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University of Liverpool Computational Chemistry PhD Projects, Programs & Scholarships

We have 12 University of Liverpool Computational Chemistry PhD Projects, Programs & Scholarships

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  Computational Identification of New Inorganic Materials for Automotive Applications
  Prof M Rosseinsky, Dr M Dyer
Application Deadline: 14 May 2019
This position will remain open until a suitable candidate has been found. This 42 month PhD project will apply new computational techniques to discover materials for application as pigments in the automotive industry with reduced environmental and energy impact compared to existing materials.
  Designing efficient search strategies for new materials discovery (Reference LRC1906CHEM)
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019
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
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 D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019
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 D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019
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.
  Mobile robot chemists for autonomous solar fuels research
  Prof A I Cooper
Application Deadline: 30 June 2019
This position will remain open until a suitable candidate has been found. Description. The production of clean solar fuels is a major challenge of our time and a longstanding Holy Grail in chemistry.
  Mobile robot chemists for discovery crystalline materials
  Prof A I Cooper
Application Deadline: 30 June 2019
This position will remain open until a suitable candidate has been found. Description. Crystalline solids are important in a range of applications such as drugs and functional materials for energy applications.
  AI approaches for NMR analysis of biomolecular mixtures
  Dr A Lisitsa, Dr I Barsukov
Applications accepted all year round
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
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019
Reference LRC1903 CS. 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
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019
Reference LRC1905CS. 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.
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