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High Performance Computing Systems Administrator

University of Oxford, NDORMS, Kennedy Institute of Rheumatology Published: March 9, 2017
Job Type


Kennedy Institute of Rheumatology, Old Road Campus, University of Oxford, OX3 7FY

Grade 7: £31,076 – £38,183 per annum

Would you like to help manage and develop a state-of-the-art High Performance Compute (HPC) facility to enable cutting-edge biomedical research? This is an exciting opportunity to gain skills and experience as part of a friendly team supporting research staff and students at the Kennedy Institute of Rheumatology (KIR).

The KIR is a world-class research centre located in new premises next to the Wellcome Trust Centre for Human Genetics at the University of Oxford. It houses an advanced HPC facility (>20 TFLOPs and around 0.5PB of fast storage) to support research increasingly reliant on computational genomics and big-data analysis.

As the KIR HPC Systems Administrator you will be responsible for the HPC facility and other local IT infrastructure.  You will be expected to support users of the HPC and to provide occasional general front-line IT support.

You should be able to demonstrate an excellent understanding of Linux systems administration and real-world experience along with a keen interest in learning about new technologies and platforms. Candidates with less experience are also encouraged to apply for this post. Full training in the administration of the HPC platform will be provided locally and by the University’s Advanced Research Computing Team as required. An enthusiastic team player, you value quality of service, have an eye for detail and respond positively to new challenges.

This role is initially funded for 3 years. The University is committed to supporting and developing its staff - our department is a recipient of the Athena Swan Silver Award.

Please read the accompanying job description carefully and we ask that you ensure that you address each of the selection criteria in your supporting statement.

The closing date for applications is 12 noon on Monday 3 April 2017.

To apply for this role and for further details, including the job description and selection criteria, please click on the link below:

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