Research Associates in the field of AI-based Robotics

Our vision is to create adaptive, networked, and human-centered robotics systems that make industrial processes more intelligent and provide targeted support for human work. To this end, we combine modern AI methods with robust distributed architecture concepts and a clear focus on safety, comprehensibility, and practical applicability. We offer a unique profile: intelligent, scalable robotics that is not only powerful, but also collaborative, explainable, and ergonomically effective. In research and teaching, we rely on interdisciplinary approaches, open collaboration, and prototypical implementations to responsibly anchor AI-based robotics in industry.

Your tasks

• You will conduct research and development in the field of AI-based robotics on a topic to be agreed upon with the chair. Individual strengths and preferences will be taken into account.
• You will apply for and work on research projects.
• You will publish research results and participate in national and international conferences.
• You will support university teaching (preparation and implementation of courses as well as supervision of student work).

Do you have experience in Teaching?, Do you have a Master's degree?, * You have a university degree (master's or equivalent) in computer science, technical computer science, electrical engineering, mechatronics, or a similar field of study.

• Advanced knowledge of robotics (mobile/stationary robotics, kinematics, dynamics, (path) planning, probabilistic methods, etc.) as well as in-depth knowledge of machine learning
• Practical experience in several of the following areas: sensor data processing, computer vision, ROS1/ROS2, gripper systems, industrial robot programming, safety technology for robotics
• Excellent programming skills (C++ and/or Python)
• You are flexible, resilient, and able to work well in a team.
• At the same time, you have a high degree of independence and willingness to familiarize yourself with new topics.
• You have good skills in abstraction, modeling, and creative problem solving.
• Very good written and spoken German and English skills
• You are pursuing a doctorate.

• Work on exciting future-oriented research topics in an inspiring work environment as part of the university community
• A vibrant campus life in an international atmosphere with lots of intercultural offers and international cooperations
• Pay in accordance with the collective agreement TV-L (a special payment at the end of the year as well as a supplementary benefit in the form of a company pension, comparable to a company pension in the private sector) including 30 days' vacation per year
• Flexible working and part-time options and a family-friendly university culture, awarded the "Family-friendly university" audit since 2007
• Special continuing education programs for young scientists, a postdoc program, as well as other offerings from the Central Personnel Development Department and sports activities.

With around 16,000 students and 3,800 employees, the Technische Universität Braunschweig is one of Germany´s leading institutes of technology. It stands for strategic and performance-oriented thinking and acting, relevant research, committed teaching, and the successful transfer of knowledge and technologies to the economy and society. We consistently advocate for family friendliness and equal opportunities. Our research focuses are mobility, engineering for health, metrology, and city of the future. Strong engineering and natural sciences are our core disciplines. These are closely interconnected with economics, social and educational sciences and humanities. Our campus is located in the midst of one of the most research-intensive regions in Europe. We work successfully together with over 20 research institutions in our neighborhood as we do with our international partner universities., The new AI-based Robotics professorship at the Institute of Robotics and Process Informatics will start in April 2026. We are shaping the future of intelligent, industry-ready robotics systems. Based on our expertise in applied machine learning for industrial robotics, distributed automation and control systems, human-centered assistance, and cognitive ergonomics, we develop AI-driven robotics that integrates seamlessly into real-world working environments.