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Postdoctoral Researchers in Atomistic and DFT Modelling of Lithium Batteries


Salary:  Starting from £32,548, rising to £38,833
Placed On:  Tuesday 09 January 2018
Closing Date:  Sunday 18 February 2018
Interview Date:  Friday 02 March 2018
Reference:  SF5514

Two Postdoctoral Researchers in Atomistic and DFT Modelling of Lithium Batteries

Two EPSRC-funded postdoctoral research positions are available in the area of advanced computer modelling of lithium battery materials within the groups of Professor Saiful Islam and Dr Ben Morgan at the University of Bath.

The research programme will apply atomistic and ab initio techniques in the study ofdefect, transport and surface/interface properties of lithium battery materials. Project areas will include ion intercalation at electrode surfaces and effects of grain boundaries using density functional theory (DFT), potentials-based molecular dynamics, and cluster-expansion based Monte Carlo techniques. 

These two projects form part of the large interdisciplinary Multi-Scale Modelling effort on lithium batteries within the new Faraday Institution with strong links to continuum modelling work, and to experimental structural and electrochemical studies. Please view the following link for further information on the projects:

Previous experience in computational materials science and a track record of peer-reviewed publications are essential. This post is available on a full time, fixed term basis from 12th March 2018 until 31st December 2020.

Group websites with research details and contact emails are as follows:

Prof Saiful Islam:


Dr Ben Morgan:


Applications are submitted through the University of Bath online application form.

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

Further details:
The University of Bath is an equal opportunities employer and has an excellent international reputation with staff from over 60 different nations. To achieve our global aspirations, we welcome applicants from all backgrounds.