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Position Summary: Applications are invited for a PhD studentship, to be undertaken as part of the project “System Services in 100% Renewable Grids” at Imperial College London (Electrical and
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sustainable and circular value chain in the automotive sector. We are looking to recruit two outstanding Home PhD students as part of this new collaboration between JLR and Imperial College London, with
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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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environments. In recent years Imperial College London have made several breakthroughs in understanding the physics of turbulent/turbulent entrainment and we now seek to apply these to the important problem
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this YouTube video: https://youtu.be/EVbX5d7OqzM To find out more about research at Imperial College London in this area, go to: https://www.imperial.ac.uk/mechanical-engineering/research/ https
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or electronic engineering, machine learning, medical physics or neuroscience. Knowledge of electronics is essential. Strong programming skills (MATLAB is essential) & Phyton (TensorFlow library, desirable
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to present their findings at major international conferences and submit publications to refereed journals. Applicants should have a strong background in aerospace engineering or physics. The applicants should
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Engineering, Imperial College London. You will join the multinational TALENTS Marie Skłodowska-Curie DoctoralTraining Network as a Doctoral Candidate (DC) and you will be employed as a research assistant at
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for enrolment for the PhD degree at Imperial College London. You will have a 1st class honours degree in mechanical engineering, mechatronics, electrical engineering, or a related subject, and an enquiring and
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dynamics and the development of experimental methodologies. The project includes close collaboration with Imperial College London and ETH Zurich, Switzerland, and the possibility of visiting