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, and a solid understanding of numerical analysis and familiarity with the use of analytical tools. They should also have knowledge and experience in parallel coding and spectral methods. They must have
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. This research is ideally suited to candidates with interests in photonics, metamaterials, ultrafast optics, nanofabrication, and computational electromagnetism. Strong coding (Python /MATLAB) and experimental
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Northern Advanced Research Training Initiative network. How To Apply Please see https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=nubs012 for application instructions. Shortlisted
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: · search for the ‘Course Title’ using the programme code: 8030F · Research Area: Chemical Engineering · select ‘PhD Chemical Engineering (full time)’ as the programme of study You will then
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your formal application, please name Prof Peter Munro as your proposed supervisor and include Project Code 24001. Contact: For informal inquiries please contact Prof Peter Munro who will be happy
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: · Search for the ‘Course Title’ using the programme code: 8090F · Research Area: Mechanical Engineering · Select ‘PhD Mechanical Engineering (full time) – Mechanical Engineering' as the programme
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CodeB5 7EGStreet5 Mill Pool WayGeofield Contact City Birmingham Website https://www.birmingham.ac.uk/study/postgraduate/research/doctoral-school Street 5 Mill Pool Way, Edgbaston, Birmingham Postal Code B5
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the programme code: 8080F Research area: Statistics Select ‘PhD Mathematics (Full Time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A
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. Daily activities include coding, data analysis, simulation modelling, and collaboration with industry partners. Some travel to manufacturing facilities and conferences may be required. This funded PhD
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honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD is advantageous but not mandatory—an eagerness to learn and innovate is key! Full training will