A doctoral thesis in the framework of the research project entitled DMK-COMPOSITE – Degenerated-Multiscale-Kinematics (DMK) techniques title, in the coalification for the automatical learning assisted by materials, of Ref. PID2022-140249OB-I00, which principal investigators are Prof. Juan Cante Teran and Prof. Oriol Lloberas Valls, co-lidering the Computational Design & Analysis of Engineering Metamaterials group.
The thesis will be conducted within the context of one of the research lines of the group, focused on the computational design of advanced materials. The work is supported by three clearly established pillars: 1) Modelling the material's behaviour using multiscale techniques, 2) Optimization of both the material and the design through the combination of various tools from topological optimization, genetic algorithms, and the latest machine learning techniques, and 3) Development of reduced-order methods, adapted to the specific problem, to significantly reduce computational costs.
Additional information about the Project available at: CIMNE RTD Project: DMK-COMPOSITE
The candidate will join the research group of Computational Design & Analysis of Engineering Metamaterials: Computational Design & Analysis of Engineering Metamaterials
This contract is financed by the announcement of Proyectos de Generación de Conocimiento 2022 del Ministerio de Ciencia e Innovación: Proyectos de Generación de Conocimiento 2022 | Agencia Estatal de Investigación (aei.gob.es)
The deadline for applying for the vacancy is November 2nd, 2023 at 12:00 noon.
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