水系统分布式信息区优化与自动化方向博士职位

MSCA Doctoral Candidate Position in i3WaterS: District Information Areas for Smart Water Systems (DIAS @ i3WaterS)(code:i3WaterSDC15)

Newcastle University · 英国 · Newcastle

MSCA
Horizon Europe
有工资
全奖
英语即可
国际申请者可申
需硕士学位

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原帖优先：申请材料、截止时间与资格以原帖和学校官方说明为准。

AI 中文速览

研究内容

候选人将专注于通过分布式信息区（DIAs）增强配水管理，利用数据驱动的方法进行优化和自动化，开发虚拟子网络框架以支持半自主本地决策，并结合传感器与智能水表提升数据收集与分析能力。

申请条件

要求持有工程学、计算机科学或数学等相关学科的硕士学位或同等学历，具备水利工程、资产管理、AI、Python/R/Julia编程等技能，并满足纽卡斯尔大学博士项目及MSCA的入学和eligibility要求。

待遇

提供为期36个月的雇佣合同，起始日期为2027年1月1日，并包含欧盟地平线计划MSCA博士网络提供的国际流动性和培训计划。

申请方式

通过电子邮件将申请材料发送给联系人（manuel.herrera@newcastle.ac.uk），具体截止日期请参考公告中的说明。

材料清单

CV
动机信（motivation letter）

由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。

结构化信息

截止: 参见原文（截止时间尚未核验）
学科: 工程
合同类型: 雇佣合同
本站收录: 2026-10-09
内容更新: 2026-10-09
导师: Dr Manuel Herrera
来源: EURAXESS（欧洲科研人才门户，MSCA 官方导出） · 最近核对 2026-10-09
详情核验: 2026-10-09

判定依据（原文摘录）

is_phd
The successful candidate will be enrolled in a PhD programme at Newcastle University
english_ok
Applicants whose first language is not English require an IELTS score, or equivalent, of 6.5 overall with a minimum of 5.5 in all sub-skills.
bachelor_ok
Requirements / required education level / degree: Master Degree or equivalent

官方导出原文

Doctoral Candidate 15 (DC 15) – Enhancing water distribution management through District Information Areas: A data-driven approach to optimization and automation

Newcastle University (UNEW), UK, is recruiting a Doctoral Candidate (DC) within the Horizon Europe Marie Skłodowska-Curie Doctoral Network i3WaterS – Intelligent, Innovative and Integrative Water Systems. The successful candidate will be enrolled in a PhD programme at Newcastle University and will work under the supervision of Dr Manuel Herrera. i3WaterS brings together leading universities, research centers, 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 i3WaterS 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 candidate will contribute with the following subobjectives: 1) Develop and implement a DIA framework that uses virtual subnetworks based on connectivity and shared data, enabling semi-autonomous local decision-making. This framework aims to enhance automation in WDSs by synchronizing and coordinating with existing DMAs to optimise network efficiency and resilience. 2) Incorporate sensors and smart meters within the DIAs to improve data collection and analysis. This integration seeks to enhance the ability to self-evaluate local network health and conditions, facilitating more efficient WDS management.

Expected Results: 1) Enhance DMA management by DIAs localised decisions informed by both local network evaluations and information from neighbouring areas, leading to improved operational efficiency and resilience. 2) Enhance the existing sensor network to achieve comprehensive coverage of the WDS, providing an accurate representation of the physical infrastructure and paving the way for the development of a large-scale digital twin. Training Programme The training proposed by i3WaterS will uniquely integrate decades of knowledge, expertise & achievements in disciplines such as civil and computer engineering, hydroinformatics, geomechanics, applied mathematics, multiobjective optimization, high performance computing, big data, artificial intelligence, modelling, and data management, including soft skills facilitated by academic and non-academic partners. Apart from the PhD thesis done under a multidisciplinar and international supervisory panel composed by an supervisor, a co-supervisor from a second i3WaterS university and an industrial mentor linked to a real water facility, the program includes an International Doctoral School with six training chapters that take place under an international mobility structure (Barcelona (Spain), Dublin (Ireland), Bordeaux (France), Delft (The Netherlands), Brussels (Belgium), Newcastle (UK)). The contents of the training programme include the most relevant and advanced topics related with smart resilient WDSs and soft skills for the researchers and professionals of the future. The following topics are included in these training chapters: • Artificial Intelligence and Machine Learning. • Explainable AI and Trustworthy AI. • Knowledge Representation and Semantic Technologies. • Multi-Agent Systems and Intelligent Decision Support Systems. • Digital Twins and Smart Water Systems. • Innovation, entrepreneurship and technology transfer. • Scientific communication and transferable skills. International mobility will facilitate connections and visits to water facilities all over Europe, and industrial secondments will give a realistic perspective.

Two International Secondments in other second real water facilities will allow extensive testing and validation of thesis findings to guarantee real contribution to the state of art. These Secondments into industrial partners are included with two aims: testing the PhD findings in a different water facility from the one supporting the project development, and to allow providing specialised training to the water utilities staff.