Research Assistant

Together with 6900 students in the fields of technology and economy and 850 employees we shape the future. On our modern university campus, located in the middle of a strong economic and vivid region in the heart of Bavaria, we educate and qualify young people and work on new innovations.

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Research Assistant (M/F/d) Multi-agent Reinforcement Learning

Autonomous driving? Unmanned flying? Digital production? The AI mobility hub Ingolstadt AImotion Bavaria is dedicated to these research focal points. Become part of the team and change the future of AI-based mobility with us For more information, please visit:
Your tasks
- Optimality and distributed control structures in flight mission of multiple UAVs
- Research on the state of the art in the field of reinforcement learning such as requirements of reinforcement learning mechanism
- Communication graph structures and the graph Lyapunov equations
- Setup of a reinforcement learning environment consists of local NN topologies for unknown none linearities and building an End-to-End simulation framework with the goal of developing and testing RL-based algorithms
- Research on distributed control flight guidance in multi-agent systems and on the influence of communication of graph Laplacian potential functions
- Writing of scientific publications and participation in national and international conferences
- A doctoral project is welcomed and supported.

**Profile**:

- Master's degree or diploma in electrical engineering/aerospace engineering/ mechanical engineering/informatic or comparable field of study
- Strong background in mathematical analyses and problem formulation such as proved background, depending on the specific research area above, preferably in the research field of reinforcement learning, robust distributed navigation systems, path planning, sensor fusion techniques and multi node systems
- First experiences with the framework TensorFlow as well as the programming language Python, ideally tool knowledge in Gazebo/ROS 2
- Strong communication and teamwork skills, high level of initiative/responsibility and good organizational skills
- Very good knowledge of German or English (C1), both written and spoken

What we offer
- Working 40.10 hours per week, you will have the opportunity to turn your visions into reality in a state-of-the-art workplace.
- Over a period of 48 months your experienced doctoral supervisor will support you in all questions and concerns related to your doctorate.
- Great freedom in organizing your working day, through flexitime, teleworking, health promotion at the workplace as well as employee offers in the cafeteria and free employee parking make your everyday life easier.