PhD Candidate: AI-Driven Water Systems & Monitoring

University of Sheffield; United Kingdom; On-site; GBP 38,431 - 46,972; Full time

Job summary

The University of Sheffield invites applications for Doctoral Candidate 3 (DC3) under the Horizon Europe MSCA i3WaterS network. The PhD will focus on intelligent, AI-driven monitoring of water distribution systems, with supervision from world-renowned experts.

Candidates must meet MSCA mobility rules and hold a relevant bachelor’s degree with strong STEM credentials. The program integrates data science, microbiology, and hydraulics, offering international secondments across Europe and a

Qualifications

• Upper second-class honours (2:1) or first-class honours in Civil/Environmental Eng./Environmental Sciences/Physical Geography.
• Master’s degree in a STEM field may be suitable (desirable).
• MSCA eligibility and mobility rules must be met; no doctoral degree at recruitment.

Responsibilities

• Develop intelligent monitoring and predictive models for water distribution systems.
• Work within the i3WaterS network to advance AI-driven solutions for water management.
• Publish findings in peer-reviewed journals and present at international events.

Skills

Urban water sector

Research aptitude

Python/R

Molecular biology

Education

Bachelor degree or equivalent in Civil/Environmental Eng./Environmental Sciences/Geography

Master’s degree (desirable)

Job description

The University of Sheffield invites applications for Doctoral Candidate 3 (DC3) under the Horizon Europe MSCA i3WaterS network. The PhD will focus on intelligent, AI-driven monitoring of water distribution systems, with supervision from world-renowned experts.

Candidates must meet MSCA mobility rules and hold a relevant bachelor’s degree with strong STEM credentials. The program integrates data science, microbiology, and hydraulics, offering international secondments across Europe and a