Engineer Computer Science, Aerospace Engineering or similar (f/m/x)

The Institute of Flight Systems Engineering in Braunschweig operates and researches a wide range of different unmanned aircraft. As part of a dynamic and dedicated team of researchers, you will investigate and develop methods for the on-board decision-making and autonomy of unmanned multicopters, helicopters and fixed-wing aircraft. With the team, you will pursue the vision of enabling increasingly complex missions of drones, from humanitarian aid to inspection and reconnaissance tasks to wounded transport in crisis areas.

The methods you research contribute to the use of unmanned aircraft in complex environments. You develop models and abstraction layers for missions and tasks of unmanned aircraft and develop algorithms to perform them automatically. In this context you approach the high safety requirements of aviation and apply methods from the fields of machine learning, knowledge-based methods and symbolic artificial intelligence. You will implement your ideas and approaches using various openly available libraries (e.g. boost, ROS, ompl, tensorflow, pytorch) with the help of different high-level languages such as C/C++, Python or Matlab/Simulink. Your task is complemented by embedding your developments in the safety-critical applications of aviation. As an example, formal methods and the verification and validation of the procedures with reference to industry standards are applied.

For the development of technology demonstrators for chosen on-board decision systems, you will face both exciting, practical and theoretical challenges. In simulation environments and on flight test carriers, you can test your developments in a practical and systemic way. By publishing your scientific results, you will provide an important contribution to topics such as mission and motion planning, application-driven trajectory optimization as well as tactical and game-theoretical decision problems. We support ambitions towards achieving a Ph.D.

  • completed scientific university studies in the field of engineering (electrical engineering, robotics, aerospace engineering) or computer science 
  • extensive knowledge in several of the following areas: machine learning, symbolic AI, graph search, motion planning, dynamic optimization and formal methods 
  • willingness and interest to independently develop the other areas mentioned above 
  • programming skills in at least one high-level language, ideally C++. Other programming and scripting languages such as Rust, Matlab/Simulink or Python are an advantage. 
  • interest in complex automation systems and technical autonomy in general
  • very good English language skills
  • scientific and independent way of working, motivation, ambitious and a creative drive
  • expertise and interest in the areas of verification and standards from aviation (for example DO-178C) make you stand out from competitors
  • practical experience in the field of embedded systems (hardware and software development) and autopilots desirable 

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x).Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

DLR - Helmholtz / Deutsches Zentrum für Luft- und Raumfahrt

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No deadline
Location: Germany, Braunschweig
Categories: Aerospace Engineering, Computer Engineering, Computer Sciences, Electrical Engineering, Legal connectivities with respect to gender and re, Machine Learning, Robotics,


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