Research Position - Working Group Prof. Dr. Klaus Neumann, Project "Railcampus OWL" sub-projekt 1.1.2
The Collaborative Robotics working group is concerned with the use of collaborative robot systems in industrial automation and beyond. The focus is particularly on reconfigurable systems, intelligent product transport and their data-based control and regulation in safe interaction with human production participants.
The project "Automated rail transport as a backbone for sustainable, networked mobility in rural areas" creates a technological framework for new automated, rail-based mobility concepts and demonstrates their interfaces with each other and with other modes of transport preferably in rural areas - in the vicinity of Minden railway station. Technological systems are being researched and pre-developed in the technological systems are being researched and pre-developed in the sub-project, which are to manage environment and obstacle recognition on the basis of methods of artificial intelligence and machine learning. The projects must be carried out on site for the most part. Physical exertion may be involved.
In the sub-project "Environment and Obstacle Detection", technological systems are being researched and pre-developed that allow extensive generation of data for the automated operation of rail vehicles (ATO). Close cooperation with the "Terrain Simulation" sub-project is desired.
The position will be filled subject to project approval.
Your Tasks
- developing an application-specific, prototype environment and obstacle detection system based on the fusion of extensive sensor technology in the near and far range using artificial intelligence methods (35 %)
- enabling a certain robustness of the detection algorithm against different speeds, times of day and night, weather conditions and seasons and hazardous situations (20 %)
- assessment of the coverage area of the sensor technology considering possible driving scenarios (20 %)
- assessing the limits and capabilities of the detection algorithm, especially in real-world use (test drives), incorporating temporally relevant sensor information to predict hazards that may occur in the future (25 %)
Employment is conducive to scientific qualification.
We offer
- salary depending on personal skills/qualification up to Remuneration level 13 TV-L
- fixed-term 3 years from recruitment (§ 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
- supplementary company pension
- collegial working environment
- open and pleasant working atmosphere
- various offers (canteen, cafeteria, restaurants, Uni-Shop, ATM, etc.)
Your Profile
We expect
- completed or neraly completed scientific university studies in a technical degree programme
- programming skills in Python
- knowledge in the field of mechatronic systems, sensor technology, optimisation
Preferred experience and skills
- knowledge in image processing
- knowledge of simulations
- knowledge of machine learning
- independent, self-reliant and committed way of working
- cooperative and team-oriented way of working
- willingness to be on site in Minden and Bielefeld
Application Procedure
We are looking forward to receiving your application. To apply, please preferably use our online form via the application button below.
application deadline: 21.12.2023
Contact
Prof. Dr. Klaus Neumann
0521 106-67750
klaus.neumann@uni-bielefeld.de
Postal Address
Universität Bielefeld
AG Kollaborative Robtik
Professor Dr. Klaus Neumann
Postfach 10 01 31
33501 Bielefeld