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We have 88 Computer Science PhD Projects, Programmes & Scholarships for UK Students in Southampton

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Computer Science

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Southampton  United Kingdom

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Computer Science PhD Projects, Programmes & Scholarships for UK Students in Southampton

We have 88 Computer Science PhD Projects, Programmes & Scholarships for UK Students in Southampton

High-power Fibre Lasers for Visible Wavelengths

Supervisory Team: Prof Jayanta Sahu and Prof Johan Nilsson. Project description. Visible lasers are indispensable for applications such as display, underwater communication, microscopy, bio-photonics, optical storage, and materials processing. Read more

Unlocking the Future of High-Capacity Ground-to-Satellite Communications

Supervisory Team: Dr. Kyle Bottrill, Dr. Yongmin Jung, and Prof. Periklis Petropoulos . Project Description. High-capacity ground-to-satellite communications have long relied on microwaves for data transmission, as they have since the very first communications satellites were launched. Read more

Photonic time crystals

Supervisory Team: Kevin MacDonald, Nikolay Zheludev. Project description. Time crystals are an eagerly sought phase of matter in which time-translation symmetry is broken. Read more

Phased array fibre lasers with machine learning

Supervisory Team: Prof Johan Nilsson, Dr William Kerridge-Johns. Project description. This project combines state of the art optical fibre laser amplifiers with machine learning control to produce next-generation lasers. Read more

Climate-Optimised Aircraft Design

Supervisory Team: Edward Richardson; Ali Elham. Project description. The condensation trail (contrail) emissions of future low-CO2 aircraft will be assessed as part of a climate-optimised aircraft design methodology. Read more

Concept Mission Design for Hex-Sats to detect biological agents from VLEO

Supervisory Team:  Dr Alexander Wittig, Dr Minkwan Kim. Project description. In this PhD, we will develop a complete mission concept for satellites to detect the release of biological agents on the ground through constant monitoring from space. Read more

Machine learning approaches to cross-modal information fusion in podiatric X-ray imaging

Supervisory Team.   Thomas Blumensath (ISVR), Alex Dickinson (Engineering Sciences). Project description. Three dimensional images of the foot taken under loading conditions can provide a valuable clinical tool for the assessment of bone alignment related complaints. Read more

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