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Condensed Matter Physics (ai) PhD Projects, Programs & Scholarships

We have 7 Condensed Matter Physics (ai) PhD Projects, Programs & Scholarships

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  AI Driven Mesoscopic Material Design
  Research Group: Multiscale Modelling
  Dr A Patti, Dr F Siperstein
Application Deadline: 31 August 2019

Funding Type

PhD Type

A fully-funded iCASE PhD position in AI Driven Mesoscopic Material Design is available in the Multiscale Modelling Group at the School of Chemical Engineering and Analytical Science (CEAS) at the University of Manchester, working with Dr Alessandro Patti, in collaboration with Dr Breanndán Ó Conchúir from IBM Research at Daresbury.
  Artificial Intelligence & Nanophotonic Materials
  Prof K MacDonald, Prof N Zheludev, Dr V Savinov
Applications accepted all year round

Funding Type

PhD Type

Artificial intelligence (AI) is transforming the way in which scientific discoveries are made. In this project we will apply AI to the development of advanced materials for photonic applications.
  PhD Studentship in Nano-electronics: Resistive-switching memory devices (ReRAM/FeRAM/memristor) and its application in neuromorphic and in-memory computing systems
  Prof W Zhang
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a PhD position in the Department of Electronics and Electrical Engineering, Liverpool John Moores University (LJMU).
  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.
  Development and Application of Deep Learning in materials chemistry
  Dr Y Goulermas, Prof M J Rosseinsky
Application Deadline: 30 June 2019

Funding Type

PhD Type

In the quest for key advanced materials (e.g. cathodes and electrolytes for safer and higher capacity batteries) the interplay of many considerations including structure, bonding, and defect chemistry makes it challenging to develop a material that is stable and has the required performance e.g.
  Discovery of new transparent conducting materials
  Prof M J Rosseinsky
Application Deadline: 30 June 2019

Funding Type

PhD Type

This project aims to develop new transparent conducting materials for optoelectronic applications on glass.
  Experimental 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 synthesis of new materials (inorganic, organic, polymeric, hybrid) exploiting the exceptional facilities of the Materials Innovation Factory.
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