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PhD Studentship: Electrical Machine Architectures for Next-Generation NetZero E-Mobility. the University of Nottingham This project offers an exciting opportunity to undertake cutting edge research
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Photovoltaic Modelling for Performance Optimisation Theme 3: AI-Enhanced Coordination of Renewable Energy for Smarter Grid Management Theme 4: Decoding Social Acceptance: The Community Lens on Large-Scale Solar
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of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system including propulsion motors, power converters, fuel cell and batteries etc within the real-time simulation
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mobility demands motors with higher efficiency, reduced lifecycle impact, and compatibility with evolving drivetrain architectures, there is a clear need for new machine concepts that align with Net Zero
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interest in the linkage between the environment and fertility and the mechanisms involved. An underexplored element of male reproduction concerns the elasticity of the sperm cell membrane. Normal sperm
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manufacture, nuclear waste storage, green platforms for growth of functional materials, fuel cell hermetic seals, electrolytes, carbon capture solvents and thermal energy storage media. It is also vital
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of the fuel-cell electric propulsion system. The tasks of this PhD include Real-time digital twin technology review to understand this technology and its recent development for electrical engineering
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for medical applications, micro-robotics, and materials science. PhD project description: The field of medical therapeutics has valuable applications for mobile devices for efficient drug delivery, called micro
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of healthcare by examining the impact of bottom-up communities and networks promoting change. Healthcare accounts for approximately 5% of the UKs total carbon emissions, and significant activity is underway
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inclusion and encourages applications from all sections of society. The Faculty of Engineering provides a thriving working environment for all PGRs creating a strong sense of community across research