Research Associate (Scientific Staff) | Mitarbeiterin / Mitarbeiter (w/m/d) in der Wissenschaft

Job Summary

This role is situated at the Institute for Mechanical Process Engineering and Mechanics (MVM) within a major DFG research program (SPP2364) focused on autonomous processes in particle technology. The successful candidate, potentially pursuing a doctoral degree, will be responsible for developing an autonomous control system for CO2 mineralization using alkaline waste materials. Day-to-day tasks involve deep diving into the filtration and leaching of metal ions from suspensions, and mastering hybrid modeling approaches to mathematically describe the leaching reactor and filtration processes. A core responsibility is researching strategies to link AI models with physics-based models to accurately predict real process behavior in autonomous operation. You will continuously expand the methodology, integrate these hybrid models into the process control system, and validate the autonomous operation under fluctuating input streams, ultimately evaluating the improved CO2 balance of the process chain. Key qualifications include a strong Master's degree in a relevant engineering or computer science discipline and proficiency in data analytics and numerical simulation.