26 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" "Dr" PhD positions at University of Warwick
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innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big Questions, Real Impact – From
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innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big Questions, Real Impact – From
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, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both academia and industry. Collaborative Environment – Work alongside leading researchers and industry
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of Heterogeneous Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing
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an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big Questions, Real
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Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges
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University of Warwick – Collaborative EPSRC Doctoral Landscape Award. Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend
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(Centre for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering
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Warwick: Prof. Zushu Li, Dr Zhiming Yan, Tata Steel UK: Dr Ciaran Martin, Dr Bin Xiao Start date: October 2025 (or earlier) Project Overview: An enthusiastic researcher is invited to join a team to work on
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About the project: Supervisor: Professor Nicholas Hine, University of Warwick This project uses cutting-edge computational and machine learning methods to accelerate catalyst discovery for fuel cell