About Us
28 Feb 2017
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STFC Scientific Computing is one of the UK’s leading centres of expertise in data-intensive science, and home to sophisticated high-performance hardware.

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​​​​​​​​​​​​​​​​​Compute and visualisation​ in SCD​

 

​It is one of the largest departments of its kind with over 240 computational scientists, software engineers and project support staff – and it's rapidly growing to meet the ever-increasing demand for innovative software solutions, digital research infrastructure and computational expertise in a variety of disciplines.​

Our staff are located at two UK campuses – the Rutherford Appleton Laboratory in Oxfordshire, and the Daresbury Laboratory in Cheshire. They have cutting-edge skills and expertise in scientific software research and development, and world-leading capabilities in 'big data' storage and analysis, visualisation and simulation, and scientific information management. 

Scientific computing is fundamental to modern research. This broad and rapidly-advancing field involves exploiting advanced computing capabilities to understand and solve complex problems in science. The huge amounts of data generated by scientific research require advanced computing infrastructure, products and services. Scientists need these resources to ​interpret and manage the information they obtain during their research, and it's these resources that we provide. 

STFC Scientific Computing supports some of the UK's most advanced scientific facilities and provides the tools that enable the scientific community to discover and deliver vital research. We are advocates of Open Science, making research outputs available to encourage a swifter route from research to innovation, and new products and services that benefit people. 


Find out more:

Check out our news items and case studiesour Annual Review, leaflets and other publications.  Explore the services we provide to the UK and international research communities through our digital research infrastructure; and the research we undertake to drive improvements across the research landscape.




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