Research Scientist, Digital Twin and Corrosion Management | Biologe (m/w/d)

Job Summary

This role involves developing a sophisticated Digital Twin (DT) system to predict and manage corrosion, particularly Microbially Influenced Corrosion (MIC), within marine environments at the Federal Institute for Materials Research and Testing (BAM) in Berlin. The successful candidate will contribute to the DT architecture, create predictive simulation models, develop data processing and fusion algorithms, and integrate real-time sensor data. Key qualifications include a completed PhD in a relevant scientific or engineering discipline, coupled with proven experience in AI-supported modeling using tools like Scikit-learn or TensorFlow, and proficiency in software development (e.g., Python, Matlab). The position offers a responsible and varied role within national and international research networks, modern laboratory infrastructure, and excellent work-life balance options, including up to 60% mobile working.