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Gdansk University of Technology Featured PhD Programmes
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Fluid Mechanics PhD Projects, Programmes & Scholarships

We have 76 Fluid Mechanics PhD Projects, Programmes & Scholarships

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We have 76 Fluid Mechanics PhD Projects, Programmes & Scholarships

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Design and development of reliable electrode for high-performance hydrogen production under fluctuating power supply (Advert Reference: RDFC21-R4/EE/MCE/XUBen)

A key priority for the UK economy is the development of high-value and specialist manufacturing, especially in renewable energy, which strategically aligns to the UK’s commitment to the Net Zero, underpinned by research that is inherently multidisciplinary and disruptive. Read more

Experimental Studies on Quench of HTS High Field Magnets

Supervisory Team.   Yifeng Yang. Project description. Next-generation High Field Superconducting Magnets. Superconducting magnets are the primary worldwide application of superconductivity. Read more

Studentship: Wake modelling of offshore wind turbines in non-neutral atmosphere

The inevitability of climate change1 and net–zero policies across the globe are urgently promoting the need for renewable energies – wind energy is so far the most cost effective – hence, its production will have to increase drastically in the next decade2. Read more

Hydrogen Ventilation in a Geological Disposal Facility

One of the biggest engineering challenges in safeguarding the UK from the legacy of half a century of nuclear power generation may be found in the design of long-term storage for spent fuel. Read more

Investigation on the behaviour of self-pierced rivets (SPR) in high strength 6xxx aluminium alloys

Applications are invited for our EPSRC iCASE funded PhD studentship in. BCAST. for the project “Investigation on the behaviour of self-pierced rivets (SPR) in high strength 6xxx aluminium alloys” starting 1 October 2022. Read more

Supporting heterogeneous architectures in ASiMoV-CCS

ASiMoV-CCS is a new Computation Fluid Dynamics (CFD) and Combustion modelling code that is being developed at EPCC as part of the ASiMoV Strategic Prosperity Partnership project with Rolls-Royce. Read more

Flow dynamics of industrially relevant two-phase particle-liquid suspensions

Funding is available to fully support a PhD research student (including university tuition fees and salary tax free). The candidate must be a UK citizen and should have at least a strong upper second-class (2.1) degree in Chemical Engineering or related discipline. Read more

Computational modelling studies of flow and mixing of particle-liquid systems in industrial stirred vessels

Funding is available to fully support a PhD research student (including university tuition fees and salary tax free). The candidate must be a UK citizen and should have at least a strong upper second-class (2.1) degree in Chemical Engineering or related discipline. Read more

Simulation of cryogenic hydrogen release

We are seeking a PhD candidate to work on an industry project in simulating uncontrolled liquid hydrogen release. Hydrogen is a clean fuel for decarbonization and is commonly transported as liquid in deep cryogenic state (-253°C). Read more

PhD studentship: Experimental Fluid Mechanics

Applications are invited for a PhD studentship in the Department of Mechanical Engineering at the University of Sheffield. The successful candidate will have the opportunity to become a part of a dedicated group working on fundamental and practical aspects of turbulent flows under the supervision of Dr Melika Gul. Read more
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Combining embedded sensor technology and machine learning to quantify swimmers’ performance in a normal training environment

Supervisory Team.   Dr Joseph Banks, Prof Dominic Hudson, Dr Adam Sobey, Prof Stephen Beeby. Project description. Coaching feedback systems in competitive swimming are limited by the quality of the data available, the time taken to set up equipment and post process data. Read more

Physics-Informed Artificial Intelligence Approach for Drug Manufacturing

Fully Funded PhD Studentship for UK students. Pharmaceutical industry is transitioning from traditional batch operations to continuous processing and predictive models will greatly facilitate this transition. Read more

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