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an efficient and mature technology, yet it requires high temperatures and has a large carbon footprint. This PhD project addresses a key challenge: efficiently producing bio-methanol from abundant
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The student will gain expertise in nanofabrication, microscopy, and electrokinetic measurements, along with potential involvement in electrical and spectroscopic techniques. This project offers extensive
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, and motivated to improve workplace safety in healthcare technologies and to work across research, industry, and medical engineering. Methodology The overall aim of the project is to design and evaluate
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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 international partners. Research will be done in the cooperation with Literal Labs, a NU spin-off from the School of Engineering that is working on logic-based ML models and with National Edge AI Hub. Number
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whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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(Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How to apply You must apply through the University’s Apply to Newcastle Portal Once
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must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (e.g. Geoscience, Civil Engineering, Physics, or Computational
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of Engineering, Newcastle University , this PhD studentship is part of the Water Infrastructure & Resilience (WIRe) CDT Number Of Awards 1 Start Date 28 September 2026 Award Duration 4 years Application Closing