Coventry University Featured PhD Programmes
University College London Featured PhD Programmes
Engineering and Physical Sciences Research Council Featured PhD Programmes
Imperial College London Featured PhD Programmes
University of Bristol Featured PhD Programmes
10 miles

University of Liverpool Computational Chemistry PhD Projects, Programs & Scholarships

We have 11 University of Liverpool Computational Chemistry PhD Projects, Programs & Scholarships

  • Computational Chemistry×
  • University of Liverpool×
  • clear all
Order by 
Showing 1 to 10 of 11
  Computational materials design and discovery
  Prof M J Rosseinsky
Application Deadline: 30 June 2019

Funding Type

PhD Type

This project will suit applicants with interests in the development and application of new methods for the computational understanding and prediction of new materials.
  Designing efficient search strategies for new materials discovery (Reference LRC1906CHEM)
  Dr Y Goulermas, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019

Funding Type

PhD Type

This position will remain open until a suitable candidate has been found. There is an urgent need to develop new experimental strategies to discover functional materials.
  Discovery of complex intermetallics as advanced magnetic and electrocatalytic materials (Reference LRC1901)
  Prof M J Rosseinsky, Dr A Cowan, Dr J Alaria, Dr M Gaultois
Application Deadline: 31 July 2019

Funding Type

PhD Type

This project involves the experimental design and synthesis of new intermetallic materials and characterisation of their crystal structures and magnetic and electrocatalytic properties.
  Discovery of high-temperature superconductors using Deep Learning (Reference LRC1902CHEM)
  Dr Y Goulermas, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019

Funding Type

PhD Type

High temperature superconductivity has great promise to transform society because it offers the transmission of electricity without loss of energy and the creation of large magnetic fields with applications including healthcare.
  Discovery of solid electrolytes for new battery technology using Deep Learning (Reference LRC1904CHEM)
  Dr Y Goulermas, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019

Funding Type

PhD Type

This position will remain open until a suitable candidate has been found. In the quest towards safer and higher capacity batteries, the development of an all-solid-state battery is a top priority, and is currently limited by the lack of a high-performance material to serve as a solid state electrolyte.
  AI approaches for NMR analysis of biomolecular mixtures
  Dr A Lisitsa, Dr I Barsukov
Applications accepted all year round

Funding Type

PhD Type

This position will remain open until a suitable candidate has been found. This is an interdisciplinary project (Computer Science and Biochemistry) aimed at the development of novel AI methods for the analysis of Nuclear Magnetic Resonance spectra.
  Deep Learning with main target to Discover High-Temperature Superconductors (Ref: LRC1903CS)
  Dr JY Goulermas, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019

Funding Type

PhD Type

High temperature superconductivity has great promise to transform society because it offers the transmission of electricity without loss of energy and the creation of large magnetic fields with applications including healthcare.
  Deep Learning with main target to Discover Solid Electrolytes for New Battery Technology (Ref: LRC1905CS)
  Dr Y Goulermas, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019

Funding Type

PhD Type

In the quest towards safer and higher capacity batteries, the development of an all-solid-state battery is a top priority, and is currently limited by the lack of a high-performance material to serve as a solid state electrolyte.
  Designing efficient search strategies for new materials (Ref: LRC1907CS)
  Dr Y Goulermas, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019

Funding Type

PhD Type

This position will remain open until a suitable candidate has been found. Reference LRC1907CS. There is an urgent need to develop new experimental strategies to discover functional materials.
  Optimal search strategies for automated, robotic material discovery
  Dr J Fearnley, Prof A Cooper
Applications accepted all year round

Funding Type

PhD Type

This position will remain open until a suitable candidate has been found. New functional materials are central to society but they can be hard to find in the laboratory because of the astronomical search space that is defined by the available atomic and molecular building blocks.
Show 10 15 30 per page


FindAPhD. Copyright 2005-2019
All rights reserved.