Job Information
- Organisation/Company
- TH Köln - University of Applied Sciences
- Research Field
- Engineering
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Germany
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Part-time
- Hours Per Week
- 19,915
- Offer Starting Date
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
TH Köln is one of the most innovative universities of applied sciences and a member of the university alliance UAS 7. We offer 23,500 students and 1,000 academics from Germany and abroad an inspiring learning, research and work environment in the fields of engineering and humanities as well as social and natural sciences. TH Köln shapes social innovation - this is our approach to society’s challenges. Due to our interdisciplinary mindset and actions as well as our regional, national and international activities, we are a valued cooperation partner in numerous fields.
The project creates digital twins for urban green spaces, with AI-based human-machine interaction (e.g. ChatBot), in order to present complex relationships regarding site-specific climate and disaster prevention measures to decision-makers in a simplified manner.
as soon as possible | temporary up to 21.12.2026 | part time with 50% | Faculty of Process Engineering, Energy and Mechanical Systems | Campus Deutz
- Modeling of information models for a digital twin for green spaces and their implementation in Industry 4.0 system architectures
- Creation of a human-machine interface with which users can interact with the content of the digital twins
- Implementation of software environments for the creation of digital twins and for the integration of sensor data from the field level into the digital twins
- Development and implementation of AI models for processing semantic inputs and optimizing green space management
- Monitoring the project milestones
- Organizing and participating in specialist conferences and publications
- Presentation of results at national and international events
- University degree (Master's level) in computer science, automation technology, process control engineering, communications engineering, electrical engineering, energy and building services engineering or similar
- Basic knowledge of communication and information technologies
- Ideally experience in data preparation and training of AI models
- Knowledge of project management and organization desirable
- Programming skills
- Good knowledge of German or English
- Analytical skills and creativity
- Strong collaborative skills
- Independent and reliable way of working
- Remuneration according to EG 13 TV-L (tariff agreement for the public servants of the federal states)
- PhD with relation to the project is possible
- Flexible working hours and telework options by individual arrangement
- 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, summer party, etc.)
- Close to public transport
- Digital communication and work processes in your team
- 30 days paid vacation with a 5-day work week
Corina Czaja
T: 0221-8275-5183
Requirements
- Research Field
- Engineering
- Education Level
- Master Degree or equivalent
- Languages
- ENGLISH
- Level
- Good
- Languages
- GERMAN
- Level
- Good
- Research Field
- Engineering
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- TH Köln - University of Applied Sciences
- Country
- Germany
- City
- Cologne
- Postal Code
- 50679
- Street
- Betzdorfer Straße 2
Where to apply
- Website
Contact
- City
- Cologne
- Website
- Street
- Gustav-Heinemann-Ufer 54
- Postal Code
- 50968
- Phone
- 0049 221-8275-5183