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We have 25 parallel computing PhD Projects, Programmes & Scholarships

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parallel computing PhD Projects, Programmes & Scholarships

We have 25 parallel computing PhD Projects, Programmes & Scholarships

A Framework to Use Parallel Computing and Simulations for Net-Zero Built Environment

The UK was the first major economy that passed net-zero emission law. The reduction of carbon emissions in the construction industry mostly relied upon a ‘fabric first’ approach in addition to use renewables. Read more

Digital twin railway network

Research at Sheffield has been developing models of the railway network from a range of perspectives including smart-grid energy consumption, passenger satisfaction, and integration of rail with wider city and regional transport networks. Read more

Photo-chemical adaptive integrated circuits for next generation neuromorphic computing

Neuromorphic computing, i.e., an approach to information processing inspired in basic morphology and working principles of the brain, is a rapidly growing area of research due to the availability of high-speed hardware and need for artificial intelligence (AI) systems across a wide range of applications. Read more

AI to the rescue of climate change, modelling air quality for cleaner urban planning

  Research Group: Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group. Proposed supervisory team. Dr Lakshmi Babu Saheer. Dr Javad Zarrin. Read more

Numerical models for a new combustion era

Hydrogen will be, among the synthetic fuels, the preferable energy carrier able to address the spatial and temporal separation between energy production (renewable source) and consumption. Read more

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

Information Leakage Control in Machine Learning Models for Privacy Assurance

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more
Last chance to apply

On-Chip Quantum AI Hardware

Our vision is to develop a new generation of AI and quantum hardware based on on-chip integrated photonic and nanoelectronic systems. Read more

Wavelength-flexible, Single-frequency Fibre Lasers

Supervisory Team: Morten Ibsen, Jayanta Sahu. Project Description. Fibre lasers have seen a rapid development in output power and performance over the past three decades and have revolutionised the application space for photonics. Read more

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