18 experiment-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at University of Nottingham
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experience in electrical machines, power electronics, control systems, thermal management, or related fields (desirable). Experience using simulation software such as COMSOL Multiphysics, MATLAB, and/or Ansys
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experience in electrical machines, power electronics, control systems, thermal management, or related fields (desirable). Experience using simulation software such as COMSOL Multiphysics, MATLAB, and/or Ansys
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, mechatronics, physics, materials science/engineering, mechanical/aerospace engineering, or a closely related subject, is essential. A strong background or relevant experience in high-voltage engineering
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, you will: Run controlled decomposition experiments to quantify N, P, and K release from key cover crop species (cereals, brassicas, legumes, and mixtures) under UK conditions. Establish multi-year field
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with a First Class or high Upper Second-Class degree in Electrical Engineering or a closely related discipline. Desirable experience includes: Electrical machines or electric drives; Electromagnetic
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, you will: Run controlled decomposition experiments to quantify N, P, and K release from key cover crop species (cereals, brassicas, legumes, and mixtures) under UK conditions. Establish multi-year field
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-order predictive models. The student will gain hands-on experience in industrial applications, including practical aspects of aeroengine oil system design, spending part of their PhD based on-site
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laboratories and cleanroom facilities. Gain experience by attending international conferences and training events. Develop skills highly valued in both academia and industry. Project description Vision
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science and engineering. Access state-of-the-art laboratories and high-performance computing facilities. Gain experience by attending international conferences and training events. Develop skills highly
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where possible validation data will be taken from industrial and openly available literature. The successful candidate will gain experience in computational, analytical and experimental approaches across