Research Assistant - Ingolstadt, Deutschland - Technische Hochschule Ingolstadt

Technische Hochschule Ingolstadt

Geprüftes Unternehmen

Ingolstadt, Deutschland

vor 1 Tag

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

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.

Become part of our success

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 EndtoEnd simulation framework with the goal of developing and testing RLbased algorithms
Research on distributed control flight guidance in multiagent 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
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 stateoftheart 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.