Doctoral student in water network engineering and artificial intelligence W/M

Descrizione

Doctoral student in water network engineering and artificial intelligence W/M Sintesi in italiano (traduzione automatica): L'organizzazione i3WaterS, che riunisce università, centri di ricerca e aziende del settore idrico in Europa, offre un'opportunità per 15 Dottorandi in ingegneria delle reti idriche e intelligenza artificiale. Il progetto mira a sviluppare soluzioni innovative per la gestione sostenibile delle risorse idriche, affrontando le sfide legate al cambiamento climatico. I candidati parteciperanno a un programma di formazione specifico, acquisendo competenze interdisciplinari in monitoraggio delle reti, gestione dei dati e modelli AI. È richiesta una laurea in ingegneria ambientale o un campo correlato. Il ruolo prevede la ricerca di metodologie AI per migliorare la resilienza e la sostenibilità dei sistemi di distribuzione dell'acqua, contribuendo a obiettivi di sviluppo sostenibile. A Climate-Ready and AI-Enhanced Approach to Water Network Management (WP3) + i3WaterS i3WaterS brings together leading universities, research centres, technology developers and water utilities across Europe. The project will train 15 Doctoral Candidates to develop innovative AI-driven solutions for intelligent, resilient and sustainable water systems, contributing to the digital transformation of one of the most critical infrastructures for society. The risk of water scarcity due to climate change and human activities is real. i3WaterS stands for Intelligent, Innovative, Integrative Water Systems and addresses the urgent need to optimize water resources management by providing a comprehensive solution to upgrade, optimally operate and maintain water distribution systems (WDSs). For the first time, a unique holistic approach will find the key interrelationships between external, day-to-day and extreme, factors and WDS failures, to advise actions and protocols to make WDSs robust and reliable. At research level, i3WaterS project focuses on the integration of data, specific expert knowledge and computational simulations tools, introducing the most advanced data-driven and artificial intelligent techniques beyond the State of the Art, that plugged in a newly developed intelligent decision support system (IDSSs), working as an umbrella for a set of 14 independent solutions that enables assisting the WDSs management into scientifically driven decision-making. The incorporation of artificial intelligence (AI) will help to increase the autonomy of some parts of the WDS, those suitable under a paradigm of maximum security, safety and robustness, and the project will take care to frame this autonomy in a global and general concept of intelligent assistance, including human validation in each steps where it makes sense 15 Doctorate Candidates will learn from a network of experts on network monitoring, data management, algorithms, AI, modeling, microbiology, ethics and industrial partners, and by participating in a specifically designed training programme, they will develop the required cross competencies to find, test and innovate over a solution that will be fundamental to meet the sustainable development goals on water. Just as important, i3WaterS provide a new generation of internationally connected professionals with unique skills for the development of thriving careers in the critical infrastructures. Research Objectives The main research goal of iWaterS is to provide, for the first time, rational analyses and explainable intelligent decision support of WDS to increase resilience to day-to-day incidents and to extreme events in the context of climate change such as floods or droughts, through new interdisciplinary and integral approaches for exploiting datasets (on-line, off-line), intelligent models (data-driven, numerical) and simulation results (digital twins, multiagent systems). he objective of the project is the protection of drinking water distribution systems (WDSs) and their consumers from the adverse impacts of climate change and human activities. For the first time, a unique holistic approach will identify the key interrelationships between external, day-to-day, and extreme factors and WDS failures, advising actions and protocols to make WDSs robust and reliable. This PhD research focuses on developing climate-resilient water networks by integrating virtual sensors, digital twins, multi-criteria decision analysis (MCDA), and explainable AI (XAI) into one unified framework. The specific research objective of this offer is To develop climate-ready Artificial Intelligence methodologies that enhance the resilience, adaptability and long-term sustainability of drinking water distribution systems under both normal and extreme operating conditions. The candidate will contribute with the following subobjectives: Objectives: 1) Build tools for climate-resilient WDS objectives, 2) ensure both real-time responsiveness and long-term Annuncio in inglese. Fonte: Euraxess (Commissione europea).