Master Thesis (d/m/w) im Bereich der Faserverbundfertigung

Develop a machine learning model to identify defects based on thermocouple measurement curves and predict faulty components for proactive maintenance recommendations. Analyze historical data to detect drift phenomena and anomalies, then plan, execute, and evaluate manufacturing trials and coupon tests. Conduct literature research on energy- and material-efficient laying and curing processes, define relevant experimental parameters, and establish an appropriate test matrix. Document all findings in a scientific report. This six-month Master thesis at Airbus Aerostructures in Stade focuses on advancing composite manufacturing technologies for aircraft structures, including wing skins and fuselage sections.