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Position: Research Associate in Computational Chemistry/Biophysics
Institution: University of Manchester
Location: Manchester, Greater Manchester, United Kingdom
Duties: A postdoctoral position for 2 years, with possible extension of another 2 years, is available through UKRI funding underwriting a European Research Council (ERC) Advanced Grant. This position is open to an outstanding and ambitious computational/theoretical physicist or chemist to undertake research in the field of force field design
Requirements: You should have a PhD or equivalent in computational/theoretical physics or chemistry, with at least 2 out the following 3 areas of expertise: electronic structure theory, molecular simulation or machine learning. Expertise in programming is essential including Python. You should be capable of working by your own initiative while interacting effectively in a research team. Therefore, excellent communication and organisational skills are also required
   
Text: Javascript must be enabled for the correct page display Accessibility Tools Jobs at The University of Manchester University home Jobs Current jobs University home Jobs Current jobs Register for job alerts Returning candidates Job details Research Associate in Computational Chemistry/Biophysics Oxford Road, Manchester Job reference: SAE-019800 Location: Oxford Road, Manchester Closing date (DD/MM/YYYY): 05/10/2022 Salary: £34,308 to £42,155 per annum depending on relevant experience Employment type: Fixed Term Faculty/Organisation: Science and Engineering Division: Computational and Theoretical Chemistry Hours per week: Full Time Contract Duration: From 1 December 2022 until 30 November 2024 School / Directorate: School of Natural Sciences Get directions A postdoctoral position for 2 years, with possible extension of another 2 years, is available through UKRI funding underwriting a European Research Council (ERC) Advanced Grant. This position is open to an outstanding and ambitious computational/theoretical physicist or chemist to undertake research in the field of force field design. By its novel architecture the in-house force field FFLUX aims to make a step change in the reliability of modelling of peptides/proteins in aqueous solution. The machine learning method Gaussian Process Regression is used to create knowledgeable quantum atoms that accurately predict energies and multipole moments. FFLUX, which is implemented in in-house software, combines accurate electrostatics and polarisation with an original treatment of short-range interaction and dispersion. The molecular dynamics program DL_FFLUX (derived from DL_POLY) enables geometry optimisation and simulation. The post is tenable from 1st December 2022. Based within the Department of Chemistry at the University of Manchester, you will work with Prof Popelier and his team. The Department is ranked 3rd in Great Britain and 5th in Europe by the 2021 Nature Index.​​​​​​​ You should have a PhD or equivalent in computational/theoretical physics or chemistry, with at least 2 out the following 3 areas of expertise: electronic structure theory, molecular simulation or machine learning. Expertise in programming is essential including Python. You should be capable of working by your own initiative while interacting effectively in a research team. Therefore, excellent communication and organisational skills are also required. As this role involves research at a postgraduate level, applicants who are not an EEA national or a national of an exempt country and who will require sponsorship under the Skilled Worker route of the UK Visas and Immigration’s (UKVI) Points Based System in order to take up the role, will be required to apply for an Academic Technology Approval Scheme (ATAS) Certificate and will need to obtain this prior to making any official visa application UKVI) 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: http://www.chemistry.manchester.ac.uk/about-us/athena-swan/ 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: Prof. Paul Popelier Email: pla@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. Please see the link below for the Further Particulars document which contains the person specification criteria. SAE-019800 Research Associate Computational ChemistryBiophysics FPs Back Apply for job Contact us 44 (0) 161 306 6000 Find us The University of Manchester Oxford Rd Manchester M13 9PL UK Connect with us Social media directory Disclaimer / Privacy / Copyright notice / Accessibility / Freedom of information / Charitable status / Royal Charter Number: RC000797 Close menu University home Jobs Current jobs Register for job alerts Returning candidates The University of Manchester applicant tracking system delivered and supported by Jobtrain .
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