PhD Position: Data-Driven Digital Twins for Flexible Demanufacturing Systems

This PhD position at KU Leuven focuses on developing next-generation data-driven digital twins for flexible demanufacturing systems. The research aims to create digital twins that serve as effective decision-support systems within re- and demanufacturing environments, integrating seamlessly with existing software, databases, and control systems. The project will explore advanced methods to enhance simulation-based digital twins, particularly through discrete event simulation, data-driven model generation (such as object-centric process mining), and physical-to-digital alignment. Special attention will be given to the use of Digital Product Passports and online measurements to improve the accuracy and adaptability of digital twins. The successful candidate will join a multidisciplinary research group in the Department of Mechanical Engineering at KU Leuven, renowned for its expertise in digital twins for manufacturing systems. The group collaborates closely with industry and focuses on both discrete manufacturing and demanufacturing processes. The PhD is linked to the funded C+ project DIGITAU (2 years of funding), which complements the C2 project AUDRI. These projects focus on integrating process-level information from incoming products to update prediction models within a Digital Twin Framework, ultimately aiming to industrialize disassembly plants through adaptive digital twins. As a PhD researcher, you will critically evaluate existing literature, patents, and company releases to identify opportunities for novel contributions. You will develop innovative methods and algorithms for digital twin architectures, organize and conduct experiments in KU Leuven’s state-of-the-art laboratories, and disseminate your findings at project meetings, international conferences, and in high-quality scientific journals. The position offers a stimulating, multi-disciplinary environment with a strong industrial network and the opportunity to build an international academic track record. Applicants should hold a Master’s degree in Science, Engineering, or an equivalent field with a high GPA. The ideal candidate is creative, proactive, and eager to work in a diverse, international team. Fluency in English is required. The position offers an attractive salary package and a supportive, inclusive research environment. The expected start date is between March 1, 2026, and May 1, 2024. The application deadline is January 7, 2026. To apply, use the online application form and submit a two-page research proposal, a three-slide presentation of your most relevant projects, and optionally a short video presentation. For further information, contact Prof. Giovanni Lugaresi at [email protected].