Summary
MASAUTO is a research and training program for 10 early stage researchers (ESRs), focusing on developing a new generation of
materials that will overcome the current bottlenecks in the capability and capacity of autonomous sensors. The design of materials for
remote sensing applications, such as real-time information on climate changes or for intelligent transportation systems, still
represents an enormous challenge. The ongoing exponential growth of the internet of things (IoT) ecosystem - which could reach a
trillion devices in the near future - poses a serious challenge in terms of powering and interconnecting the underlying devices. The full
potential of the IoT will only be achievable if devices i) have a reliable and sustainable autonomous power supply, and ii) are capable
of processing information with reduced power requirements. A promising approach to address the first challenge is the use of an
energy harvester-supercapacitor combination, while for the second challenge a promising strategy is the use of non-volatile random
access memories. It's, therefore, crucial to develop materials for energy harvesting and storage, as well as low loss electronics.
Through MASAUTO, we will create a highly trained cohort of scientists and technologists, enabling rapid and broad
commercialization and implementation of technology in public and private research centers and in industrial institutions. The ESRs
will acquire a solid multidisciplinary scientific training, from basic science to industrial applications, which will enable them to
generate new scientific knowledge of the highest impact. MASAUTO will also deliver practical training on transferable skills in order to
increase employability prospects and to provide the researchers with access to highly skilled employment opportunities in the private
and public sectors. The overarching aim of the network is to position Europe as a leader in autonomous sensors for smart healthcare,
automotives, industry and agriculture.
materials that will overcome the current bottlenecks in the capability and capacity of autonomous sensors. The design of materials for
remote sensing applications, such as real-time information on climate changes or for intelligent transportation systems, still
represents an enormous challenge. The ongoing exponential growth of the internet of things (IoT) ecosystem - which could reach a
trillion devices in the near future - poses a serious challenge in terms of powering and interconnecting the underlying devices. The full
potential of the IoT will only be achievable if devices i) have a reliable and sustainable autonomous power supply, and ii) are capable
of processing information with reduced power requirements. A promising approach to address the first challenge is the use of an
energy harvester-supercapacitor combination, while for the second challenge a promising strategy is the use of non-volatile random
access memories. It's, therefore, crucial to develop materials for energy harvesting and storage, as well as low loss electronics.
Through MASAUTO, we will create a highly trained cohort of scientists and technologists, enabling rapid and broad
commercialization and implementation of technology in public and private research centers and in industrial institutions. The ESRs
will acquire a solid multidisciplinary scientific training, from basic science to industrial applications, which will enable them to
generate new scientific knowledge of the highest impact. MASAUTO will also deliver practical training on transferable skills in order to
increase employability prospects and to provide the researchers with access to highly skilled employment opportunities in the private
and public sectors. The overarching aim of the network is to position Europe as a leader in autonomous sensors for smart healthcare,
automotives, industry and agriculture.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101168161 |
| Start date: | 01-03-2025 |
| End date: | 28-02-2029 |
| Total budget - Public funding: | - 2 234 692,00 Euro |
Cordis data
Original description
MASAUTO is a research and training program for 10 early stage researchers (ESRs), focusing on developing a new generation ofmaterials that will overcome the current bottlenecks in the capability and capacity of autonomous sensors. The design of materials for
remote sensing applications, such as real-time information on climate changes or for intelligent transportation systems, still
represents an enormous challenge. The ongoing exponential growth of the internet of things (IoT) ecosystem - which could reach a
trillion devices in the near future - poses a serious challenge in terms of powering and interconnecting the underlying devices. The full
potential of the IoT will only be achievable if devices i) have a reliable and sustainable autonomous power supply, and ii) are capable
of processing information with reduced power requirements. A promising approach to address the first challenge is the use of an
energy harvester-supercapacitor combination, while for the second challenge a promising strategy is the use of non-volatile random
access memories. It's, therefore, crucial to develop materials for energy harvesting and storage, as well as low loss electronics.
Through MASAUTO, we will create a highly trained cohort of scientists and technologists, enabling rapid and broad
commercialization and implementation of technology in public and private research centers and in industrial institutions. The ESRs
will acquire a solid multidisciplinary scientific training, from basic science to industrial applications, which will enable them to
generate new scientific knowledge of the highest impact. MASAUTO will also deliver practical training on transferable skills in order to
increase employability prospects and to provide the researchers with access to highly skilled employment opportunities in the private
and public sectors. The overarching aim of the network is to position Europe as a leader in autonomous sensors for smart healthcare,
automotives, industry and agriculture.
Status
SIGNEDCall topic
HORIZON-MSCA-2023-DN-01-01Update Date
22-11-2024
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Organisations
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| UNIVERSIDADE DO MINHO (Coördinator)
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| AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
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| ASSOCIACAO UNIVERSIDADE EMPRESA PARA DESENVOLVIMENTO TECMINHO
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| IBM RESEARCH GMBH
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| LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY (LIST)
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| RIJKSUNIVERSITEIT GRONINGEN (RUG)
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| SAULE SPOLKA AKCYJNA
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| Sofia Maria Facal Belli
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| THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
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| THE UNIVERSITY OF CAMBRIDGE
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| TTS, S.R.O.
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| UNIVERSITAT AUTONOMA DE BARCELONA (UAB)
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| UNIVERSITE DU LUXEMBOURG