PhD Researcher - Hybrid Learning Control for Agent-Based Intralogistics Systems | PhD Researcher - (DC4) Hybrid Learning Control for Agent-Based Intralogistics Systems - CAVECORE (m/

Job Summary

This role offers a unique opportunity to join the CAVECORE European research network as a PhD Researcher focused on developing innovative hybrid machine learning control systems for modular conveyor technology. Day-to-day, you will research, implement, and validate algorithms on real production systems and embedded software platforms. You will analyze control strategies for intelligent intralogistics systems, publish your findings in international journals, and complete your doctoral dissertation. The position is highly collaborative, involving close cooperation with industrial partners and academic institutions across Europe, including mandatory research stays (secondments) in Bielefeld and York. What makes this position particularly attractive is the combination of high-level academic research with practical industrial application in a cutting-edge robotics company. You will benefit from a diverse, international team environment, state-of-the-art hardware, and a strong focus on personal development within a Marie Skłodowska-Curie Actions (MSCA) framework.