Mumin Enis Leblebici

KU Leuven is offering a PhD position on hybrid modelling and agentic process intensification within a research group working at the interface of chemical engineering, process systems engineering, and artificial intelligence . The project is part of EL4CHEM and focuses on developing methods for efficient knowledge transfer between processes, operating conditions, and modelling scales. The successful candidate will work on hybrid modelling , transfer learning , uncertainty analysis , and adaptive model updating , with applications to chemical and pharmaceutical processes . The group develops digital twins and data-driven tools for process design, optimisation, and control, with strong attention to industrially relevant applications. This makes the position especially suitable for applicants interested in combining modelling, computation, and real-world process engineering challenges. Applicants should have a background in chemical engineering, process engineering, applied mathematics, computer science, or a related field . Experience with Python, process modelling, machine learning, or optimisation is considered an advantage. The ideal candidate is motivated, independent, and interested in interdisciplinary research. The role is offered as a full-time research position for one year , with the possibility of extension up to four years depending on performance and available funding. The position is based at KU Leuven in Leuven, Belgium, and offers an international, multidisciplinary environment with opportunities for scientific publication, industrial collaboration, and professional development. For more information, interested candidates may contact Prof. dr. Mumin Enis Leblebici at muminenis.leblebici@kuleuven.be . Applications should be submitted through the KU Leuven job portal before 2026-08-31 .