Alan Turing Fellowships
https://turing.ac.uk/jobs/alan-turing-fellowships/
<https://turing.ac.uk/jobs/alan-turing-fellowships/>
CLOSING DATE FOR APPLICATIONS IS 20 DECEMBER 2015
The Alan Turing Institute, the UK’s newly founded national institute for Data
Science, is looking for top international research fellows in computer science,
mathematics, statistics, and machine learning. This is a unique opportunity for
early career researchers. The Alan Turing Institute is 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 independent 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 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.
Alan Turing Fellowship applications can be made in all data science research
areas. The Institute’s research roadmap is available at
https://turing.ac.uk/the-alan-turing-institute-our-roadmap-for-science-and-innovation/
<https://turing.ac.uk/the-alan-turing-institute-our-roadmap-for-science-and-innovation/>.
In addition to this open call, there are two specific fellowship programmes:
Fellowships addressing data-centric engineering
The Lloyd’s Register Foundation (LRF) / Alan Turing Institute programme to
support data-centric engineering is a 5-year, £10M global programme, delivered
through a partnership between LRF and the Alan Turing Institute. This programme
will secure high technical standards (for example the next-generation
algorithms and analytics) to enhance the safety of life and property around the
major infrastructure upon which modern society relies. For further information
on data-centric engineering, see LRF’s Foresight Review of Big Data.
Applications for Fellowships under this call, which address the aims of the
LRF/Turing programme, may also be considered for funding under the data-centric
engineering programme. Fellowships awarded under this programme may vary from
the conditions given above; for more details contact fellows...@turing.ac.uk
<mailto:fellows...@turing.ac.uk>
Fellowships addressing data analytics and high-performance computing
Intel and the Alan Turing Institute will be supporting additional Fellowships
in data analytics and high-performance computing. Applications for Fellowships
under this call may also be considered for funding under the joint Intel-Alan
Turing Institute programme. Fellowships awarded under this joint programme may
vary from the conditions given above; for more details contact
fellows...@turing.ac.uk <mailto:fellows...@turing.ac.uk>
Download full information here:
https://turing.ac.uk/content/uploads/2015/06/ATI_fellows_advertfinal131115-NTv02.docx
<https://turing.ac.uk/content/uploads/2015/06/ATI_fellows_advertfinal131115-NTv02.docx>
Diversity and equality are promoted in all aspects of the recruitment and
career management of our researchers. In keeping with the principles of the
Institute, we especially encourage applications from female researchers.
—---------------------------------------------
Zoubin Ghahramani FRS
Professor of Information Engineering
University of Cambridge, UK
mlg.eng.cam.ac.uk <http://mlg.eng.cam.ac.uk/>
University Liaison Director
Alan Turing Institute, London, UK
www.turing.ac.uk <http://www.turing.ac.uk/>
—---------------------------------------------
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