The University of Manchester invites applications for a 3.5-year PhD Studentship in Mechanical Engineering, focused on high-fidelity modelling, CFD, and physics-informed AI for particle-based long-duration energy storage under variable renewables.
The successful candidate will develop multi-physics CFD models and PINNs, study particle dynamics and turbulent heat transfer, and enable real-time monitoring and adaptive control.
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PhD: AI-Driven Particle Thermal Energy Storage Modeling in Manchester employer: The University of Manchester
The University of Manchester is an excellent employer, offering a vibrant work culture that values diversity and inclusivity. As a Sport Centre Assistant, you'll enjoy flexible shifts while contributing to a dynamic environment that prioritises high-quality experiences for all users. With ample opportunities for personal and professional growth, working at our esteemed institution allows you to make a meaningful impact in the community.
Contact Details:
The University of Manchester Recruitment Team
