Brian Sheil
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Fully Funded PhD in Physical AI for the Built World University of Galway in Ireland
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD studentship funded by the School of Engineering, University of Galway. The project includes joint supervision at University of Galway/CIRI and the University of Cambridge, with a research base in Galway and an expected visiting period of at least six months at Cambridge.
Deadline
Nov 30, 2026
Country
Ireland
University
University of Galway

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About this position
Brian Sheil is recruiting a fully funded PhD researcher in Physical AI for the Built World, jointly supervised at the University of Galway and the University of Cambridge through CIRI – Ward & Burke Centre for Infrastructure Research & Innovation.
The project sits at the intersection of civil engineering, computer science, physics, mathematics, robotics, and machine learning. Research directions include subsurface 3D reconstruction using physics-supervised learning and multimodal sensing, underground digital twins, physics-informed learning for particle contact and interactions, generalisable physical AI for construction robotics and autonomous systems, and scientific machine learning for infrastructure with a focus on soil mechanics.
Funding is described as full funding from the School of Engineering, University of Galway. The successful candidate will be based at CIRI in Galway and is expected to spend at least six months at Cambridge during the PhD.
Applicants should have a background in engineering, computer science, applied mathematics, physics, or a related field, with strong mathematical or computational foundations. Experience in machine learning, numerical modelling, computer vision, robotics, or sensing is considered valuable.
To apply, email a CV and a one-page research proposal to [email protected] using the subject line SoE_studentship_26. Deadline: 30 November 2026.
Funding details
Fully funded PhD studentship funded by the School of Engineering, University of Galway. The project includes joint supervision at University of Galway/CIRI and the University of Cambridge, with a research base in Galway and an expected visiting period of at least six months at Cambridge.
What's required
Applicants should have a background in engineering, computer science, applied mathematics, physics, or a related discipline, with strong mathematical or computational foundations. Experience in machine learning, numerical modelling, computer vision, robotics, or sensing is valuable. Candidates with different combinations of computational and engineering experience are welcome.
How to apply
Email your CV and a one-page research proposal to [email protected] with the subject line SoE_studentship_26. Review the linked opportunity page for more details before applying.
More information can be found here
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