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Research Associate: Developing a Predictive Mode ... (No replies)

nh
6 years ago
nh 6 years ago

Location: Department of Chemistry, Imperial College London

Salary : £38,800 to £44,220 per annum

Term: 24 months with the possibility of extension

The ubiquitous nature of corrosion is very costly in replacement and maintenance of much of our built environment. The prospect of developing completely new strategies for its detection, prevention and mitigation has led to a large scale collaboration aimed at developing a new understanding of the fundamental processes involved.

We are seeking a Research Associate for a project aimed at the development of a predictive model to describe the nucleation and growth of corrosion scales. The successful candidate will join a large inter-disciplinary team working on the first principles and classical modelling of material properties. The work will be performed within the Thomas Young Centre at Imperial College in close collaboration with experimental research groups at Imperial College, and the Universities of Manchester and Cambridge who will be using state of the art in situ microscopy, spectroscopy and diffraction to provide nanoscale structural and chemical characterisation of corrosion scales.

This position will involve incorporating the results of quantum mechanical calculations on the fundamental processes governing corrosion scale formation into mesoscale models that describe the phase stability, kinetics and dynamics within granular corrosion scales. There will be an opportunity to assist in the supervision of a team of PhD and Masters students working on these topics.

For additional information regarding the post please contact Professor Nicholas Harrison ([email protected]).

Group web site: http://www.imperial.ac.uk/computational-materials-science/

Further details: https://www.jobs.ac.uk/job/BKZ660/research-associate-developing-a-predictive-model-of-corrosion-scale-formation

 




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Ab initio (from electronic structure) calculation of complex processes in materials