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Innovative Network for Training in wAter and Food QUality monitoring using Autonomous SENSors and IntelligEnt Data Gathering and Analysis

Description du projet

Former les futurs chercheurs aux technologies de détection de la qualité de l’eau

La détérioration de la qualité de l’eau est une grave préoccupation d’envergure mondiale. Les scientifiques cherchent à remédier à la mauvaise qualité de l’eau en développant des outils capables de surveiller et prendre des mesures des variables biogéochimiques. Dans ce contexte, le projet AQUASENSE, financé par l’UE, formera 15 chercheurs en début de carrière dans les domaines de l’aquaculture et de l’agriculture et des technologies de détection afin de mettre au point des capteurs destiné à la surveillance environnementale. Des robots et drones sous-marins autonomes seront utilisés pour améliorer la collecte de données et des méthodes d’IA permettront d’améliorer l’analyse des données. La formation pratique dispensée dans le cadre du projet sera complétée par des cours de formation formelle dans des domaines d’intérêt, notamment la fabrication de capteurs, l’intégration de systèmes et la robotique. L’objectif général du projet est de susciter un changement radical dans le domaine de la surveillance de la qualité de l’eau tout en assurant la formation des futurs chefs de file de la recherche.

Objectif

The deterioration of water quality, caused by climatic/seasonal changes, or industrial waste etc. is a major global concern. Over the last decade, water quality observing technology has risen to the challenge of scientists to identify and mitigate poor water quality by providing them with cost-effective tools that can take measurements of essential biogeochemical variables autonomously. Yet, despite these options becoming more readily available, there is a gap between the technology and the end-user (including the investigators and technicians that deploy these technologies) due to a collective lack of training, in-depth knowledge, and skilled workers who can meet new and emerging challenges. There is also a disconnect between data quality, data gathering by autonomous sensors and data analysis, which is a major obstacle, as the sensors are already being deployed (e.g. through buoys, boats etc.). AQUASENSE will address these challenges through 15 early stage researchers (ESRs), who will receive 540 person-month of unparalleled multidisciplinary training in the field of water quality monitoring. Each ESR will be mentored by carefully selected experts from academia and industry in 9 European countries (UK, Germany, Ireland, Serbia, Sweden, Italy, Poland, Austria, Estonia) and will have access to state-of-the-art equipment to develop autonomous sensors for improved data quality. The autonomous underwater robots and drones will be used to improve the data gathering and AI methods will be used to improve the data analysis. Hands-on project training will be supplemented with formal training courses in relevant fields such as new materials, sensors fabrication, wireless communication, system integration, and robotics, and a variety of complementary courses such as IPR, grant writing and exploiting the scientific results. Mobility within the network will ensure exposure to complementary academic and industrial research environments.

Coordinateur

UNIVERSITY OF GLASGOW
Contribution nette de l'UE
€ 950 951,26
Adresse
UNIVERSITY AVENUE
G12 8QQ Glasgow
Royaume-Uni

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Région
Scotland West Central Scotland Glasgow City
Type d’activité
Higher or Secondary Education Establishments
Liens
Coût total
€ 950 951,26

Participants (11)

Partenaires (2)