Research Computing Platforms Engineer

The Role and Department  

The Directorate of Advanced Research Computing (ARC) provides a broad computational capability to underpin and help define the nature of research and innovation that can be undertaken with the institution.

ARC’s mission is to deliver a coherent strategy for the computational support of research: enabling research and innovation to be at the forefront of computational practice; enabling academic leadership through the adoption and evolution of leading technology; fostering associated expertise; and enhancing interdisciplinary collaborations. Leading-edge platforms including High Performance Computing, computational and cutting-edge data analytics methods, and growth and retention of vital capacity in research software engineering and technical R&D are at the core of this endeavour.

We organise our activity under three main pillars:

• Research Computing Platforms
• Research Software Engineering
• Developing researcher computational skills

Which is delivered by the Administration, Research Computing Platforms (RCP) and Research Software Engineering (RSE) teams.

The Research Computing Platforms (RCP) team provides facilities, training and support for people, across the University, engaged in computationally demanding research. Join us and:

Provide HPC & Cloud facilities and support the people who use them to:

• Run large- or small-scale simulations, data analyses and machine learning workloads
• Have the capability to tackle problems difficult or impossible to achieve on most desktops or laptops
• Exploit the capacity to run many tasks at the same time

Create strong collegiate relationships with academics and combine technical knowledge with the needs of different research domains to develop, improve and maintain services designed to optimise researcher time to solution by making services that:

• Are stable and secure
• Are easy to use, featureful and flexible in response to changing needs
• Deliver fast and predictable performance

Share specialist knowledge to colleagues within the research community, consultation and ensure effective knowledge transfer both across the institution and represent the University externally on matters of expertise.

Contribute to both local and regional/national services, such as the Hamilton HPC system, our experimental Mosaic research cloud, the EPSRC tier-2 HPC system “Bede” and research computing infrastructure in academic departments. Work with teams in Computing and Information Services (CIS), Estates and/or external providers as appropriate.

We are a support unit that spans all Faculties across the University and encourage applications from experienced individuals from a diverse range of domains.

Further information about the role and the responsibilities is at the bottom of this job description.    

Interviews are expected to be held in mid July.

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