Internship or thesis (Bachelor/Master) in the field of Robotics and AI for Autonomous Flying

Are you ready to actively shape the future of autonomous aviation and work on groundbreaking robotics and AI projects? At the Fraunhofer Application Center for "Connected Mobility and Infrastructure" in Ingolstadt, a unique opportunity opens up for you: Explore the potential of sensors, AI, and actuators to revolutionize autonomous flight systems. In close collaboration with leading industry partners, you will ensure that your research results can be translated into practice, making a real difference. This position offers you the chance to actively contribute to groundbreaking technologies and to implement cutting-edge research approaches in autonomous flying. Seize the opportunity to work on highly relevant and practical research projects and experience interdisciplinary research at the forefront of technological innovation. With access to state-of-the-art embedded systems, drones, and sensors, you can fully unleash your ideas. We provide you with specialist supervision at the highest level to best support your personal and professional development.

What you will do

As an intern or as part of your thesis, you will become part of our dedicated team and work with state-of-the-art technology on
exciting projects in the field of robotics for autonomous aviation. Implement your own robotics projects and immerse yourself in
innovative research fields, including:

• Implementation of various functional pipelines such as
  • Autonomous landing in outdoor areas
  • Autonomous landing on hubs / landing sites
  • GNSS-denied navigation
  • (Cooperative) path and trajectory planning
  • Cooperative localization of drone teams
  • Mission intelligence for autonomous decision-making
• Fusion, modeling, and construction of complex sensor systems
• Automatic calibration and synchronization of sensors
• Generation of unique multimodal datasets
• Sensor data fusion: Early, Mid, and Late Fusion
• Implementation of swarm functions and communication in the swarm
   

What you bring to the table

• Enrolled in one of the following or related fields of study (Bachelor/Master): Mechatronics, Electrical and Information Engineering, Cybernetics, Robotics, Computer Science, Data Science, Mathematics, Physics, or a related subject area
• Very good academic performance
• Experience from previous own research work or courses in robotics and embedded systems
• Experience in the field of sensors, path / trajectory planning, or sensor data fusion
• Knowledge of programming languages such as Python and experience with ROS2
• Passion for research and solving complex problems
• Structured, independent and results-oriented way of working
• Excellent communication skills and ability to work in a team

What you can expect

• Challenging tasks in cutting-edge and application-relevant subject areas
• Interdisciplinary research on promising technologies
• Access to state-of-the-art computing resources and a high-performance infrastructure
• Professional supervision
• Flexible working hours

The weekly working time is 39 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Remuneration according to the general works agreement for employing assistant staff.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Interested? Apply online now. We look forward to getting to know you!

Please include a short motivation letter with your application and specify your desired topic for the thesis. Our proposed topic doesn't quite match your interests and skills? No problem! Feel free to suggest your own idea, and together we'll find the best fit.

If you have any questions, please contact: bewerbung.studenten@ivi.fraunhofer.de
You can find more information on the institute online: www.ivi.fraunhofer.de/en

Fraunhofer Institute for Transportation and Infrastructure Systems IVI 

www.ivi.fraunhofer.de 

Requisition Number: IVI-Hiwi-00751