Scientist / Civil Engineer / IT Engineer / Data Scientist (m/f/d) | Naturwissenschaftler*in / Bauingenieur*in / IT-Ingenieur*in / Data Scientist (w/m/d)
Erftverband K.d.ö.R.
Job Summary
This role involves coordinating and managing the Rivercast project, focusing on enhancing flood detection and prediction using modern IoT sensors and AI-based models. The successful candidate will contribute to building an expanded IoT-based measurement network, integrating it into existing infrastructure, and further developing flood information and prediction systems. Key responsibilities also include developing and validating machine learning models for flood prediction and presenting project results. This position is ideal for professionals with a background in natural sciences, civil engineering, or IT/software engineering, preferably with expertise in water management or geosciences, who are passionate about sustainable water resource management and contributing to the structural transformation of water management in the Rhenish mining district.
Required Skills
Education
Completed university degree (Diplom(Uni/TH) / M. Sc.) in Natural Sciences, Civil Engineering, IT and Software Engineering, or similar fields, preferably with a background in water management, hydraulic engineering, or geosciences.
Experience
- Professional experience with IoT sensor technology and data architectures (from collection to application)
- Experience in machine learning / AI methods, preferably in hydrology
- Knowledge in the setup and operation of modeling and prediction systems
Languages
Additional
- Class B driving license required. The position is initially limited to 3 years. Location: Bergheim. Full-time or near full-time part-time possible.
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