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University of Southampton Physical Chemistry PhD Projects, Programs & Scholarships

We have 11 University of Southampton Physical Chemistry PhD Projects, Programs & Scholarships

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We have 11 University of Southampton Physical Chemistry PhD Projects, Programs & Scholarships

2D Materials for Resistive RAM Applications

Supervisory Team.   Dr Spyros Stathopoulos, Dr Dimitra Georgiadou, Prof Themis Prodromakis. Project description. This PhD studentship aims at developing the next generation of resistive random-access memories (RRAM) based on 2D materials fabricated with flexible substrates. Read more

Photodetectors for Neuromorphic and Smart Imaging Applications

Supervisory Team.   Dr Dimitra Georgiadou. Project description. This PhD studentship aims at exploring advanced materials and novel nanopatterning techniques to develop the next generation of printable and flexible photodetectors. Read more

Glass Surface Interactions in Hollow Core Fibres

  Research Group: Fibre & Systems Group
Supervisory Team.   Dr Natalie Wheeler, Dr Yong Chen. Project description. We are looking for a PhD student with a background in chemistry, materials science, physics to join us to study the surface chemistry of thin glass membranes in hollow core fibres (HCFs). . Read more

Atomistic and multiscale simulations of next generation energy storage systems

Supervisory Team.   Professor Chris-Kriton Skylaris (80%) and Professor Denis Kramer (20%). Project description. Li-ion batteries have a vast range of applications from mobile phones and laptops to electric vehicles. Read more

New simulation frontiers at the intersection of catalysis and chemical separations

Supervisory Team.   Professor Chris-Kriton Skylaris. Project description. The aim of this PhD project is to develop, use and deploy software and workflow tools that will enable novel science at the interface of chemical separations and catalytic transformations. Read more

Exploring chemical space for computational materials discovery

Supervisory Team.    Prof. Graeme Day. Project description. A fully funded PhD studentship is available in the area of computational materials discovery, as part of a prestigious international Synergy grant. Read more

Machine learning methods in crystal structure prediction

Supervisory Team.    Prof. Graeme Day. This project will develop computational methods to guide the discovery of new materials, combining state-of-the-art computational methods for crystal structure prediction (CSP) with machine learning approaches for interpreting the predicted crystal structure landscapes. Read more
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