£33,734 - £44,016
Bristol, UK
The School of Mathematics invites applications for a Research Fellowship in association with the Heilbronn Institute for Mathematical Research.
You will divide your time equally between your own research and the research programme of the Heilbronn Institute. We seek candidates with skills in areas of statistical data mining such as semi-supervised learning, recommender systems and information flow in graphs: however, your own data mining or statistical research need not be directly in such areas.
The Fellowship will be for three years, with a preferred start date of January 2012. Due to the nature of the Heilbronn Institute's work, you must satisfy vetting before appointment. UK Nationals will normally be able to meet this condition: other potential candidates should consult the Director about their eligibility before applying. Research expenses of at least £2,000 will also be available.
Enquiries about the fellowship may be addressed to Dr Oliver Johnson, School of Mathematics, telephone +44(0)117 928 8632, e-mail: assoc-director-himr@bristol.ac.uk and enquiries about the work of the Heilbronn Institute may also be addressed to the Director of the Institute, Professor Malcolm MacCallum, telephone +44(0)117 980 6303, e-mail: m.a.h.maccallum@bristol.ac.uk
Applications should include a statement of proposed research (not more than one side of A4). You should ask three referees to send references by the closing date to: Ms Chrystal Cherniwchan, School of Mathematics, University of Bristol, BS8 1TW or email: Chrystal.Cherniwchan@bristol.ac.uk. It is your own responsibility to ensure that the reference letters are received by the closing date (these may be sent by email also).
For further details and an application form please visit www.bristol.ac.uk/jobs Alternatively you can e-mail recruitment@bristol.ac.uk or telephone +44 (0) 117 954 6947, quoting the reference number 16520.
The closing date for applications is 9.00am, Thursday 1 September 2011.
Interview date: Friday 23 September 2011.
EXCELLENCE THROUGH DIVERSITY
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