrolled bachelor or master student in a relevant field (data science, computer science, mathematics, engineering, etc.)
  • fulfillment of personal requirements for handling export-controlled goods, especially in accordance with the EU Dual-Use Regulation, national export control regulations, and EAR
  • profound programming and software engineering skills, particularly with Python, GitLab, Linux (Bash), Docker and Docker-Compose
  • experience with software libraries from the machine learning ecosystem, e.g. Pandas, Scikit-learn, PyMC, LangChain, Ollama, Streamlit, Prefect, Airflow, or similar
  • good English proficiency
  • German proficiency would be a plus
  • background in aerospace engineering would be a plus
     

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 466) please contact:

 

M. Sc. Sven Krummen

Telefon +49 421 24420 1288
Apply now