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Tuesday, January 24, 2017

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Partnerships with China and India
The deadline for submission is Tuesday, 24 January 2017

 

As a delivery partner for the UK government's Newton Fund, the Royal Academy of Engineering runs the Industry Academia Partnership Programme (IAPP) which gives grant funding to support Newton Fund Partner Country universities in improving their engineering education, research and innovation output through strengthening linkages with industry and UK counterparts.

The programme is based upon the premise that increased linkages between industry and higher education can improve quality and foster innovation within pedagogy and practice of engineering, in turn enhancing employability of graduates and encouraging technology transfer into industry.

(awards of £100k GBP)

(awards of £50k GBP)

Grant awards may be used to fund salary, travel and subsistence costs toward proposed collaborative activities. The deadline for submission is 09:00 Tuesday, 24th January, 2017. Please contact the Programme manager Shaarad.Sharma@raeng.org.uk if you have any queries.
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Increasing areas of technology and society are becoming ever more data rich. This is creating a growing need to be able to manage, process and interpret multiple sources of increasingly complex and/or large-scale data in order to enable people to extract value, make decisions and take appropriate action.

This call aims to support new approaches to data science driven by real world challenges, with projects undertaken in close collaboration by teams of researchers from the Mathematical Sciences and/or ICT, together with researchers in other disciplines and end-users.

We are seeking to build a culture of co-creation with commitment from all partners to engage with each other throughout the research programme. In addition we expect host institutions to support the development of lasting communities in this area by catalysing long term culture change and building skills capacity. Applicants should demonstrate how their approach is new in the data science landscape, complements existing investments in data science (e.g. relevant current EPSRC grants, Alan Turing Institute, Farr Institute, etc.) and cannot be supported through them.

As the UK's national centre for Data Science, the Alan Turing Institute is enthusiastic about working with successful projects resulting from this call. More details on this can be found in the 'Aim and Scope of the call' section of the full call document below.

There is up to £10 million available for this call and we expect to fund three to four programmes of research.

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Physics Days

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Condensed Matter Physics

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