Research assistant (m/f/d) Digital twins and AI for sustainable planning applications in North Rhine-Westphalia NRW
as soon as possible | temporary until September 30, 2028 | full time | Faculty of Automotive Systems and Production | Campus Deutz
That awaits you
- Development of a semantically segmented digital twin of North Rhine-Westphalia to support planning and decision-making processes in the areas of energy transition, mobility, and infrastructure
- Analysis, processing, and integration of geodata, aerial imagery and sensor data (e.g., ALS data, orthophotos, land cover data)
- Application and further development of deep learning methods for automated object recognition and classification in point clouds and 3D data
- Establishment of a data processing pipeline for the efficient creation and updating of digital twins
- Conducting application studies to evaluate the benefits of the developed solutions for partners from administration, research and industry
- Collaboration with interdisciplinary project partners, especially in the context of sustainable planning and logistics applications
- Support in the preparation of reports, presentations and project results within the framework of third-party funded projects
Your skills
- University degree (master's level); preferably in mechatronics, mechanical engineering, virtual product development, (geo)informatics or data science
- Experience in the practical application of artificial intelligence in planning, logistics, and infrastructure development
- Scientific research practice
- Ideally, experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and the processing of 3D or geodata
- In-depth knowledge of at least one programming language (e.g., Python, C++)
- Very good German and good English skills
- Independent, solution-oriented, and structured way of working
- Strong communication and cooperation skills
Our offer
- Remuneration according to EG 13 TV-L (tariff agreement for the public servants of the federal states)
- A doctorate related to the project is possible and desirable
- Flexible working hours and telework options
- Family-friendly working environment and conditions
- A wide range of training and continuing education opportunities for your professional and personal development
- Insights into interdisciplinary research contexts and the opportunity for further academic training
- Option to participate in university sports and health promotion programs
- University events (e.g. lectures, staff outing, readings, etc.)
- Close to public transport
- Annual extra payment according to TV-L
- 30 days paid vacation with a 5-day work week
TH Köln is committed to providing equal opportunities and seeks to increase the proportion of women in research and teaching. Thus, applications from women are given preferential consideration in case of equal suitability.
Applicants with disabilities and persons with comparable status are also given preference in case of equal suitability.
Applicants with disabilities and persons with comparable status are also given preference in case of equal suitability.
Please understand that we cannot cover any costs incurred by you as a result of the interview.
The position can also be performed part-time.
The position can also be performed part-time.
We look forward to receiving your application!
Application deadline: Feb 01, 2026
Application deadline: Feb 01, 2026
Your contact:
Ina Warwitz
T: 0221-8275-3241
E: ina_marie.warwitz@th-koeln.de
www.th-koeln.de/jobvacancies
Legal notice
Ina Warwitz
T: 0221-8275-3241
E: ina_marie.warwitz@th-koeln.de
www.th-koeln.de/jobvacancies
Legal notice
