Technische Universität Berlin invites applications for a Research Assistant position within a project developing FAIR-compliant hybrid modelling frameworks integrated with automated robotic biotechnology laboratories. The research combines mechanistic, statistical, and machine-learning models with high-throughput experimentation to enable traceable and reproducible workflows for sustainable Single Cell Protein (SCP) production. The role involves integrating MLOps pipelines, multi-objective optimisation, and automated experimental planning within autonomous lab environments. Applicants must hold a Master’s degree in physics, process engineering, data science, or a related field and comply with the MSCA mobility rule. The position offers the opportunity to pursue a doctorate.