Posted: 31 Jan 2018 | 11:17
At EPCC we are currently looking to hire both Application Developers and Application Consultants in data science (closing date 22nd of February.) I think this is a really great opportunity for people to become involved in an exciting, fast moving field with great potential and EPCC is a major player in this area.
Our situation in the University makes us fairly unique. We have a diverse mix of both research and commercial projects so it is possible to work on developing the state of the art and also with some big names on work that has a real-world impact. Unlike many technical/research positions at the University, which are short-term Post-Docs, at EPCC our positions are longer term (initially a 2-year fixed-term contract) and many staff have been working at EPCC for several years.
Posted: 8 Jan 2018 | 16:03
Big data has always been a part of high-performance computing and the science it supports, but new open-source technologies are now being applied to a wider range of scientific and business problems. We’ve spent time recently testing some of the big data toolkits.
Posted: 20 Dec 2017 | 13:37
I've worked on many data analysis projects in my career and two common themes are that obtaining the data can be a significant challenge and that once you obtain it you’ll notice it is very messy.
Posted: 15 Jun 2017 | 13:33
Earthquakes have caused over three-quarters of a million deaths already in this century, and economic losses of over a quarter of a trillion US dollars since 1980, make them by far the most destructive of the natural hazards. EPCC has been involved in developing a new app that will lessen the danger of aftershocks.
Posted: 8 Jul 2016 | 14:48
Modern genome-sequencing technologies are easily capable of producing data volumes that can swamp a genetic researcher’s existing computing infrastructure. EPCC is working with the breeding company Aviagen to build a system that allows such researchers to scale up their data infrastructures to handle these increases in volume without compromising their analytical pipelines.
Posted: 6 Jul 2016 | 14:36
Safe havens allow data from electronic records to be used to support research when it is not practicable to obtain individual patient consent while protecting patient identity and privacy. EPCC is now the operator of the new NHS National Services Scotland (NSS) national safe haven in collaboration with the Farr Institute of Health Informatics Research which provides the infrastructure.
Posted: 24 May 2016 | 09:49
This is an exciting time for astronomy in the UK, a fact that is reflected by our involvement and leadership of some amazingly ambitious new telescopes.
A number of recent, significant discoveries have propelled astronomy research into the spotlight. The discovery of dark matter and dark energy at the beginning of the 21st century over-turned our understanding of how the Universe works. And the first observation of a gravitational wave earlier this year confirmed Albert Einstein’s long-standing hypothesis precisely 100 years after it was first published in his general theory of relativity.
Posted: 13 Apr 2016 | 14:47
SHAPE (SME HPC Adoption Programme in Europe) is a pan-European initiative supported by PRACE (Partnership for Advanced Computing in Europe). The Programme aims to raise awareness and provide European SMEs with the expertise necessary to take advantage of the innovation possibilities created by high-performance computing (HPC), thus increasing their competitiveness. SHAPE allows SMEs to benefit from the expertise and knowledge developed within the top-class PRACE Research Infrastructure.
Posted: 13 Nov 2013 | 14:27
EUDAT - the European Data Infrastructure project - has reached the end of its second year and has, with some success, distilled the first version of a common, collaborative, horizontal data infrastructure from among the vertical stacks of its various partners.
Posted: 9 Sep 2013 | 09:58
The research data tsunami is firmly upon us. Open access to data is very much on the agenda. One of the hopes for capturing and preserving all these data is that reuse and recombination may yield new science. Improving the interoperability of data from different domains is key to making this a reality.
Now, data interoperability is not technically hard, so why are we not further on?