intelligent, innovative, integrative Water Systems
AI-driven solutions for intelligent, resilient and sustainable water systems
i3WaterS brings together universities, research centers, technology developers
and water utilities across Europe to support the digital transformation of
critical water infrastructures.
“More” Intelligent Management of WDSs for Improving water Quality (MIMIQ)
| Code | i3WaterSDC13 |
|---|---|
| Host Institution | UNIVERSITA DEGLI STUDI DI CASSINO E DEL LAZIO MERIDIONALE Department of Civil and Mechanical Engineering |
| Location | CASSINO Postcode 03043 Italy |
| Supervisor(s) | Main Supervisor: Dr Angelo Leopardi (UNICAS, Italy) Co-supervisor: Dr Claudia Quintiliani (BW, The Netherlands) Industrial Mentor – Experts: Mr Tony Esposito (GORI, Italy) |
| Research Field | Hydraulics, Artificial Intelligence |
| Contract type | Fixed term contract |
| Application Deadline | september 30th, 2026 |
Description
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).
The specific research objective of this offer is to develop intelligent hydraulic modelling and optimisation methods that improve calibration, water demand estimation and water quality management in drinking water distribution systems.
The candidate will contribute with the following subobjectives:
Objectives: 1). Formulate mathematical models and algorithms to optimize the operation of valves within DMA’s to minimize the risk of water quality deterioration. Multiple water quality factors will be taken into account. 2). Evaluation and comparison of valves operational strategies to improve water quality in real-world districtualized WDNs.
Expected Results: 1) Development of innovative optimization models incorporating water quality factors and valve operation variables. 2) Provide practical guidelines and tools for water utilities to optimize valve settings.
Requirements
Education level
Master Degree
Skills / Qualifications
- Hydraulics
- Water Distribution Systems
- Machine Learning and Data Mining
- Knowledge-Based Systems
- Data-driven models
- Explainable Artificial Intelligence (XAI)
- Multi-Agent Systems
- Decision Support Systems
- Python, R, Java or related programming languages
- Data integration and interoperability
- Documenting in Latex
- Teamwork
Required languages
English – C1
i3WaterS is a doctoral network project funded by the European Union under the HORIZON.1.2 – Marie Skłodowska-Curie Actions (MSCA) ( HORIZON_MSCA-101227354-i3WaterS).
For more information cordis.europa.eu.
i3WaterS contact: i3waters.management@upc.edu