Skip to main content

European Training Network on Grey-Box Models for Safe and Reliable Intelligent Mobility Systems

Objective

The GREYDIENT innovative training network aims at training a next generation of Early Stage Researchers (ESR) to fully sustain the ongoing transition of European personal mobility towards safe and reliable intelligent mobility systems via the recently introduced framework of grey-box modelling approaches. One of the main challenges that we currently face in this context is the integration of the data captured from the plenitude of sensors that are involved in a particular road-traffic scenario, ranging from monitoring car-component loading situations to power network-reliability estimations. The aim is to fully exploit the potential of merging these data with advanced computational models of components and systems that are widely available in industry in order to fully assess the momentarily safety. Grey box models are an answer to this pressing issue, as they are aimed at optimally integrating (black-box) data driven machine learning tools with (white-box) simulation models to greatly surpass the performance of either framework separately. However, the training of professional profiles in Europe who combine knowledge and experience in state-of-the-art data-driven black box and numerical white box approaches with expertise in methods for reliability and safety estimation is scarce. Therefore, GREYDIENT will train its ESR’s in a wide spectrum of fields, including the modelling, propagation and quantification of the relevant variabilities, the application of big data and machine learning methods, as well as the optimal combination of data-driven approaches with numerical models. All our ESR’s will obtain a PhD from an internationally respected University, build experience in communicating and disseminating their work, applying their research skills in a non-academic context and receive in-depth training in transferable skills such commercialization, collaboration and entrepreneurship. This training will be organized in close cooperation with key industry stakeholders.

Field of science

  • /natural sciences/computer and information sciences/data science/big data
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

H2020-MSCA-ITN-2020
See other projects for this call

Funding Scheme

MSCA-ITN-ETN - European Training Networks

Coordinator

KATHOLIEKE UNIVERSITEIT LEUVEN
Address
Oude Markt 13
3000 Leuven
Belgium
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 512 640

Participants (9)

GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER
Germany
EU contribution
€ 505 576,80
Address
Welfengarten 1
30167 Hannover
Activity type
Higher or Secondary Education Establishments
POLITECNICO DI MILANO
Italy
EU contribution
€ 522 999,36
Address
Piazza Leonardo Da Vinci 32
20133 Milano
Activity type
Higher or Secondary Education Establishments
TECHNISCHE UNIVERSITAET MUENCHEN
Germany
EU contribution
€ 252 788,40
Address
Arcisstrasse 21
80333 Muenchen
Activity type
Higher or Secondary Education Establishments
SIGMA CLERMONT
France
EU contribution
€ 549 604,08
Address
Les Cezeaux Cs 20265
63178 Aubiere Cedex
Activity type
Higher or Secondary Education Establishments
ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Greece
EU contribution
€ 243 017,64
Address
Kedea Building, Tritis Septemvriou, Aristotle Univ Campus
54636 Thessaloniki
Activity type
Higher or Secondary Education Establishments
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Switzerland
EU contribution
€ 562 553,28
Address
Raemistrasse 101
8092 Zuerich
Activity type
Higher or Secondary Education Establishments
PHI-MECA ENGINEERING
France
EU contribution
€ 274 802,04
Address
Centre D'affaire Du Zenit L'arche, Rue De Sarlieve 34
63800 Cournon-d'auvergne
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
ARAMIS SRL
Italy
EU contribution
€ 261 499,68
Address
Via Pergolesi 5
20124 Milano (Mi)
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
BAYERISCHE MOTOREN WERKE AKTIENGESELLSCHAFT
Germany
EU contribution
€ 252 788,40
Address
Petuelring 130
80809 Muenchen
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)