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computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including mechanical testing and links with industry and with our Advanced Manufacturing
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the commercialisation of the approach to the power generation sector. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. This project
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, Chemistry, Applied Mathematics, or other Relevant Discipline. View DetailsEmail EnquiryApply Online
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in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. View DetailsEmail EnquiryApply Online
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and mathematical modeling and design technology will be developed together with supplementary experimental investigations to analyze and improve the overall performances of the wind turbine. The work
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have degrees in engineering, mathematics, sciences (including biology and psychology) or subjects where robotics may be applied may all be suitable. Full details of how to apply can be found
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/battery systems for distributed power generation. The balance of economics and performance of the system will be the main objective of the research. Computer modeling techniques will be employed in order to
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different disciplines including engineering, neuro-computation and psychology. Students with either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in engineering, mathematics
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the wind farm to reduce the turbine wake effects and maximize the wind farm power output. Advanced mathematical and computational fluid dynamics modeling techniques will be employed with supplementary
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for this project should have an MSc, MMath or MEng in mathematics, statistics, physics, aerospace engineering, signal processing, electrical engineering or a related subject. Full details of how to apply can be