Work environment

At Volkswagen Group Innovation, we are driving the future of robotics through innovative research and solutions. We envision robots not only enhancing human capabilities but also delivering unprecedented efficiency and adaptability, solving complex challenges with ease. We invite talented and motivated university graduates to join us on this exciting journey in the context of a doctoral dissertation. At Volkswagen Group Innovation, you will not only have the opportunity to contribute to groundbreaking projects that redefine robotics but also gain hands-on experience working with cutting-edge technology. Be part of a team shaping a future where human potential is amplified by advanced robotics to drive progress and improve lives. Together, we are shaping the future today.

Possible tasks in this role

• Researching and developing methods for coordinating autonomous robots in connected production environments, focusing on decentralized decision-making and multi-agent systems
• Designing and implementing real-time capable AI algorithms for planning, navigation, and dynamic task allocation
• Applying reinforcement learning, edge AI, and sensor fusion to create adaptive systems for changing environments
• Using digital twins and Sim2Real transfer to efficiently translate simulation results to real-world robotic platforms
• Developing and integrating multimodal control concepts (e.g., Vision-Language-Action Models) and designing intuitive human-robot interactions in collaborative scenarios

The final doctoral topic is defined together with the professor. The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor of a university or research institution entitled to confer a doctorate.

Qualification requirements

• Good to very good university degree qualifying for doctoral studies in computer science, robotics, electrical engineering, mechanical engineering, or related fields
• Solid knowledge in at least one of the following areas: machine learning / deep learning, robotics / ROS / control engineering, computer vision
• Programming experience (e.g., Python, C++, ROS)
• Interest in interdisciplinary research and complex systems
• Independent, structured working style combined with strong team skills
• Ideally, initial experience with real robotic systems or simulations (e.g., Gazebo, Isaac Sim, Omniverse)

Keywords

Autonomous robotic systems, multi-agent coordination, VLAM

Work environment

At Volkswagen Group Innovation, we are driving the future of robotics through innovative research and solutions. We envision robots not only enhancing human capabilities but also delivering unprecedented efficiency and adaptability, solving complex challenges with ease. We invite talented and motivated university graduates to join us on this exciting journey in the context of a doctoral dissertation. At Volkswagen Group Innovation, you will not only have the opportunity to contribute to groundbreaking projects that redefine robotics but also gain hands-on experience working with cutting-edge technology. Be part of a team shaping a future where human potential is amplified by advanced robotics to drive progress and improve lives. Together, we are shaping the future today.

Possible tasks in this role

• Researching and developing methods for coordinating autonomous robots in connected production environments, focusing on decentralized decision-making and multi-agent systems
• Designing and implementing real-time capable AI algorithms for planning, navigation, and dynamic task allocation
• Applying reinforcement learning, edge AI, and sensor fusion to create adaptive systems for changing environments
• Using digital twins and Sim2Real transfer to efficiently translate simulation results to real-world robotic platforms
• Developing and integrating multimodal control concepts (e.g., Vision-Language-Action Models) and designing intuitive human-robot interactions in collaborative scenarios

The final doctoral topic is defined together with the professor. The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor of a university or research institution entitled to confer a doctorate.

Qualification requirements

• Good to very good university degree qualifying for doctoral studies in computer science, robotics, electrical engineering, mechanical engineering, or related fields
• Solid knowledge in at least one of the following areas: machine learning / deep learning, robotics / ROS / control engineering, computer vision
• Programming experience (e.g., Python, C++, ROS)
• Interest in interdisciplinary research and complex systems
• Independent, structured working style combined with strong team skills
• Ideally, initial experience with real robotic systems or simulations (e.g., Gazebo, Isaac Sim, Omniverse)

Keywords

Autonomous robotic systems, multi-agent coordination, VLAM