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MAterials for Smarter AUTonomous sensOrs

Objective

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.

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: The European Science Vocabulary.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2023-DN-01

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Coordinator

UNIVERSIDADE DO MINHO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 730 209,60
Address
LARGO DO PACO
4704 553 Braga
Portugal

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Region
Continente Norte Cávado
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (5)

Partners (7)

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