Research Associate | Wissenschaftliche:r Mitarbeiter:in (w/m/d)

Job Summary

This full-time research position at the University of Bremen's Institute of Automation Technology focuses on the 'Roesten_intelligent2' project. The successful candidate will conduct research into the modeling of various coffee roasting machines using Artificial Neural Networks (ANN) and the implementation of Model Predictive Control (MPC) to optimize energy efficiency. Day-to-day responsibilities include developing these models, collaborating closely with industrial partners, and authoring scientific articles for publication in peer-reviewed journals. This role is ideal for a researcher passionate about control theory and machine learning applications in industrial energy optimization. The position offers an attractive public service benefits package, including flexible working hours, mobile work options, and a supportive academic environment. It is a fixed-term opportunity starting in June 2026, providing a unique platform to contribute to sustainable industrial innovation within a highly-ranked German research university.