Ali Intizar

Fully funded PhD opportunity at Dublin City University in the Water Institute and the School of Electronic Engineering , focused on Physics-Informed Neural Networks (PINNs) for water resilience . The project sits within the national programme Decarbonising Ireland: AI-Powered Pathways to Climate Resilience and addresses urgent challenges in floods, droughts, water quality, microbiology, and infrastructure resilience under climate change and urbanisation pressures. The research is highly interdisciplinary and combines artificial intelligence , machine learning , deep learning , data science , and computational science with real-world water-system applications. It is jointly supervised by Assoc. Prof. Ali Intizar and Prof. Fiona Regan at Dublin City University, with collaboration across a national research partnership involving UCD, DCU, TCD, TU Dublin, UL, UCC, and ICHEC. Funding includes a €31,000 tax-free annual stipend , full fees for 4 years , plus a generous travel, training, and materials budget. The position also offers access to strong research infrastructure, cohort-based doctoral training, industry collaboration, and international placements. Applicants should have a strong background in Computer/Data Science , Electronic Engineering , Bioinformatics , or Computational Science with AI specialisation . Experience in machine learning , deep learning , AI , programming, robust software development, and research/publications is preferred. The PhD starts in September 2026 . The application deadline is 30 April 2026 . To apply, email a CV and one-page cover letter to [email protected] with the subject line PINN4WaterResilience‑PhD Application . Further details are available in the attached PDF.