PhD Candidate in AI-Driven Water Systems (MSCA)

Newcastle University; Newcastle upon Tyne; On-site; GBP 43,000 - 50,000; Full time

Job summary

Newcastle University is inviting applications for a fully funded PhD position under the i3WaterS network. The project will train 15 doctoral candidates to develop AI-driven, data-informed methods for resilient water distribution systems.

Dr Manuel Herrera leads the supervision, with international co-supervisors, and a Welsh Water industrial mentor. The role involves developing DIAS concepts, data integration, and digital twins, with responsibilities including dissemination at international

Qualifications

• Proven ability to perform quantitative and computational research.
• Programming experience in Python, R, MATLAB or similar.
• Strong analytical and problem-solving skills.
• Excellent written and spoken English for research dissemination.

Responsibilities

• Develop District Information Areas for smart water systems.
• Define adaptive virtual subnetworks to complement existing districts.
• Integrate sensor, smart-meter and model data for local health assessments.
• Contribute to development of digital twins for large-scale water networks.
• Publish research findings in peer-reviewed journals and present at conferences.

Skills

Python

R

MATLAB

Data analysis

Analytical thinking

English communication

Education

2:1 Honours degree or international equivalent

Job description

Newcastle University is inviting applications for a fully funded PhD position under the i3WaterS network. The project will train 15 doctoral candidates to develop AI-driven, data-informed methods for resilient water distribution systems.

Dr Manuel Herrera leads the supervision, with international co-supervisors, and a Welsh Water industrial mentor. The role involves developing DIAS concepts, data integration, and digital twins, with responsibilities including dissemination at international