Student: Extension of a Flight Dynamics Simulation Framework (m/f/x)

Welcome to the Institute of Flight Systems. Our work focuses on the interaction between aircraft configuration, pilots and modern flight system technology. From flight dynamics to unmanned aerial vehicles, from simulation to real flight tests - we analyse, test and develop innovations that will shape the flying of the future.

What To Expect

The DLR research project UAdapt develops advanced technologies for adaptive unmanned aircraft systems. A key component of this work is the flight dynamics simulation framework PyFDM, which is used for the development, testing, and validation of flight control algorithms before deployment on real aircraft. PyFDM provides a flexible environment for modeling aircraft dynamics, integrating new vehicle concepts, and evaluating novel control approaches in simulation.

Within this internship, you will contribute to the further development of the PyFDM simulation framework. Depending on your interests and background, the specific topic can be tailored to your expertise. Possible areas include the implementation of new aircraft models, the extension of visualization capabilities, the integration of Hardware-in-the-Loop (HiL) interfaces, or improvements to the software architecture. Your work will directly support ongoing research on autonomous flight control and adaptive aircraft technologies.

Your tasks

• Extend and refactor the PyFDM flight dynamics simulation framework
• Design and implement new simulation features based on your interests and qualifications
• Improvement of the software architecture and maintainability
• Validate and evaluate the implemented functionality
• Document and present your results

Your profile

• Currently enrolled in a degree program in Aerospace Engineering, Computer Science, Mechanical Engineering, Mechatronics, or a related field
• Advanced programming skills in Python
• Basic understanding of flight dynamics and aircraft modeling
• Experience with software development and object-oriented programming
• Knowledge of Julia is an advantage
• Independent and structured way of working

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 5773) please contact:

Lennart Kracke

Tel.: +49 531 295 1022