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We have 9 University of Southampton Physical Chemistry PhD Projects, Programmes & Scholarships for Self-funded Students

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Chemistry

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University of Southampton

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I am a self funded student


University of Southampton Physical Chemistry PhD Projects, Programmes & Scholarships for Self-funded Students

We have 9 University of Southampton Physical Chemistry PhD Projects, Programmes & Scholarships for Self-funded Students

Large-scale electrochemical DFT models of a PEM hydrogen fuel cell

Supervisory Team: Chris-Kriton Skylaris (90%) Andrea Russell (10%). Project description. Proton-exchange Membrane (PEM) hydrogen fuel cells are an emerging technology for environmentally sustainable transport and other carbon-neutral energy applications. Read more

CDT-QTE: Driven propagation of quantum order down a nuclear spin wire

Supervisory Team. Prof Malcolm Levitt FRS, Dr Marina Carravetta, Prof Ilya Kuprov. Project description. This project is part of the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton. Read more

CDT-QTE: Symmetry-based optimal control of nuclear spins

Supervisory Team. Prof Malcolm Levitt FRS, Dr Marina Carravetta, Prof Ilya Kuprov. Project description. This project is part of the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton. Read more

Application of Linear-Scaling Quantum Mechanics Methods to Hydrogen Transport Through Complex Materials

Supervisory Team. Chris-Kriton Skylaris (80%) Jeremy Frey (20%). Project Description. The computational simulation of chemical reactions in materials requires an accurate, explicit description of their electrons. Read more

Early Detection and Stratification of Dementia using Transformative Non-Invasive Holistic Optical Biomarker Technology in Biofluids

Supervisory Team: Professor Sumeet Mahajan, Professor Amrit Mudher, Professor Chris Kipps. Project description. Globally, there is a growing and a huge unmet need for tools and technologies that allow rapid, affordable and accurate dementia diagnosis. Read more

Machine learning analysis of large-scale crystal structure prediction

Supervisory Team:  Prof. Graeme Day. Project description. A fully funded 3.5-year PhD studentship is available in the area of computational materials discovery, as part of a prestigious international Synergy grant funded by the European Research Council. Read more

Pushing the scale boundaries for degradation simulations of industrially relevant materials

Supervisory Team:  Chris-Kriton Skylaris. Project description. The computational simulation of chemical reactions in materials requires an accurate, explicit description of their electrons. Read more
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