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Research Computing Platforms Engineer

Durham University - IT

Location: Durham
Salary: £37,999 to £45,163
Hours: Full Time
Contract Type: Permanent
Placed On: 10th October 2024
Closes: 6th November 2024
Job Ref: 24001769

The Role and Department  

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:

  1. Research Computing Platforms
  2. Research Software Engineering
  3. 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 and the EPSRC tier-2 HPC system “Bede”, working 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.

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