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, or higher) degree in Mathematics, Computer Science, Statistics, Engineering, Physics, or related STEM areas. Scholarship: The studentship is for 3 years and will provide an annual tax-free stipend of £20,662
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(with Merit or Distinction), in a related field such as (but not limited to) Engineering, Physical Sciences, and Mathematics. Experimental experience would be an advantage but not required as full
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prediction. This project is a collaborative effort between the School of Computing & Mathematical Sciences (CMS) and the School of Engineering (SoE) to utilise expertise and facilities between two schools
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to power engineering, mathematics, computing and energy economics. The successful candidate will have excellent understanding in the fields of power system operations and economics. Experience in data
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Novel topologies and technologies for advanced reluctance machines Key information Lead supervisors: Dr Pedram Asef Application deadline: 15 June 2024 Project start date: 01 October 2024 Project duration: 4 years Studentship funding: Full Home/UK tuition fees (currently £6,035/year) and...
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at Imperial College London. You will have a 1st or 2:1 class honours degree in mechanical engineering, physics, mathematics, or a related subject, and an enquiring and rigorous approach to research together
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of Network Science, Complexity Theory, and Data Science. The team is made up of researchers in fields such as data science, computer science, and mathematics, that work together to develop innovative methods
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. Being self-motivated and enthusiastic about AI for healthcare. Have a good first degree in computer science, biomedical engineering, applied statistics/mathematics, or any-related field. Strong problem
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of Network Science, Complexity Theory, and Data Science. The team is made up of researchers in fields such as data science, computer science, and mathematics, that work together to develop innovative methods
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for Compressor Technology. Eligibility and requirements It is expected that the candidate has a good mathematical background, excellent knowledge of thermodynamics, fluid mechanics and vibrations and holds a