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University of Reading, School of Chemistry Materials Science PhD Projects, Programs & Scholarships

We have 6 University of Reading, School of Chemistry Materials Science PhD Projects, Programs & Scholarships

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  “Operando” Characterisation of oxide-supported bimetallic Pd/Pt Nanocatalysts
  Dr G Held
Applications accepted all year round

Funding Type

PhD Type

"“Operando” studies of catalyst surfaces under reaction conditions have emerged recently as a very valuable tool for improving catalysts for energy applications and exhaust purification.
  Degradable Inkjet Materials
  Prof W C Hayes, Dr A T Russell, Dr C Wagstaff
Application Deadline: 5 June 2020

Funding Type

PhD Type

This project targets the design, synthesis and characterisation of novel polymer-based degradable materials for use in inkjet ink formulations.
  Nano Materials for Applications in Energy Recovery
  Prof A.V. Powell
Applications accepted all year round

Funding Type

PhD Type

There is an opportunity to pursue a PhD in solid-state materials chemistry. The project will involve the synthesis of novel nano-scale materials for applications in thermoelectric energy harvesting.
  Nanostructured Materials For Energy and Devices
  Dr R Bennett
Applications accepted all year round

Funding Type

PhD Type

Functional Materials are increasingly being developed with nanostructures that alter their physical characteristics in comparison to bulk materials.
  Nanostructured materials for energy applications and sensing.
  Dr J Elliott
Applications accepted all year round

Funding Type

PhD Type

The proposed research area concerns the fabrication and study of the behaviour of mesoporous electrodes. The main focus of the project will be to undertake the control of surface macro-morphology and nanostructure and to investigate how these properties influence surface activity and electrode performance.
  Studying phase transitions by computer simulation techniques
  Dr L Bartok-Partay
Applications accepted all year round

Funding Type

PhD Type

Computer simulation on the atomistic level became a powerful tool in modern chemistry in the past decades. Computational techniques are widely used to augment experiments and make initial predictions, thus saving time and money by reducing the amount of experimental work.
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