Offer Description
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.
Requirements
Research Field Engineering Education Level Master Degree or equivalent
Skills/Qualifications
The working language of the Institute is English. Full command of the English language is required in all positions.
Specific Requirements
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.
Languages ENGLISH Level Excellent
Research Field Engineering Years of Research Experience 1 - 4
Additional Information
Benefits
This thesis will be carried out thanks to the funding from the HERA (Hybrid-Electric Regional Architecture) HORIZON-JU-Clean-Aviation project.
Full-time contract, including social security coverage.
Enrolment in an academic PhD program.
Selection process
Starting date: available immediately; open until filled.
Applications are processed upon reception. The position might be closed once ten working days have passed since publication, so we encourage early application.
Additional comments
WHAT YOU WILL FIND AT IMDEA:
Stimulating environment where you can grow professionally.
IMDEA Materials Institute is committed to equal opportunities, diversity and the promotion of a healthy work environment and work-life balance. Female applicants are encouraged to apply to our research and technical positions. See our Gender Equality Plan and our Code of Ethics .
Besides on-the-job technical training, IMDEA Materials Institute is committed to training the Institutes scientists and staff in “soft” or transversal skills. See the available training .
Meet some of our to see what it is like to work with us. Website for additional job details
Work Location(s)
Number of offers available 1 Company/Institute FUNDACIÓN IMDEA MATERIALES Country Spain State/Province Madrid City GETAFE Postal Code 28906 Geofield
Where to apply Website
Contact City
Getafe - Madrid Website
Street
Eric Kandel, 2 Postal Code
28906
STATUS: EXPIRED
EURAXESS
Fecha de publicación: 06/05/2023