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Research Assistant in Computational Materials Science
£26,737 – £32,848 p.a.
Fixed term appointment for 15 months, Full Time
An EPSRC-funded research position is available to carry out computational studies of metal oxide nanoparticles for biomedical applications within the materials modelling group of Dr Marco Molinari in the Department of Chemistry at the University of Huddersfield.
The research project will apply advanced computational techniques based on Density Functional Theory (DFT) to study surface properties and catalytic activities of metal oxide materials for biomedical applications. This work will link up with collaborative studies of Dr Dean Sayle (University of Kent) and Prof. Sudipta Seal (University of Central Florida, US), and is part of the EPSRC Grant on Computational Design and Engineering of Metal Oxide Nanozymes.
You should have, or be about to obtain, a PhD in computational chemistry, physics, materials science or a related discipline. Experience in computational materials science (or other relevant disciplines), and DFT are essential requirements for this role.
This post is available from 01 March 2018 for 15 months.
For informal enquiries about the position please contact: Dr Marco Molinari, phone: (0044) 01484-472973, email: email@example.com, ORCID: orcid.org/0000-0001-7144-6075.
The School is committed to Athena SWAN principles and the promotion of equality and diversity and is proud to hold a Bronze Athena SWAN Award.
For further details about this post and to make an application please visit http://hud.ac/dyq
Closing Date: 4 December 2017
Interview Date: 15 January 2018
Working for Equal Opportunities.
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