Descripción del proyecto
Formación de futuros investigadores en tecnologías de detección de la calidad del agua
El deterioro de la calidad del agua es una grave preocupación a escala mundial. Los científicos tratan de mitigar la mala calidad del agua mediante el desarrollo de herramientas que puedan controlar y tomar medidas de las variables biogeoquímicas. En este contexto, el proyecto AQUASENSE, financiado con fondos europeos, formará a quince investigadores noveles en los campos de la acuicultura/agricultura y las tecnologías de detección para que desarrollen sensores destinados a la vigilancia del medio ambiente. Se utilizarán robots submarinos autónomos y drones para mejorar la recogida de datos, así como métodos de inteligencia artificial para mejorar el análisis de datos. La formación práctica en los proyectos se completará con cursos de formación oficial en campos pertinentes, como la fabricación de sensores, la integración de sistemas y la robótica. El objetivo general del proyecto es dar un paso adelante en el campo de la vigilancia de la calidad del agua, formando al mismo tiempo a futuros líderes de investigaciones.
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(s)
Régimen de financiación
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)Coordinador
G12 8QQ Glasgow
Reino Unido