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Industries: Net Zero (PINZ) . The PINZ CDT will train the next generation of process and chemical engineers, and chemists, to develop the new processes, process technologies and green chemistries required
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aims to develop novel materials and components that facilitate strong light-matter interactions and enhance nonlinear optical responses for advanced photonic functionalities. This project is multifaceted
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. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The PINZ CDT will train the next generation of process and chemical engineers, and
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-efficient and high-performance photonic devices have been driven by the quantum revolution. This PhD studentship aims to develop novel materials and components that facilitate strong light-matter interactions
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-weather perception for which Radar sensing/imaging is essential. This project focuses on developing algorithms, using signal processing/machine learning techniques, to realise all-weather perception in
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remain limited due to a lack of systematic comparisons and underused legacy datasets. This project will develop a framework to predict sediment properties directly from geophysical data. Legacy SI data
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adaptation, and infrastructure resilience. This project will tackle that challenge by developing a new blended UK precipitation dataset at high temporal (15-minute) and spatial resolution. The student will
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integrity. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 years Application Closing Date 18th February 2026 Sponsor EPSRC Supervisors Dr Sabeeha Khadaroo (SAgE, Chemical Engineering) Prof
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Supervisors Dr Haoyu Huang , Lecturer in Structural Engineering, School of Engineering, Newcastle University Prof Sean Wilkinson , Professor in Structural Engineering, School of Engineering, Newcastle
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of Engineering, Newcastle University Prof Sean Wilkinson , Professor in Structural Engineering, School of Engineering, Newcastle University Eligibility Criteria We are adopting a contextual admissions process