Postdoctoral Associate in Computational Microbiology, Oxford University, UK

Postdoctoral Research Assistant Position in University of Oxford, UK

Postdoctoral Associate in Computational Microbiology: Join our team at the Department of Biochemistry, Oxford University as a Postdoctoral Research Associate. This position is part of a collaborative, multidisciplinary project funded by the Wellcome Trust, focusing on computational microbiology.

Postdoctoral Research Associate in Computational Microbiology

Designation: Postdoctoral Research Associate

Research Area: Computational Microbiology

Location: Department of Biochemistry, South Parks Road, Oxford, OX1 3QU

Eligibility/Qualification: You will hold, or be close to completion of, a relevant PhD/DPhil, with demonstrated experience in writing analysis code and conducting MD simulations at an expert level. Excellent communication skills and the ability to manage academic research independently are essential.

Job Description: Reporting to Professor Syma Khalid, the Postdoctoral Research Associate will conduct research as part of a Wellcome Trust-funded project. Responsibilities include leading aspects of the research, collaborating on research articles, and providing guidance to junior members of the group.

How to Apply: To apply, please submit a supporting statement addressing the selection criteria, along with your curriculum vitae and contact details for two referees via our online application system.

Last Date for Apply: Wednesday 31st July, noon BST. Applications received after this time cannot be considered.

This role offers a competitive salary on Standard Grade 7 (£36,024 – £44,263 per annum), with potential flexibility for exceptional candidates starting at Grade 6. Benefits include a contributory pension scheme, generous annual leave, childcare services, family leave schemes, and access to various social and sports clubs.

The University of Oxford is committed to diversity and equality. Shortlisted candidates will be invited for interviews shortly after the application deadline.

For further information, please contact the HR Officer at, quoting Vacancy ID: 173932. Join us in advancing computational microbiology research at one of the world’s leading academic institutions.



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