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Data Science Intern for Launch Vehicle Analysis

vor 3 Monaten


Bremen, Bremen, Deutschland Deutsches Zentrum für Luft- und Raumfahrt (DLR) Vollzeit

Join the Innovative Team at the German Aerospace Center (DLR)

Step into the captivating realm of the German Aerospace Center (DLR) and contribute to shaping the future through research and innovation. With the expertise and curiosity of our employees from over 100 nations, along with our unique infrastructure, we provide an exciting and inspiring work environment. Together, we develop sustainable technologies to address global challenges. Are you ready to tackle this significant future task with us? Your place is here.

Position Overview:

Our Institute of Space Systems in Bremen is focused on the design and analysis of future spacecraft and space missions, which include launch vehicles, orbital systems, exploration systems, and satellites. Our assessments emphasize the technical feasibility, performance, and cost-effectiveness of these systems, employing a variety of advanced, interdisciplinary engineering techniques.

We are in search of a driven student with a background in data science, computer science, engineering, or a related field. In this position, you will be responsible for designing, implementing, and testing components of a data analysis pipeline tailored for reusable launch systems. These pipelines will enhance other internal developments and support ongoing demonstrator projects. The primary goal is to evaluate and analyze the flight characteristics of these vehicles using in-flight data.

Available Topics for Internship or Thesis:

  1. Designing data pipeline architecture for the utilization of flight data.
  2. Implementing engineering models as containerized applications.
  3. Leveraging project document libraries through LLM agents.
  4. Conducting Bayesian inference of aerodynamic parameters from both numerical and experimental datasets.

Candidate Requirements:

  • Currently enrolled as a bachelor or master student in a relevant discipline (data science, computer science, mathematics, engineering, etc.).
  • Strong programming and software engineering skills, particularly in Python, GitLab, Linux (Bash), Docker, and Docker-Compose.
  • Proficient in English.
  • Ability to meet personal requirements for handling export-controlled goods, in compliance with EU Dual-Use Regulation and national export control laws.
  • Familiarity with software libraries from the machine learning ecosystem is advantageous, such as Pandas, Scikit-learn, PyMC, LangChain, Streamlit, Airflow, or similar.
  • A background in aerospace engineering is a plus.
  • Proficiency in German is an additional advantage.

Our Commitment:

DLR stands for diversity, appreciation, and equality for all individuals. We promote independent work and the personal and professional development of our employees. Numerous training and development opportunities are available to support this. We are particularly committed to increasing the representation of women in science and leadership roles. Applications from individuals with disabilities are encouraged and will be prioritized if they meet the required qualifications.

Additional Information:

  • Duration: 6 months
  • Compensation: Based on qualifications and assigned responsibilities, up to pay group 05 TVöD.
  • Reference Number: 95406