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Physical Chemistry PhD Projects, Programs & Scholarships in Liverpool

We have 13 Physical Chemistry PhD Projects, Programs & Scholarships in Liverpool

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Showing 1 to 13 of 13
  Broad spectrum antiviral and antibiofilm materials to treat hospital acquired infections
  Dr RA D'Sa
Application Deadline: 30 June 2020

Funding Type

PhD Type

Applications will close as soon as a suitable candidate is found.
  Development of machine learning, mathematical optimisation and algorithmic techniques for materials chemistry problems
  Dr V Kurlin, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 20 December 2020

Funding Type

PhD Type

This is an opportunity to undertake one of our new and exciting cross-disciplinary projects lying at the interface between computer science / mathematics and materials chemistry.
  Designing efficient search strategies for new materials discovery (Reference LRC1907CS)
  Prof M J Rosseinsky, Dr V Kurlin, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2020

Funding Type

PhD Type

There is an urgent need to develop new experimental strategies to discover functional materials.
  SHINERS for the study of electrochemical and catalytic processes
  Dr LJ Hardwick
Application Deadline: 1 June 2020

Funding Type

PhD Type

The PhD project in partnership with the global science and chemicals company Johnson Matthey (JM) will involve the growth of SHell Isolated Nanoparticles for Enhanced Raman Spectroscopy (SHINERS) and their use in-operando to study electrochemical and catalytic processes.
  Development and application of in-situ electrochemical TEM methods for energy storage application
  Dr B Mehdi
Application Deadline: 31 August 2020

Funding Type

PhD Type

The drive to harness alternative energy sources that avoid environmentally damaging hydrocarbon fuels has led to a global research effort into the development of new energy storage technologies.
  Plasma-enhanced catalytic CO2 conversion to value-added fuels
  Dr X Tu, Assoc Prof TY Chen
Applications accepted all year round

Funding Type

PhD Type

This project is part of a 4-year Dual PhD degree programme between the National Tsing Hua University (Taiwan) and the University of Liverpool (England).
  Discovery of transparent conductors for sustainable buildings using Deep Learning (Reference NSGML2020PS)
  Prof M J Rosseinsky, Prof J Y Goulermas, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2020

Funding Type

PhD Type

Transparent conductors are essential for the sustainable future of advanced societies as they are key to the reduction of the energy demand in buildings, and also as transparent electrodes in solar energy conversion.
  Discovery of transparent conductors for sustainable buildings using Machine Learning and Advanced Data Analytics (Reference NSGML2020CS)
  Prof J Y Goulermas, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2020

Funding Type

PhD Type

Transparent conductors are essential for the sustainable future of advanced societies as they are key to the reduction of the energy demand in buildings, and also as transparent electrodes in solar energy conversion.
  Vapour deposited coatings for long cycle-life Li-ion positive electrodes
  Dr LJ Hardwick, Prof M J Rosseinsky
Application Deadline: 1 June 2020

Funding Type

PhD Type

The positive electrode (or cathode) represents one of the greatest barriers to increasing the energy density of lithium-ion batteries.
  Development of metabolomics for understanding AMR in mixed infections
  Prof R Goodacre
Applications accepted all year round

Funding Type

PhD Type

Without correct antibiotic stewardship we could be cast back to a pre-infective era where we have run out of antibiotics to treat life-threatening infections.
  Understanding and dissecting microbial communities with Raman spectroscopy
  Prof R Goodacre
Applications accepted all year round

Funding Type

PhD Type

We have shown that it is possible to label bacteria with heavy isotopes of carbon (13C) and nitrogen (15N) and this incorporation within cellular biomass of heavy isotopes has led to significant shifts in certain vibrational modes from amino acids and nucleic acids that can be readily detected with Raman spectroscopy.
  Application of artificial intelligence to analysis of chemical and structural data
  Dr S Chong, Dr L Chen
Applications accepted all year round

Funding Type

PhD Type

Please note that this project will remain open until a successful candidate is found. The analysis of structural characterisation data is a time-consuming stage in the development of new functional materials.
  EPSRC CDT in Nuclear Energy - GREEN (Growing skills for Reliable Economic Energy from Nuclear)

Funding Type

PhD Type

The GREEN CDT is a consortium of the five universities of Lancaster, Leeds, Liverpool, Manchester and Sheffield, which aims to train the next generation of expert nuclear scientists and engineers.
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