Research Position in the field of digital twins for AI robotics

The EXPLORE funding project aims to provide interested scientists at Bielefeld University and other partners from science and industry with a high-performance infrastructure for research on AI-based robotic systems. These AI-based systems are modelled in the infrastructure as active digital twins on the basis of scalable graphics and AI accelerators, trained in a highly realistic digital environment and optimised in operation through interaction with the real world.

As part of this project, we are looking for an academic co-worker with sound knowledge in the areas of simulation and virtualisation of technical systems, as well as a research interest in mobile robotic systems.

The research work should be carried out both in the research infrastructure in the digital twin and in practical scenarios with physical robot systems in a tracking laboratory in order to systematically evaluate the gap between behaviour in the digital twin and in reality. As part of the Cognitive Systems Engineering team in the Faculty of Technology and CITEC, you will benefit from an exciting interdisciplinary research environment with excellent laboratory equipment in the CoR-Lab, as well as a strong network with connections to Fraunhofer IOSB-INA, university partners in Germany and abroad and contacts to research-related industry.

Your Tasks

• research tasks (75 %):

• modelling, simulation, design and integration of mobile robotic systems, realisation of active digital twins, evaluation of Sim2Real and Real2Sim transfer
• publications and presentations at scientific symposia

• teaching (20 %): Assistance in teaching and supervision of student work (Bachelor's and Master's theses)
• other tasks (5 %): Collaboration in organisational tasks of the EXPLORE project

Employment is conducive to scientific qualification and provides the opportunity for further academic development.

• completed scientific university degree in computer science, automation technology or related subject areas with good to very good grades
• sound expertise in two of the following areas: Autonomous systems, mobile robotics, simulation, Real2Sim / Sim2Real transfer, localisation
• good programming skills in C++, Java or Python
• experience with ROS/ROS2, Gazebo, IsaacSim or similar
• an independent, self-reliant and committed way of working
• cooperative and team-orientated way of working
• strong organisational and coordination skills
• good knowledge of written and spoken scientific English
• good knowledge of written and spoken German

Preferred experience and skills

• Ability to work scientifically in the area of expertise

Pulled from the full job description

• Work from home

• Flexible schedule, * salary according to Remuneration level 13 TV-L

• fixed-term limited until 31.07.2027 (§ 2 (1) sentence 1 of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of contract may differ in individual cases)

• fulltime

• internal and external training opportunities

• variety of health, consulting and prevention services

• reconcilability of family and work

• exciting, varied tasks

• open and pleasant working atmosphere

• flexible working hours

• option to work remotely in accordance with the employment agreement

Bielefeld University has received a number of awards for its achievements as an equal-opportunity employer and has been recognized as a family-friendly university. The university welcomes applications from women. This is particularly true with regard both to academic and technical posts as well as positions in information technology as well as the skilled crafts and trades. Applications are handled according to the provisions of the state statutes on equal opportunity. Applications from suitably qualified handicapped and severely handicapped persons are explicitly encouraged. At Bielefeld University on request positions can be carried out with reduced working hours as long as this does not conflict with official needs. open as PDF