Development of machine learning surrogate models for mechanical behavior of structural composites


Ref. num. 2023-CG-R1-74

Surrogate Models in Mechanics of Composite Materials

IMDEA Materials Institute is a public research organization founded in 2007 by Madrid’s regional government to carry out research of excellence in Material Science and Engineering by attracting talent from all over the world to work in an international and multidisciplinary environment. IMDEA Materials has grown rapidly since its foundation and currently includes more than 120 researchers from 22 nationalities and has become one of the leading research centers in materials in Europe which has received the María de Maeztu seal of excellence from the Spanish government. The research activities have been focused on the areas of materials for transport, energy, and health care and the Institute has state-of-the-art facilities for processing, characterization and simulation of advanced materials.

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Surrogate modelling is a powerful technique for accelerating material design. In data-driven approaches, the synthetic data obtained by high-fidelity multiscale simulations (off-line modelling) can provide meta-models delivering accurate responses but at a minimal fraction of the simulation time, enabling in-line simulations. Using surrogates makes it possible to provide efficient designs, estimate the uncertainty in the model parameters, and discover new configurations of materials with properties that may not have been previously considered. A methodology to develop surrogate models to transfer information across the length scales in structural laminates (laminate to structure) will be investigated.


Candidates should hold an MSc in Mechanical Engineering, Data Science, Industrial Math or related disciplines with excellent academic credentials and a solid commitment to developing an academic career in an international and multidisciplinary environment. Demonstrated experience in Computational Materials Science, finite elements, programming, and machine learning will be valued.


This thesis will be carried out thanks to the funding from the HERA (Hybrid-Electric Regional Architecture) HORIZON-JU-Clean-Aviation project.

Starting date: available immediately; open until filled.

Full-time contract, including social security coverage.

Enrolment in an academic PhD program.

Applications are processed upon reception. The position might be closed once ten working days have passed since publication, so we encourage early application.

The working language of the Institute is English. Full command of the English language is required in all positions.


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