Objective
The European aerospace, automotive, and rail industries are committed to improving their energy efficiency to meet targets set within the EU’s climate, energy and transport policies. This is motivating the increased use of lightweight composite materials in lieu of heavier metallics. To implement this transition, these industries must reach, at least, the same level of crash performance achieved with metals, but at significantly lower weight and without increasing cost. This is viewed by industry as an exceptionally challenging goal and will require highly trained engineers, versed in the myriad aspects of designing cost-effective, crashworthy composites structures, and capable of harnessing the latest research developments in the fast-changing world of composites. The ICONIC ETN aims to cultivate such a new generation of young engineers; comfortable and fluent in the integration and exploitation of knowledge from fields as diverse as materials science, chemistry, computational methods, solid and damage mechanics, textile technology, structural design and optimisation. These researchers will acquire the skills to enable the sustainable and economically-viable design of a new generation of highly efficient, lightweight transportation composite structures that will provide the maximum protection to occupants through superior crashworthiness. 15 Early Stage Researchers (ESRs) will be recruited to take up posts, across the UK, Ireland, Greece, Germany, Italy and Sweden, in an innovative, multidisciplinary and intersectoral structured research and training programme. ICONIC is supported by a strong consortium from academia, large industrial enterprises and innovative SMEs. A comprehensive training and secondment programme (including joint supervision and industrial mentoring) will equip researchers with additional transferable skills to ensure future employability and career progression.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologymaterials engineeringcomposites
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineering
- engineering and technologymaterials engineeringtextiles
- engineering and technologycivil engineeringtransportation engineeringrailroad engineering
- engineering and technologynanotechnologynano-materials
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Programme(s)
Funding Scheme
MSCA-ITN-ETN - European Training NetworksCoordinator
BT7 1NN Belfast
United Kingdom