Tag Archives: EPSRC

EPSRC Balancing Capability: Call for Evidence Closes Soon

Posted on by

EPSRC has asked institutions for evidence to help in its review of its “Balancing Capability” framework. The call closes on 3rd June.

Colleagues will be aware that EPSRC is currently updating its Balancing Capabilities framework. This involves a relatively small amount of structural change (introducing or merging areas and changing definitions). It is also re-examining the classifications into grow, maintain and shrink.

As part of this, institutions have been asked to supply evidence. Please note, the call is to institutions, and the request is for a fairly tightly defined form of evidence. Put simply, evidence is a report (preferably published) written by somebody else. It is not a statement from an individual, no matter how knowledgeable or persuasive.

If you have knowledge of such a report, and would like it to be considered in the process, then:

CPHC is planning to make a small submission, and in the event that you can’t submit evidence through your own institution, then you are welcome to request that we forward it on your behalf. The phrasing is intended to discourage you from taking this route as easier than communicating with individuals at your own institution. And note that we are not guaranteeing to submit everything passed on to us.

Continue reading →

Alan Turing Fellowships

Posted on by

This is a unique opportunity for early career researchers to join The Alan Turing Institute. The Alan Turing Institute is the UK’s new national data science institute, established to bring together world-leading expertise to provide leadership in the emerging field of data science. The Institute has been founded by the universities of Cambridge, Edinburgh, Oxford, UCL and Warwick and EPSRC.

Fellowships are available for 3 years with the potential for an additional 2 years of support following interim review. Fellows will pursue research based at the Institute hub in the British Library, London. Fellowships will be awarded to individual candidates and fellows will be employed by a joint venture partner university (Cambridge, Edinburgh, Oxford, UCL or Warwick).

Key requirements: Successful candidates are expected to have i) a PhD in a data science (or adjacent) subject (or to have submitted their doctorate before taking up the post), ii) an excellent publication record and/or demonstrated excellent research potential such as via preprints, iii) a novel and challenging research agenda that will advance the strategic objectives of the Institute, and iv) leadership potential. Fellowships are open to all qualified applicants regardless of background.

Continue reading →