PhD in Computational Modelling, Machine Learning, and Sustainable Materials at University of Luxembourg University of Luxembourg in Luxembourg

The University of Luxembourg is offering a PhD opportunity within the Computational Mechanics group led by Stéphane P.A. Bordas. The research focuses on multi-scale computational modelling and the design of novel bio-waste-derived meta-structures, integrating advanced machine learning techniques. The project aims to develop predictive models for 3D-printed meta-materials, considering variations in bio-waste ink composition, manufacturing parameters, and experimental data. Key performance measures include mechanical, thermal, and acoustic properties, with an added emphasis on human-centered design to assess perception and usability.

The successful candidate will join the Doctoral School for Science and Engineering, benefiting from interdisciplinary and internationally competitive research training. The project involves close collaboration with international academic and industrial partners, providing a dynamic and innovative research environment. The computational framework will utilize machine-learning surrogate modelling to ensure efficiency and scalability.

Applicants should have a strong background in computational modelling, machine learning, materials science, or related engineering fields. Experience with multi-scale modelling, 3D printing, or sustainable materials is a plus. Proficiency in English and fulfillment of the Doctoral School's entry requirements are necessary. For more information and to apply, candidates should visit the University of Luxembourg's recruitment portal.