Research Associate / Doctoral Candidate (m/f/d) “Model Predictive Control and Digital Twin for Filtration Processes”

About the Project

Join a research initiative in the field of Industry 4.0 and cyber-physical systems. The aim of the project is to develop a digital twin for precoat filtration processes and to use it within a model predictive control framework.

The project will develop a mechanistic model that uses real-time data to describe future process behavior and make it usable for optimized process operation. The focus is on the modeling, numerical implementation, and control-oriented use of this digital twin.

Your Profile

You have completed an above-average Master’s degree in process engineering, chemical engineering, mechanical engineering, technical mathematics, or a related field. We expect knowledge of mathematical modeling, numerical simulation, or control engineering, as well as programming experience, for example in Matlab or Python.

Our Offer

The position is available at the earliest possible date and is suitable for pursuing a doctorate.