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As part of the Group IT for Production and Logistics, we are responsible for software deployed across the entire process chain and are actively shaping the transformation toward AI-supported, data-driven production. Our team conducts research at the intersection of industrial robotics and modern AI methods with the goal of bringing autonomous systems into real manufacturing environments.As part of your internship (minimum 6 months) or thesis, you will explore how modern learning-based approaches can meet the specific requirements of automotive final assembly, ranging from data collection to the evaluation of real manipulation tasks. If you are pursuing a master's thesis, the task definition and research questions will be determined together with your supervising professor after confirmation of supervision. Your results will directly contribute to the development of the next generation of autonomous assembly systems.
Job Responsibility:
Setting up and commissioning collaborative robots and sensor systems in an experimental research environment
Researching and analyzing current literature on learning-based methods for robotic manipulation
Practically investigating data-driven deep learning approaches for controlling real robot systems for a selected use case in automotive final assembly
Collecting, structuring, and evaluating demonstration data under industrial conditions
Assessing the performance of trained models based on self-developed or predefined evaluation criteria
Documenting and presenting results
Requirements:
Master's students in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a comparable field
Very good to good academic achievements
Strong analytical and conceptual skills as well as familiarity with scientific methods
Ability to work independently as well as in interdisciplinary teams, high motivation
Good knowledge of machine learning and neural networks as well as practical experience with PyTorch in research projects
Solid programming skills in Python and basic knowledge of Linux
Ideally experience with ROS / ROS 2, robot simulations (e.g. Isaac Sim, MuJoCo, Gazebo) or fundamentals of robotics
German or English at proficiency level C1
Nice to have:
Experience with ROS / ROS 2, robot simulations (e.g. Isaac Sim, MuJoCo, Gazebo) or fundamentals of robotics
What we offer:
30 vacation days + 24.12. and 31.12. off
35-hour week
Company pension
Flexible working hours
Mobile working
Training and consulting offers
Special conditions for the purchase and leasing of vehicles