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confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity
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the heart of our city. The campus is deliberately multidisciplinary, bringing together a wide range of research expertise including business, digital engineering, computer science and innovation. How to apply
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potential of this technology. This is exactly what this PhD project is about. Depending on your interests and skills, you will be working on one or more of the following research challenges: Using fluid
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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
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Fully funded 4-year PhD studentship in Computational Chemistry Supervisor: Dr Zsuzsanna Koczor-Benda, UKRI Future Leaders Fellow (FLF) We are looking for a highly motivated and talented PhD
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your programme of study: search for the ‘Course Title’ using the programme code: 8060F select ‘Electrical and Electronic Engineering PhD (full time) - 8060F' as the programme of study You will then need
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: · search for the ‘Course Title’ using the programme code: 8060F · select 'PhD Electrical and Electronic Engineering (full time)' as the programme of study You will then need to provide the following
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may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How to apply For information on how to apply, please click
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range of future careers. Should there be interest, there is also the possibility of developing teaching and supervision skills on our MSc Astronautics and Space Engineering programme. At a glance
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like MEMS, with minimal computational cost. By developing an advanced reduced order modelling framework, this project will empower engineers and designers to achieve more with less—delivering high-impact