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The University of Southampton

SeIUCCR Summer School 2012 - Using e-infrastructure for research  Event

12:00 - 14:00
13 - 16 August 2012
Coseners House Abbey Close Abingdon Oxfordshire OX14 3JD

For more information regarding this event, please email .

Event details

Event from the Computational Modelling Group

NGS Summer School

Do you already have a little experience working with e-Infrastructure? Perhaps you are undertaking, or have completed, doctoral studies, and find yourself engaging with clouds or grids for the first time?

Ask yourself this: wouldn't it be good to take some time this summer to get practical advice and hands-on support for deploying e-infrastructure in your work?

e-Infrastructure can be complex and challenging and many researchers often lack the time to learn to utilise the technology properly, technology that ultimately may save them time and increase their output. This Summer School provides researchers with the tools and expertise needed to fully exploit a vast range of resources.

The residential Summer School is a unique four day event aimed at UK doctoral and postdoctoral researchers primarily in the Engineering and Physical Sciences. It is hands on with many practical sessions to show you how you can use national e-resources and manage your software and data. Experts will be on hand to work through your individual problems in our "Ask the experts" sessions and leading researchers will explain their usage and benefits of technology.

Places are strictly limited and demand last year was exceptionally high with over 130 applications for 30 places so apply for your place now . All applicants are required to submit a problem or issue they are experiencing in their research that they hope can be tackled through the use of e-infrastructure. This statement will be used in the selection of attendees for the summer school.

The Summer School is fully funded including accommodation and travel. Applications close 9am on Monday 11th June.

Previous attendees have this to say:

"The summer school was a relaxed and friendly environment. The staff were very approachable and keen to show an interest in the attendees work. Overall it was a great experience I would recommend to anyone who has an interest in grid/cloud/HPC or who's work may benefit from such technologies. Thanks for a great course!"

"Thanks for providing such a wonderful opportunity to attend the summer school, which really proved to be a knowledgeable experience"

"The SeIUCCR summer school provided a great opportunity for learning, communicating and networking. I would like to thank all the people who made this summer school possible."

"As a newcomer to grid research I found the summer school extremely useful....The presenters were very knowledgeable and helpful and were eager to inform on all aspects of grid computing. Some sessions involved the speakers talking individually with attendees and I found the staff gave useful advice and were very supportive of my project."

"It was useful to know how grid, cloud and high performance computing relate to one another and over the four days I feel I became much more aware, in a less naive way, of how my research would benefit from the resources the NGS has to offer."

Important information if you are allocated a place at the summer school:

  • if you subsequently have to withdraw your application, you must inform us at least 14 days before the event or you will be charged for the cost of attending (£500).
  • if you notify us less that 14 days before the start of the event and do not supply us with a medical certificate, you will be charged for the cost of attending the summer school (£500).
  • if you start the course but do not complete it, and do not supply us with a medical certificate covering any absence, we withhold the right to charge you the full cost of the course (£500) and to not reimburse you any personal costs associated with your travel to the summer school. Attendance for the full course is compulsory.

An event from our Computational Modelling Group

Bringing together Southampton university researchers using applied Computational Modelling to support the understanding and advancement of physical and natural sciences, engineering, medicine, economy, society, psychology.

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