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Yasser Mahmoudi Larimi
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PhD Studentship: CFD of Particle-Based Long-Duration Energy Storage Systems The University of Manchester in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Jan 23, 2027
Country
United Kingdom
University
The University of Manchester
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About this position
This PhD studentship at The University of Manchester explores advanced modelling and simulation for particle-based long-duration energy storage systems. The project combines computational fluid dynamics, high-fidelity multi-physics modelling, and physics-informed artificial intelligence to understand how high-temperature particle thermal storage behaves under rapidly changing charging and discharging conditions.
The student will investigate transient thermo-fluid behaviour, particle transport, heat transfer, turbulence, thermal stratification, and system-level thermodynamics across multiple spatial and temporal scales. A key aim is to create predictive tools that can support intelligent real-time operation of energy storage systems when renewable electricity supply and demand fluctuate.
The project also integrates emerging AI methods such as Physics-Informed Neural Networks, reduced-order modelling, and digital twin technologies. These approaches will be used to accelerate simulations, improve prediction, and enable online monitoring, fault detection, optimisation, and adaptive control.
The successful candidate will join an internationally leading research team and work in a highly collaborative environment that connects academia, industry, advanced energy technologies, and AI-driven engineering research. The project offers opportunities to engage with large-scale experimental facilities, industrial datasets, and cutting-edge computational platforms.
Supervisor: Prof Yasser Mahmoudi Larimi.
Funding details
Available
What's required
Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s degree (or international equivalent) in a relevant science or engineering-related discipline. The advert asks applicants to include details of current level of study, academic background, any relevant experience, and a paragraph explaining motivation for the PhD project.
How to apply
Contact the main supervisor by email and provide details of your current level of study, academic background, relevant experience, and a motivation paragraph for the project. Use the application link to apply: https://uom.link/pgr-apply-2425.
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Review drafts and confirm requirements with the university.
Professors
Prof at The University of Manchester
United Kingdom
Research Interests
Fluid Mechanics
Aerodynamics
Heat Transfer
Multiphysics Simulation
Thermal Engineering
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.