Applied Mathematics (reconstruction) PhD Projects, Programmes & Scholarships

We have 7 Applied Mathematics (reconstruction) PhD Projects, Programmes & Scholarships

Computational imaging in low resource settings

Heriot-Watt University School of Engineering & Physical Sciences

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on computational imaging in low-resource settings. Read more

Supervisor: Prof Yves Wiaux

17 May 2024 PhD Research Project Competition Funded PhD Project (Students Worldwide)

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Macroscopic traffic control and optimisation

University of Sheffield Department of Automatic Control and Systems Engineering

Traffic flows are the bloodstreams of a developed country. A failing transportation system impedes economic growth and deteriorates human lives. Read more

Supervisor: Dr A Selivanov

Year round applications PhD Research Project Self-Funded PhD Students Only

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Characterisation of tissue microstructure from non-invasive MRI using Machine Learning

Cardiff University Cardiff School of Physics and Astronomy

The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including aging and cancer. Read more

Supervisors: Dr L Beltrachini, Prof K Murphy

Year round applications PhD Research Project Self-Funded PhD Students Only

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AI enhanced 3D human body shape estimation and garment redressing from clothed 3D scan sequences

Coventry University Centre for Computational Science and Mathematical Modelling

UK fashion retailers, particularly in online retail, have long struggled with the cost of returns. To reduce the number of returns in the fashion industry, 3D body scanning technology is a trend to build digital twins for customers, which makes it possible to fit garments remotely. Read more

Supervisor: Dr P Hu

27 May 2024 PhD Research Project Funded PhD Project (Students Worldwide)

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Dispersionless integrable systems in 2+1 dimensions

Loughborough University Department of Mathematical Sciences

Dispersionless integrable systems occur in a wide range of applications in various areas of pure and applied mathematics. In 2+1 dimensions, there exists an efficient approach to the classification of integrable systems of this kind based on the method of hydrodynamic reductions pioneered by the Loughborough group [1]. Read more

Supervisor: Prof E Ferapontov

1 July 2024 PhD Research Project Self-Funded PhD Students Only

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Model Based Deep Learning for Low-light Computational Imaging: Application to Robust Multimodal 3D Imaging

Heriot-Watt University School of Engineering & Physical Sciences

This project aims to design new computational algorithms at the interface of statistical modelling, optimization and deep learning to solve multimodal inverse problems for 3D imaging. Read more

Supervisor: Dr A Halimi

Year round applications PhD Research Project Funded PhD Project (Students Worldwide)

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Enhanced Deep Learning via Optimisation in Computational Imaging

Heriot-Watt University School of Engineering & Physical Sciences

Context. The project will be co-supervised at Heriot-Watt University (Edinburgh, UK), and CentraleSupélec (University Paris-Saclay, France). Read more

Supervisors: Dr A Repetti, Prof JCP Pesquet

Year round applications PhD Research Project Funded PhD Project (European/UK Students Only)

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We have 7 Applied Mathematics (reconstruction) PhD Projects, Programmes & Scholarships

Applied Mathematics (reconstruction) PhD Projects, Programmes & Scholarships

We have 7 Applied Mathematics (reconstruction) PhD Projects, Programmes & Scholarships

Computational imaging in low resource settings

Macroscopic traffic control and optimisation

Characterisation of tissue microstructure from non-invasive MRI using Machine Learning

AI enhanced 3D human body shape estimation and garment redressing from clothed 3D scan sequences

Dispersionless integrable systems in 2+1 dimensions

Model Based Deep Learning for Low-light Computational Imaging: Application to Robust Multimodal 3D Imaging

Enhanced Deep Learning via Optimisation in Computational Imaging

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