Research Fellow in molecular modelling of crystal growth and nucleation

University College London

£35,328 to £42,701 Per annum, inclusive of London Allowance

Job Ref: 1767345

Closes 30th January 2019

The appointment will be on UCL Grade 7.

Applications are invited for a postdoctoral position based in the Chemical Engineering Department at University College London. The project is part of a new EPSRC funded grant for a highly integrated programme of cutting edge experiments, characterisation and simulations that will deliver a new understanding of crystallisation processes. This large collaborative research programme includes three experimental groups and five modelling groups from UCL, Leeds, Sheffield and Warwick Universities ( ).

The PDRA at UCL will develop and apply methods for modelling crystal growth and nucleation from solution and compare the predictions with the high resolution images from the experimental groups.

Crystal growth from solution is a dynamic process where ions, clusters and additives continuously attach and detach from terraces, steps and kinks on the growing crystal surface. The relative attachment and detachment rates influence crystal size, shape and morphology. In this project the PDRA will apply and develop molecular simulation methods to compute growth and nucleation kinetics under realistic conditions. Particular attention will be devoted to simulating systems at constant chemical potential using state-of-the-art methods.

The ideal candidate for this post has a strong background in molecular simulation methods application and development, with a keen interest in long timescale simulations and rare events methods.

The position is funded for 1 year in the first instance.

The closing date for application is 30th January 2019.

The successful candidate must have (or be in the process of submitting) a PhD in Chemical Engineering, Condensed Matter Physics, Chemistry, Material Science or a closely related discipline. Candidates must have experience in molecular dynamics, and enhanced sampling/rare events methods. The abilities to communicate clearly, work collaboratively and coordinate with PhD students and other PDRAs both within the group and in the context of the wider collaboration are essential.

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.

If you have any queries regarding the vacancy or the application process, please contact Dr Matteo Salvalaglio at 

Latest time for the submission of applications: 23:59.

Apply here.


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