School of Mathematics, University of Leeds, UK

Closing Date:  	Friday 03 April 2015

  The School of Mathematics is seeking to appoint a Chair of Data 
Analytics to capitalise on the current burst of activity world-wide in 
the area of Data Analytics, and to build on the recent major grants 
awarded to Leeds by the Economic and Social Research Council and the 
Medical Research Council. We are particularly seeking applicants with 
excellent track records in the areas of Applied and/or Computational 
Statistics, statistical analysis of large data sets, Bayesian machine 
learning, modelling of complex real-world systems, or algorithms for 
large data sets.

The School of Mathematics at the University of Leeds is noted for the 
depth and breadth of its research across Statistics and Pure and Applied 
Mathematics, and for the impact of its research: it was ranked in the 
top 10 out of 53 departments of mathematics in the UK in the 2014 
Research Excellence Framework (REF). The School has a strong Department 
of Statistics, with a large group that focuses on applied and 
computational statistics, both generally and in bioinformatics, and a 
growing group in Applied Mathematics that uses Complexity Science ideas 
to understand how influence is propagated in social networks.

In early 2014, the School became a founding member of the Leeds 
Institute for Data Analytics (LIDA, see www.lida.leeds.ac.uk), which is 
the home of two major centres for data intensive research: the MRC 
Centre for Medical Bioinformatics and the ESRC Consumer Data Research 
Centre. The University of Leeds is investing in a purpose-built and 
fully-equipped facility with space for more than 250 academic staff, 
research personnel and external partners, to maximise benefits for 
collaborative research and engagement within and outside the University. 
LIDA will also provide a safe data room, advanced computational 
infrastructure, and a fully-equipped training suite. It is scheduled to 
open in the summer of 2015.

This new position is expressly intended to forge links between the 
School and LIDA, and to contribute to the research strengths and grant 
success, and to lead the development of innovative undergraduate and 
postgraduate teaching in this area. LIDA is supported by several 
recently appointed University Academic Fellows bridging across the 
disciplines, including one appointed in the School of Mathematics.

The School is undergoing a major £5m refurbishment and will, in August 
2015, be transformed into a state-of-the-art research and learning 
facility providing a variety of new study environments, a Research 
Visitor Centre, modern offices and infrastructure, with a Grade II 
listed exterior. Staff have ready access to High Performance Computing, 
both through the University's ARC2 machine (3000 cores) and through the 
N8 Polaris facility (over 5000 cores).

The School of Mathematics supports the LMS Good Practice Scheme, and the 
University of Leeds's commitment to women in science has been recognised 
with a national accolade. The University has received the Athena SWAN 
Bronze Award and the Faculty of Mathematics and Physical Sciences holds 
the Athena SWAN Silver Award in recognition of our success in 
recruiting, retaining and developing/promoting women in Science, 
Engineering and Technology (SET). We are proud of our commitment to 
equality, flexible working and inclusiveness.

The University offers generous terms and conditions of employment, a 
wide range of benefits, services, facilities and family friendly 
policies. Full details are available on the Human Resources web pages 
accessible at www.leeds.ac.uk/hr/index.htm Applications from women, who 
are currently under-represented in this area, will be particularly 
welcome. The final recruitment decision will be based solely on merit.

Full-time (part-time hours will be considered).

Informal enquiries may be made to Professor Charles Taylor, Head of 
Statistics: telephone +44 (0)113 343 5168, e-mail [log in to unmask] 
or Professor Alastair Rucklidge, Head of School: telephone +44 (0)113 
343 5161, e-mail [log in to unmask]

Full job description is available at:

https://jobs.leeds.ac.uk/Upload/vacancies/files/1605/MAPMA1012%20Chair%20in%20Data%20Analytics.pdf

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