Team Leader Distributed Cooperative Systems – Robotics, Computer Science (m/f/d)

Research into distributed decision architectures and cooperative swarm strategies for autonomous underwater systems. From the sea floor to the air – the networked, autonomous and robotic systems from tomorrow! – Whether under water, surface or air: The future of maritime safety lies in the intelligent cooperation of distributed systems. Autonomous swarms and system alliances offer enormous potential – from resilient security applications to adaptive rescue networks to large-scale environmental monitoring. It is crucial that each individual system not only works reliably, but acts intelligently in the composite. Design the next generation of distributed, autonomous systems – with a focus on decision-making, cooperation and swarm intelligence under water. – In our interdisciplinary team you work at the interface of artificial intelligence, robotics and safety-critical systems. The focus of your activity is on research and development of decision architectures and interaction mechanisms for autonomous systems in the maritime context. You develop new concepts, prototypes and system architectures and use them together with your team – in laboratory environments and in real use conditions. Your tasks You take over the technical and organizational management of a dynamic team of software developers, data scientists and system engineers with a focus on decision logic, swarm behavior and agent interaction. You define and tax research and development projects for the decision-making of autonomous systems in the context of water, air and land. You develop decision-making architectures and cooperation strategies for swarms and hybrid system alliances together with your team. You coordinate the connection of your work to cross-border navigation, communication and sensor networks and work closely with neighbouring teams. You prepare technology testing, accompany experiments and secure scientific and technical documentation. You will present the research results in specialised bodies and conferences, submit applications for funding and represent the topics to industrial partners, authorities and international networks.

completed academic studies (Master or Diploma University) in the field of engineering or natural sciences (e.g. computer science, robotics, electrical engineering, mechatronics, physics) or other disciplines relevant to the activity relevant experience in the development of autonomous systems, AI-based robotics and/or intelligent multi-agency systems, e.g. B. acquired in the field of safety-critical applications deepened experience in the design and implementation of complex experiments, prototypes and system tests a structured, independent operation and proven scientific or engineering excellence, e.g. by doctoral or senior activity in research-related business relevant experience in the guidance on scientific and technical work, for example through technical management tasks in projects or supervision of final work many years of experience in dealing with interdisciplinary teams and/or external partners very good knowledge of German in word and writing as well as knowledge of English Remuneration takes place according to qualifications and assignments up to 14 TVöD.

DLR stands for the diversity, appreciation and equality of all people. We promote independent work and the individual further development of our employees in the personal and professional environment. Our numerous continuing and continuing training opportunities are available to you. Opportunity is a particular concern to us, so we want to increase the proportion of women in science and leadership in particular. We prefer applications of severely disabled people with professional suitability. .