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Research Computing Solutions Specialist (Fixed Term)


Research and Institutional Services (RIS), a division of University Information Services in the University of Cambridge, is seeking to appoint a Research Computing Specialist who will support development and service operations of the new Research Data Storage and Cloud Computing services. Role holders will be also involved in a range of other high profile, research computing-oriented, internally and externally facing projects run by the division.

Essential skills include: practical and proven knowledge of Linux system administration, shell scripting and practical knowledge of high level programming languages such as Perl or Python, configuration management and automation methods using technologies such as Puppet or Ansible. Experience with storage platforms, parallel file systems and cloud computing platforms will be advantageous. The role holders will need to be proactive, creative and comfortable resolving complex problems.

RIS provides services, including HPC, data storage and analytics and virtual machines, to the entire University and its affiliated institutions. It also supports research computing on a larger UK scale through DiRAC, and a new, peta-scale Tier 2 national HPC facility. RIS continues to enjoy rapid growth in demand for its services across all academic disciplines and already supports several large scientific projects in astrophysics and particle physics, e.g. the Square Kilometre Array, and in the life sciences e.g. the 10,000 genome project. The closing date for applications is Monday 6th August 2018. Interviews are expected to be held on Tuesday 14th August 2018.

Fixed-term: The funds for this post are available for 3 years in the first instance.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

For more information please contact adminoffice@uis.cam.ac.uk.

Please quote reference VC12156 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

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Further information

Apply online