Development of Agentic CAE-Based Mechanical Design Methods
This PhD position at KU Leuven focuses on the development of agentic computer-aided engineering (CAE) based mechanical design methods. Hosted by the Mecha(tro)nic System Dynamics division (LMSD), a vibrant research group with over 100 researchers, the project is supervised by Professor Frank Naets. The division is renowned for its blend of fundamental academic research and industrially relevant applications, with strong dissemination in top journals and industrial forums.
The research aims to advance computational design of mechanical systems by moving beyond traditional optimization methods and exploring agentic frameworks. While computational design optimization techniques such as topology optimization and genetic algorithms provide powerful tools for selecting optimal designs, they often require significant expertise from designers. Conversely, AI methods like GPTs can generate conceptual designs but lack the precision needed for real-world implementation. This project will investigate novel agentic methods that integrate CAE and computational optimization, leveraging state-of-the-art design optimization and AI-based approaches to create effective support for detailed mechanical design. The goal is to ensure that resulting designs meet concrete requirements such as strength and eigenfrequencies.
Methodological research will be complemented by the development of relevant demonstration cases, ultimately contributing to an improved design framework that helps mechanical engineers produce optimal designs more efficiently. The position offers opportunities to engage in structured, scientifically sound research, collaborate with a large and diverse team, and connect academic work to industrial innovation roadmaps. The successful candidate will have the chance to represent the research group at project meetings and conferences, disseminating findings to international experts and peers.
Applicants should hold a master's degree in engineering, physics, or mathematics, with above-average academic performance. Proficiency in English, experience with numerical modelling and optimization, knowledge of multibody and finite-element simulation, and programming skills in MATLAB and/or Python are required. The position provides a competitive remuneration package aligned with industry standards in Belgium, a country known for its high quality of life and excellent healthcare. The PhD trajectory typically spans four years, with ample opportunities for scientific and industrial development. Doctoral training is offered through the KU Leuven Arenberg Doctoral School, which emphasizes both academic and professional growth.
KU Leuven is located in Leuven, a lively town near Brussels, offering a safe and welcoming environment for international researchers. The university is recognized as Europe's most innovative university, with a strong presence of research centers and industry. The application process requires submission of a full CV, motivation letter, transcripts, proof of English proficiency, reference letters, and relevant publications. For further information, candidates may contact Professor Frank Naets by email, mentioning [GENIMA Vacancy] in the subject line.
