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PhD Studentship: Dynamic Analysis of Particle-Based Long-Duration Energy Storage Systems

The University of Manchester

Application deadline: All year round Research theme: Mechanical Engineering; Heat Transfer; Thermal Engineering; Energy Storage; Particle Dynamics This 3.5-year PhD studentship is open to both Home (UK) and international applicants. The successful candidate will receive a tax-free annual stipend at the UKRI rate (£21,805 for 2026/27, subject to annual uplift), with tuition fees fully covered. The stipend is expected to increase each year. The start date is October 2027. We strongly encourage early applications,...

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Application deadline: All year round Research theme: Mechanical Engineering; Heat Transfer; Thermal Engineering; Energy Storage; Particle Dynamics This 3.5-year PhD studentship is open to both Home (UK) and international applicants. The successful candidate will receive a tax-free annual stipend at the UKRI rate (£21,805 for 2026/27, subject to annual uplift), with tuition fees fully covered. The stipend is expected to increase each year. The start date is October 2027. We strongly encourage early applications,...

Opportunity details

Application deadline: All year round Research theme: Mechanical Engineering; Heat Transfer; Thermal Engineering; Energy Storage; Particle Dynamics This 3.5-year PhD studentship is open to both Home (UK) and international applicants. The successful candidate will receive a tax-free annual stipend at the UKRI rate (£21,805 for 2026/27, subject to annual uplift), with tuition fees fully covered. The stipend is expected to increase each year. The start date is October 2027. We strongly encourage early applications, as the advert may close before the stated deadline. This PhD project focuses on the development of next-generation high-fidelity modelling, computational fluid dynamics (CFD), and physics-informed artificial intelligence frameworks for particle-based long-duration energy storage (LDES) systems operating under highly variable renewable energy conditions. As modern power systems increasingly rely on intermittent wind and solar generation, there is an urgent need for intelligent, flexible, and thermally efficient energy storage technologies capable of supporting grid stability and deep decarbonisation. The research will investigate the transient thermo-fluid behaviour, heat transfer, particle transport, and dynamic system response of high-temperature particle-based thermal energy storage systems subjected to rapidly changing charging and discharging conditions. The project aims to develop advanced predictive and control methodologies that enable intelligent real-time operation under uncertain renewable generation, electricity demand, and market conditions. A major component of the project will involve the development of high-fidelity multi-physics CFD models to study complex particle dynamics and turbulent heat transfer within key system components. The student w...

Eligibility

Application deadline: All year round Research theme: Mechanical Engineering; Heat Transfer; Thermal Engineering; Energy Storage; Particle Dynamics This 3.5-year PhD studentship is open to both Home (UK) and international applicants. The successful candidate will receive a tax-free annual stipend at the UKRI rate (£21,805 for 2026/27, subject to annual uplift), with tuition fees fully covered. The successful candidate will gain expertise in particle dynamics, turbulent heat transfer, AI for energy storage systems, and advanced computational modelling, positioning them at the forefront of emerging digital energy technologies. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.

Requirements

Application deadline: All year round Research theme: Mechanical Engineering; Heat Transfer; Thermal Engineering; Energy Storage; Particle Dynamics This 3.5-year PhD studentship is open to both Home (UK) and international applicants. The successful candidate will receive a tax-free annual stipend at the UKRI rate (£21,805 for 2026/27, subject to annual uplift), with tuition fees fully covered. The successful candidate will gain expertise in particle dynamics, turbulent heat transfer, AI for energy storage systems, and advanced computational modelling, positioning them at the forefront of emerging digital energy technologies. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.

Funding and benefits

Funding eligibility: UK Students, International Students. Funding amount: £21,805 tax-free annual stipend and tuition fees fully covered.

How to apply

Application deadline: All year round Research theme: Mechanical Engineering; Heat Transfer; Thermal Engineering; Energy Storage; Particle Dynamics This 3.5-year PhD studentship is open to both Home (UK) and international applicants. We strongly encourage early applications, as the advert may close before the stated deadline. To apply please contact the main supervisor; Prof Yasser Mahmoudi Larimi - yasser.mahmoudilarimi@manchester.ac.uk.

Open the official application information

Verify the deadline and final conditions on the official provider page before submitting an application.

Host country/countriesUnited Kingdom
Eligible countries/nationalitiesAll nationalities
Study levelPhD / Doctorate
Field of studyEngineering
Funding typeStipend
DeadlineJan 23, 2027
Academic year/intakeNot stated
Application feeCheck provider details.

Source and verification

Check the current official call before applying

Recorded source check: October 23, 2026. A stored check date does not guarantee that every field is complete or still current. Compare the provider, eligibility, funding and deadline with the live official call before applying.

Open source: www.jobs.ac.uk

Benefits

Funding eligibility: UK Students, International Students. Funding amount: £21,805 tax-free annual stipend and tuition fees fully covered.

Eligibility summary

Application deadline: All year round Research theme: Mechanical Engineering; Heat Transfer; Thermal Engineering; Energy Storage; Particle Dynamics This 3.5-year PhD studentship is open to both Home (UK) and international applicants. The successful candidate will receive a tax-free annual stipend at the UKRI rate (£21,805 for 2026/27, subject to annual uplift), with tuition fees fully covered. The successful candidate will gain expertise in particle dynamics, turbulent heat transfer, AI for energy storage systems, and advanced computational modelling, positioning them at the forefront of emerging digital energy technologies. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.

Requirements

Application deadline: All year round Research theme: Mechanical Engineering; Heat Transfer; Thermal Engineering; Energy Storage; Particle Dynamics This 3.5-year PhD studentship is open to both Home (UK) and international applicants. The successful candidate will receive a tax-free annual stipend at the UKRI rate (£21,805 for 2026/27, subject to annual uplift), with tuition fees fully covered. The successful candidate will gain expertise in particle dynamics, turbulent heat transfer, AI for energy storage systems, and advanced computational modelling, positioning them at the forefront of emerging digital energy technologies. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.

Documents required

Not stated. Verify with the provider.

Language/test requirements

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Prime Scholarship Alerts is an independent listing board, not the scholarship provider, university or funder. We do not select applicants, collect provider application fees or guarantee an award. Verify requirements, deadlines, funding, fees and application instructions through the current provider page before applying.

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