Data-Driven Digital Twins for Flexible Demanufacturing Systems KU Leuven in Belgium

This PhD position at KU Leuven focuses on advancing data-driven digital twins for flexible demanufacturing systems. The ambition is to develop next-generation digital twins that serve as effective decision-support systems within re- and demanufacturing environments, integrating seamlessly with existing software, databases, and control systems. The research will explore methods to extend simulation-based digital twins, particularly discrete event simulation, and will emphasize data-driven model generation (such as object centric process mining) and physical-to-digital alignment. The added value of Digital Product Passports and online measurements will be investigated, with methods tested in both digital and realistic prototypical environments.

The project is linked to the funded C+ DIGITAU project (2-years funding), complementing the C2 AUDRI project. The focus is on integrating process-level information of incoming products to be disassembled, updating prediction models within a Digital Twin Framework. The ultimate goal is to achieve a Digital Twin that adapts to product features and process conditions, supporting the industrialization of disassembly plants.

The research group at KU Leuven’s Department of Mechanical Engineering has extensive experience in digital twins for manufacturing systems, with main industrial applications in discrete manufacturing processes, assembly lines, and re- and demanufacturing processes. The group’s ambition is to enable digital twins to become effective decision-support systems in production environments, achieving high integration with software, databases, and control systems.

As a PhD researcher, you will join a multidisciplinary team working on Digital Twins for Smart Manufacturing Systems under the supervision of Prof. Giovanni Lugaresi and Prof. Jef Peeters. Your tasks include studying and critically evaluating literature, patents, and company releases to determine the state of the art and identify opportunities for novel contributions. You will develop innovative methods and algorithms for digital twin architectures, organize and perform testing and validation experiments in KU Leuven’s laboratories, disseminate research results at project meetings and international conferences, and publish in high-quality scientific journals.

Applicants must hold a Master’s degree in Science, Engineering, or an equivalent degree with a high GPA. Fluency in English is required. Candidates should enjoy working in a multidisciplinary team, demonstrate willingness to learn and explore innovative technologies, possess a creative mindset, and show initiative. Experience in digital twins, manufacturing systems, or related fields is advantageous.

The position offers a varied and challenging job in close cooperation with industry, an attractive salary package, and a stimulating, multi-disciplinary environment with a strong industrial network. You will have the opportunity to work towards a PhD degree and grow your academic experience within an international network. KU Leuven is committed to diversity, inclusion, and equal opportunity, providing support for accessibility and a respectful environment.

Expected start date is between June and September 2026. The application deadline is April 30, 2026. For more information, contact Prof. Giovanni Lugaresi at [email protected]. Apply online via the KU Leuven jobsite application link.