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Computational Chemistry PhD Projects, Programs & Scholarships in Liverpool

We have 8 Computational Chemistry PhD Projects, Programs & Scholarships in Liverpool

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Showing 1 to 8 of 8
  NMR-Driven Design of Ion Transporting Materials
  Dr F Blanc
Application Deadline: 20 March 2020

Funding Type

PhD Type

Applications are invited for a graduate to join the Department of Chemistry, University of Liverpool, UK for a 36-month Graduate Teaching Assistant PhD studentship.
  Computer Aided Discovery of Organic Materials for Electronics and Bioelectronics
  Prof A Troisi
Application Deadline: 31 January 2020

Funding Type

PhD Type

One PhD studentship is available to work on the theoretical modelling of materials for electronics applications.
  Towards prediction of synthetically accessible organic molecular crystals
  Dr V Kurlin, Prof A Cooper
Application Deadline: 15 March 2020

Funding Type

PhD Type

The vision of the project is to transform materials discovery into a routine computational task. Materials discovery still needs a lot of human expertise, trial-and-error and even pure luck, because there is no rigorous theory to guide an efficient search in the huge space of all theoretically possible materials.
  Computational Studies of Novel Cathode Materials for Li Ion Batteries
  Dr M Dyer
Application Deadline: 30 April 2020

Funding Type

PhD Type

With the growing use of portable electronics and the environmental drive to electrification of transport, the search for lithium ion batteries with improved performance is an exciting and topical area of research.
  Robot grasping and manipulation for materials discovery in a chemistry lab
  Prof A Cooper, Dr S Luo
Application Deadline: 30 January 2020

Funding Type

PhD Type

New materials are the foundation of the development of key technologies such as advanced batteries for electric vehicles, solar cells, catalysts for clean energy, and more.
  Advanced Mathematical Optimisation in Materials Chemistry
  Dr M Dyer, Dr V Gusev
Application Deadline: 30 April 2020

Funding Type

PhD Type

Project. The global optimisation of properties such as energy as a function of atomic positions is prevalent in materials chemistry.
  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.
  Statistical and machine learning methods for risk prediction of cardiovascular diseases from complex longitudinal data
  Dr G Czanner, Dr I Olier, Prof P Lisboa, Prof G Lip
Applications accepted all year round

Funding Type

PhD Type

Project description. Risk prediction models are used in clinical decision making and are used to help patients make an informed choice about their treatment.
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