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We have 12 Computer Science (characterization) PhD Projects, Programmes & Scholarships

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Computer Science (characterization) PhD Projects, Programmes & Scholarships

We have 12 Computer Science (characterization) PhD Projects, Programmes & Scholarships

PhD in Quantum Cryptography with Electrons

Are you looking to get advanced doctorate-level training and become a future quantum engineer? We are looking for a highly motivated and enthusiastic student to join our research team for two of our PhD projects in Quantum Computing and Cryptography. Read more

Soft & Crystalline Composite Materials: Developing Total Scattering Workflows for the Interrogation of Structure.

An exciting interdisciplinary project for an enthusiastic student to develop a broad range of expertise, combining the experimental and computationally-based characterisation of advanced composite materials. Read more

Advanced Methods in Hyperspectral Imagery Analysis for Smart Sensing Applications

Hyperspectral imagery, an extension of traditional imaging, has proven to be a significant tool in various scientific fields due to its ability to detect and identify objects based on their unique spectral signatures. Read more

Evaluation of properties of wood pellets for Bioenergy and Carbon Capture and Storage Application

The current state of the art for utilisation of wood pellets is co-firing and the co-generation of biomass combustion products. The safe and effective storage, transportation and processing of wood pellets is then highly important for bioenergy applications. Read more

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

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
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