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ECOLE SIGNED

Experience-based Computation: Learning to Optimise

Total Cost €

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EC-Contrib. €

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Partnership

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Project "ECOLE" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF BIRMINGHAM 

Organization address
address: Edgbaston
city: BIRMINGHAM
postcode: B15 2TT
website: www.bham.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 2˙060˙348 €
 EC max contribution 2˙060˙348 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2017
 Funding Scheme MSCA-ITN-EID
 Starting year 2018
 Duration (year-month-day) from 2018-04-01   to  2022-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF BIRMINGHAM UK (BIRMINGHAM) coordinator 546˙575.00
2    UNIVERSITEIT LEIDEN NL (LEIDEN) participant 766˙122.00
3    Honda Research Institute Europe GmbH DE (Offenbach/Main) participant 498˙432.00
4    NEC LABORATORIES EUROPE GMBH DE (HEIDELBERG) participant 249˙216.00
5    NEC EUROPE LTD UK (LONDON) participant 0.00
6    BAYERISCHE MOTOREN WERKE AKTIENGESELLSCHAFT DE (MUENCHEN) partner 0.00
7    DYNAMORE GESELLSCHAFT FUER FEM INGENIEURLEISTUNGEN MBH DE (STUTTGART) partner 0.00
8    TATA STEEL NL (IJmuiden) partner 0.00

Map

 Project objective

The overall theme of our proposed doctoral programme is ECOLE: Experience-based COmputation: Learning to optimisE. It seeks novel synergies between nature inspired optimisation and machine learning to address new challenges that arise in industry due to the increasing complexity of products, product development and production processes. The unique aspect of ECOLE is to study and capture the notion of experience that is associated with expert engineers, who have worked on complex optimisation tasks for a certain time, in a computational framework composed of machine learning and optimisation strategies. We aim at developing cutting-edge optimisation algorithms that can continuously accumulate experience by learning from development projects both over time and across different problem categories. The more such algorithms are used for different optimisation problems, the better they become since their accumulated experience increases. The Consortium consists of two world-leading universities, the University of Birmingham (UK) and the University of Leiden (The Netherlands), both in the top 150 in the 2016-17 Times Higher Education World University Rankings, and two innovative companies, Honda Research Institute Europe GmbH (Germany) in the automotive sector and NEC Europe Ltd (UK) in the ICT sector. All have world-leading research groups with complementary expertise that support ECOLE. ECOLE fills an urgent need in Europe for highly skilled optimisation and machine learning experts who have first-hand industrial experiences allowing sustainable know-how growth for solving future challenges. Its entire training programme is centred around a set of novel research projects proposed for early stage researchers (ESRs), complemented by domain knowledge training, hands-on engineering training and transferable skill training. ESRs will spend 50% of their time in the non-academic beneficiaries and be trained in different academic environments and industrial sectors.

 Deliverables

List of deliverables.
Dissemination and outreach plan Demonstrators, pilots, prototypes 2020-01-28 16:24:40

Take a look to the deliverables list in detail:  detailed list of ECOLE deliverables.

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The information about "ECOLE" are provided by the European Opendata Portal: CORDIS opendata.

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