Research Associate in Computational Chemistry

You will contribute to a Leverhulme Trust funded project focusing on developing a new computational approach to predicting molecular conformation, combining machine learning and molecular dynamics simulation. The method will be applied to pharmaceutically relevant problems.

You should hold a PhD or equivalent in computational chemistry. Experience in the development and implementation of new computational approaches is essential and use of machine learning methods is highly desirable. Experience in molecular simulation methods as well as a developing track record of publications, is also highly desirable.

The School/Department is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School/Department holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. All appointment will be made on merit. For further information, please visit: https://www.bmh.manchester.ac.uk/about/equality/.

Our University is positive about flexible working – you can find out more here.

Blended working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:
Name: Dr Richard Bryce
Email: richard.bryce@manchester.ac.uk

General enquiries:
Email: People.recruitment@manchester.ac.uk

Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Further particulars including job description and person specification are available on the University of Manchester website - click on the 'Apply' button above to find out more.

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