PhD in Applied Mathematics

Ready to shake things up in aerospace manufacturing? Join us in developing next-gen quality assurance methods for 3D-printed metal parts using vibrations, AI and physics-informed models, and help make additive manufacturing safer, smarter, and more reliable. This PhD project, part of a Dutch Research Council (NWO) Open Technology programme, is a collaboration between TU Delft, the University of Groningen, and Queen Mary University of London. At TU Delft, you will lead the development of a vibrational Non-Destructive Testing (NDT) approach that leverages AI to assess metal parts after the printing process. In this PhD position you will combine mechanics, data science, AI, and experimental testing. You’ll design and run experiments, write and train algorithms, and contribute to open-source tools that may one day become industry standards. This project offers the freedom to explore fundamental questions while also building technologies that could transform quality assurance in aerospace-grade 3D printing. At TU Delft, you will be embedded in a supportive, interdisciplinary team with access to state-of-the-art lab facilities and collaborations across faculties.