Flight Software Internship - Landing Guidance Algorithm (MATLAB)

The Institute of Space Systems in Bremen designs and analyzes future spacecraft and space missions (launchers, orbital and exploration systems, and satellites), and assesses them with regard to their technical performance and cost. It applies state-of-the-art methods of multi-disciplinary engineering in system design and analysis – for example, a computerized system for concurrent design. The Guidance, Navigation and Control Systems Department focuses on the capability to analyze, design, develop, implement, simulate, test, and verify attitude and orbit control systems (AOCS) / guidance, navigation, and control (GNC) systems for space applications and their components. This involves a range of disciplines, including requirements management, systems engineering, algorithm development, software implementation, systems analysis/simulation/verification, and hardware-in-the-loop testing. The GNC Systems Department is also conducting research and development of promising and strategic technologies for AOCS and GNC systems.

What To Expect

You will join the G&C team developing an online landing guidance algorithm for reusable launch vehicles. Your role will focus on ensuring that the algorithm is robust, reliable, and easy to understand. You’ll design, implement, and maintain unit and integration tests, as well as author clear, concise documentation. The work will expose you to applied mathematics, optimal control theory, and the software engineering practices that make mission critical flight software safe and trustworthy.

Your tasks

• Review the current landing guidance codebase and identify testable modules
• Develop comprehensive unit and integration tests in MATLAB
• Improve code documentation, including user guides and algorithm descriptions
• Work with the G&C team in evaluating the performance of the landing guidance based on Monte Carlo campaign data as well as Processor-in-the-Loop tests
  
  

Your profile

• Current student in Aerospace Engineering, Mechanical Engineering, Applied Mathematics, Computer Science, or a related field
• Good knowledge of MATLAB & Simulink and how to write clean, maintainable code
• Strong foundation in optimal control theory
  
  

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 5629) please contact:

Henrik Harms

Tel.: +49 421 244201139