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unexplored control parameter in nitride dielectric thin films. By deliberately engineering nanoscale interfaces, multilayer structures offer a powerful route to control electric-field distribution and
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advancement in electric machine performance. Who we are looking for We seek a motivated candidate with at least a high 2:1 degree in Engineering, Physical Sciences, or a related field. Prior experience (such as
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student to revolutionise electrical machine design and development based on programmable 3D electrical steel technology enabled by advanced manufacturing processes and emerging magnetic materials
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. The studentship is aligned with several current priority and proposed research streams within the Faculty of Engineering, ensuring senior researcher expertise will be available to support the student. The broad and
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of