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MAterials for Smarter AUTOnomous sensors

MSCA Doctoral Network

About MASAUTO

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Representation of the new autonomous IoT sensors applications, image created using artificial intelligence (Copilot Designer)

MASAUTO is a research and training program for 12 Doctoral Candidates (DCs), 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 is, therefore, crucial to develop materials for energy harvesting and storage, as well as low loss electronics.

Our Goals

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 DCs 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.

 

Contacts:

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Dr. José Silva
Scientific Project Coordinator
josesilva@fisica.uminho.pt
Prof. Luís Marques
Network Coordinator
lsam@fisica.uminho.pt
University of Minho
Campus de Gualtar
PT-4710 - 057 Braga
Portugal