Descrizione del progetto
Formazione per i ricercatori futuri sulle tecnologie di rilevamento della qualità idrica
Il deterioramento della qualità dell’acqua è un problema globale grave. Gli scienziati desiderano mitigare la scarsa qualità dell’acqua sviluppando strumenti in grado di monitorare e misurare le variabili biogeochimiche. In tale contesto, il progetto AQUASENSE, finanziato dall’UE, formerà 15 ricercatori all’inizio della carriera nell’ambito dell’acquacoltura, dell’agricoltura e delle tecnologie di rilevamento, al fine di sviluppare sensori per il monitoraggio ambientale. Verranno impiegati robot subacquei e droni autonomi per migliorare la raccolta dei dati, nonché metodi di intelligenza artificiale per una migliore analisi delle informazioni. La formazione pratica nell’ambito del progetto sarà integrata da corsi di formazione formali negli ambiti connessi, come la fabbricazione di sensori, l’integrazione di sistema e la robotica. L’obiettivo generale del progetto è apportare un cambiamento radicale nell’ambito del monitoraggio della qualità idrica, fornendo al contempo una formazione ai futuri leader della ricerca.
Obiettivo
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.
Campo scientifico
- natural sciencescomputer and information sciencesdata science
- natural sciencesearth and related environmental scienceshydrology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)Coordinatore
G12 8QQ Glasgow
Regno Unito