Project description
Education in the field of industrial computational electromagnetics
As an impacting discipline, computational electromagnetics is expanding rapidly. The future is looking strong, mainly due to the growing demand for software for the design and analysis of electrical devices. However, standard doctoral programmes in computational electromagnetics are often too theoretical, abstract and far from the on-field industrial needs. The EU-funded COMPETE project aims to advance the academic doctoral programmes aimed at electromagnetic modellers, designers and innovators. The goal of this new training approach is to provide a pragmatic perspective to the current industrial needs in modelling.
Objective
The aim of COMPETE (COMPutationally empowered Electromagnetic industrial TalEnts) is to bridge the gap between the mindset and needs of advanced electromagnetics industry and the academic doctoral programs forming electromagnetic modelers designers and innovators. Standard doctoral programs in computational electromagnetics provide solid theoretical and algorithmic background, but are often abstract and far from the on-the field industrial needs. Several key elements of the industrial processes related to sensitivity of key devices, associated costs, relaiability and benchmarking of results are often discovered much later by the PhD student, and often European doctoral curricula in this field results less competitive than those of PhD awarded candidates from other systems like the North American one. This training, will instead provide since the very beginning a very pragmatic prospective on the current industrial needs in modelling and will form and educate a cohort of young scientists and innovators in the field of industrial computational electromagnetics.
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.
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Programme(s)
Coordinator
10129 Torino
Italy