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University of Liverpool, School of Electrical Engineering, Electronics and Computer Science PhD Projects, Programs & Scholarships

We have 6 University of Liverpool, School of Electrical Engineering, Electronics and Computer Science PhD Projects, Programs & Scholarships

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  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.
  Assurance of Machine Learning Enabled Systems
  Dr L Dennis, Dr X Huang
Application Deadline: 31 January 2019
This project is to develop techniques for the assurance of learning-enabled systems, whose components may be obtained by training with data-driven machine learning techniques.
  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.
  Designing efficient search strategies for new materials
  Dr D Bollegala, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2019
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
Application Deadline: 30 June 2019
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.
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