Assistant Professor in Statistics (Permanent)
School of Mathematical Sciences, The University of Nottingham
Closing Date: Friday 29 January 2016
Job Type: Research & Teaching
Salary £34233 to £45954 per annum, depending on skills and experience.
Salary progression beyond this scale is subject to performance.
Applications are invited from outstanding candidates for the above post.
The successful candidate will be expected to contribute substantially to
maintaining and enhancing the School’s high standards in research and teaching.
Candidates should hold a PhD (or equivalent) in Statistics or a related subject
and have a commitment to high-quality teaching in honours and service mathematics
to a broad range of students. The post-holder will undertake original research of
international excellence in Statistics, complementing existing activity within the School.
Particular areas of interest include, but are not limited to, Data Science, Machine Learning
and Uncertainty Quantification.
The REF 2014 results place the School in the top 10 nationally within Mathematical Sciences
for 'research power' and 'research quality'; with 32% of its research recognised as world-leading
and a further 56% as internationally excellent. Its research environment was classified as 75%
world-leading in vitality and sustainability, with the remaining 25% internationally excellent,
reflecting the outstanding setting the School provides for its academic staff as well as its
postdoctoral and postgraduate researchers. Overall the University of Nottingham
is ranked 8th in the UK in terms of Research Power. In recognition of its commitment to
promoting women in science, the University of Nottingham is one of a small number of
universities to hold a Silver Athena SWAN Award.
This post is available from 1 September 2016 or as soon as possible thereafter.
Informal enquiries may be addressed to Professor Andrew Wood, tel: +44 (0) 115 9514983 or
email: [log in to unmask]
To apply and for further details see http://www.nottingham.ac.uk/Jobs/CurrentVacancies/ref/SCI129515X1
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