Skip to main content

Machine Sensing Training Network

Objective

The aim of this Innovative Training Network is to train a new generation of creative, entrepreneurial and innovative early-stage researchers (ESRs) in the research area of measurement and estimation of signals using knowledge or data about the underlying structure. With its combination of ideas from machine learning and sensing, we refer to this research topic as “Machine Sensing”. We will train all ESRs in research skills needed to obtain an internationally-recognized PhD; to experience applying their research a non-Academic sector; and to gain transferrable skills such as entrepreneurship and communication skills. We will further encourage an open “reproducible research” approach to research, through open publication of research papers, data and software, and foster an entrepreneurial and innovation-oriented attitude through exposure to SME and spin-out Partners in the network. In the research we undertake, we will go beyond the current, and hugely popular, sparse representation and compressed sensing approaches, to develop new signal models and sensing paradigms. These will include those based on new structures, nonlinear models, and physical models, while at the same time finding computationally efficient methods to perform this processing. We will develop new robust and efficient Machine Sensing theory and algorithms, together methods for a wide range of signals, including: advanced brain imaging; inverse imaging problems; audio and music signals; and non-traditional signals such as signals on graphs. We will apply these methods to real-world problems, through work with non-Academic partners, and disseminate the results of this research to a wide range of academic and non-academic audiences, including through publications, data, software and public engagement events.

Field of science

  • /natural sciences/computer and information sciences/software
  • /natural sciences/computer and information sciences/artificial intelligence/computational intelligence
  • /social sciences/economics and business/business and management/entrepreneurship
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning

Call for proposal

H2020-MSCA-ITN-2014
See other projects for this call

Funding Scheme

MSCA-ITN-ETN - European Training Networks

Coordinator

UNIVERSITY OF SURREY
Address
Stag Hill
GU2 7XH Guildford
United Kingdom
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 546 575,76

Participants (8)

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE
France
EU contribution
€ 525 751,20
Address
Domaine De Voluceau Rocquencourt
78153 Le Chesnay Cedex
Activity type
Research Organisations
THE UNIVERSITY OF EDINBURGH
United Kingdom
EU contribution
€ 546 575,76
Address
Old College, South Bridge
EH8 9YL Edinburgh
Activity type
Higher or Secondary Education Establishments
TECHNISCHE UNIVERSITAET MUENCHEN
Germany
EU contribution
€ 498 432,96
Address
Arcisstrasse 21
80333 Muenchen
Activity type
Higher or Secondary Education Establishments
INSTITOUTO TECHNOLOGIAS YPOLOGISTONKAI EKDOSEON DIOFANTOS
Greece
EU contribution
€ 484 773,84
Address
N Kazantzaki Odos
26504 Patras
Activity type
Research Organisations
INSTITUTO DE TELECOMUNICACOES
Portugal
EU contribution
€ 476 712,72
Address
Campus Universitario De Santiago Universidade De Aveiro
3810 193 Gloria E Vera Cruz
Activity type
Research Organisations
TAMPEREEN KORKEAKOULUSAATIO SR
Finland
EU contribution
€ 269 145,36
Address
Kalevantie 4
33100 Tampere
Activity type
Higher or Secondary Education Establishments
NOISELESS IMAGING OY
Finland
EU contribution
€ 269 145,36
Address
Kurpantie 10
33100 Tampere
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Germany
EU contribution
€ 249 216,48
Address
Hansastrasse 27C
80686 Munchen
Activity type
Research Organisations

Partners (7)

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Switzerland
Address
Batiment Ce 3316 Station 1
1015 Lausanne
Activity type
Higher or Secondary Education Establishments
VISIOSAFE SA
Switzerland
Address
Rue Du Grand Chene 1-3
1003 Lausanne
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
GENERAL ELECTRIC DEUTSCHLAND HOLDING GMBH
Germany
Address
Bleichstrasse 64-66
60313 Frankfurt Am Main
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Bioiatriki SA
Greece
Address

Athens
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Audio Analytic Ltd.
United Kingdom
Address
105 Roman Way
HR9 5UY Ross-on-wye
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
CEDAR Audio Ltd
United Kingdom
Address
20 Home End
CB21 5BS Fulbourn
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Songquito UG (haftungsbeschränkt)
Germany
Address

Erlangen
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)