Lecturer in Statistics

Applications are invited for the above post available from 1 September
2003 or as soon as possible thereafter.

Candidates should have achieved research distinction or have outstanding
research potential in a branch of statistics, and will be strongly
committed to high quality teaching.  In the 2001 Research Assessment
Exrecise, the Unit of Assessment for Statistics and Operational Research
was graded 5A, i.e. internationally leading.  The successful candidate
will be expected to contribute to maintaining and enhancing our research
record.

Salary will be within the range 22,191 - 33,679 pounds per annum, depending
on qualifications and experience.

Informal enquiries may be addressed to Professor F G Ball,
tel: 0115 951 4969 or Email: Frank.Ball@Nottingham.ac.uk.

Further information about the Division of Statistics is available on the
WWW at http://www.maths.nott.ac.uk/statsdiv

Further details and application forms are available on the WWW at:
http://www.nottingham.ac.uk/personnel/vacancies/ or from
the Personnel Office, Highfield House, The University of Nottingham,
University Park, Nottingham NG7 2RD.  Tel: 0115 951 3263.  Fax: 0115 951 5205.
Email: Personnel.Applications@Nottingham.ac.uk.

Closing date: 25 April 2003.   Please quote ref RUB/529S.
 

********************************************************************************
Lecturer in Statistics

Applications are invited for the above post, available from 1 September 2003.
Candidates should have achieved research distinction or have outstanding
research potential in a branch of statistics, and will be strongly
committed to high quality teaching.  We are particularly interested in
the new appointee adding significantly to our research profile.  Further
information is available from  Professor F G Ball, tel: 0115 951 4969
or Email: Frank.Ball@Nottingham.ac.uk.
 

School of Mathematical Sciences
-------------------------------

The School of Mathematical Sciences came into existence on 1 August 1998
through the merger of the Departments of Mathematics and Theoretical
Mechanics.  The School has subsequently undergone an exciting period
of expansion, having made appointments to two Chairs in Statistics,
two Chairs in Pure Mathematics, a Chair in Applied Mathematics and to
eleven lectureships in Applied Mathematics, Pure Mathematics and
Statistics (the three Divisions which make up the School).  Further
developments are now being made to sustain our development as an
internationally-leading centre.

The School's current staffing complement is 47 academic staff (plus 5
vacancies) and 12 support staff.  It also has 6 Research Fellows,
16 Postdoctoral Research Associates and 64 research students.

The School undertakes research and teaching in Applied Mathematics, Pure
Mathematics and Statistics.  In the 2001 Research Assessment Exercise,
all our units of assessment were graded 5 (Applied Mathematics, Pure
Mathematicsand Statistics), i.e. internationally leading.

The School teaches the full-time equivalent of about 630 undergraduates.
It offers single honours degree programmes (both BSc and MMath) in
Mathematics and in Mathematics with Engineering, together with four joint
honours degree programmes in Mathematics and Computer Science, Economics,
Management Studies and Philosophy.  The BSc and MMath degrees in
Mathematics with Statistics are accredited by the Royal Statistical
Society. It also has an accredited joint honours degree (BEng and MEng)
in Electronic Engineering and Mathematics and teaches half of the
Mathematical Physics degree (both BSc and MSci).  In addition, the
School offers a wide range of service modules to the University at large,
notably to students in Engineering and Science.  Applications for the
School's undergraduate degree programmes are buoyant and we regularly
attract one of the best-qualified undergraduate intakes in Mathematics
in the UK.  The School was graded as excellent, with 23 points out of a
possible 24, in the subject review undertaken in March 2000 by the Quality
Assurance Agency.

All staff offices are equipped with Unix or PC workstations, which are
linked to the School's file servers, its large-scale multiprocessor
computer and the University's workstations and mainframe computers.
There are also well-equipped computing laboratories in the School for
undergraduate and postgraduate use.  The School's computer officers are
responsible for both hardware and software support, and the School is
well served by an administrator and secretarial staff.

The George Green Library for Science and Engineering and the bulk of the
Engineering, Science and Medical Schools are in nearby buildings.  The
University has excellent provision for access to online journals and
databases.
 

Division of Statistics
----------------------

The Division of Statistics has recently appointed 2 Professors,
3 Lecturers and 1 Temporary Lecturer, underlining the commitment
of both the University and the School to establishing a Statistics
group of clear international standing.  In the 2001 Research Assessment
Exercise, the Division secured a grade 5A, with all staff submitted.
Both the School and the University are strongly supportive of the
Division's plans to build on this success.  The present position is
the second new lectureship to have been established following the
outcome of RAE 2001. The successful candidate will be expected to
contribute strongly to maintaining and enhancing our research record.
Applications are encouraged from candidates with research interests
in any branch of Statistics compatible with existing activity within the
Division.  The Division currently comprises 3 Professors, 1 Reader,
2 Senior Lecturers, 2 Lecturers and 1 Temporary Lecturer, with research
strengths across a wide spectrum of Statistics and Probability, as
indicated by their research interests listed below.

Professor F G Ball:
Applied probability, epidemic models, aggregated Markov processes,
ion channel models, stochastic compartmental models, semi-Markov
processes, Laplace transform based inference, MCMC for hidden
continuous time Markov chains.

Dr W J Browne:
MCMC methods, statistical computing, multilevel models, Bayesian
statistics.

Professor I L Dryden:
Statistical shape analysis, spatial statistics, Bayesian image
analysis, medical image analysis, computational statistics, multivariate
analysis, medical and biological applications of statistics.

Dr H Le:
Stochastic differential geometry, stochastic geometry with
particular reference to shape analysis.

Dr C D Litton:
Bayesian methods, statistical archaeology, change-point problems.

Dr O D Lyne:
Stochastic epidemic models, applied probability, simulation,
statistical inference, branching processes, martingales.

Dr P D O'Neill:
Stochastic epidemic models, applied probability,
statistical inference, Markov Chain Monte Carlo methods.

Dr S Utev:
Probability inequalities, stochastic orderings, limit theorems
for dependent variables, probabilistic epidemic modelling.

Professor A T A Wood:
Bootstrap methods, simulation, asymptotic approximations, likelihood
theory, statistical aspects of fractals,
wavelets.

The Division of Statistics enjoys a number of collaborative links in the
University and beyond, notably with the Faculty of Medicine and
Health Sciences and with IACR-Rothamsted, with whom the University
has a formal link.  Senior members of staff of the Statistics Department
at IACR-Rothamsted hold Special Appointments at the University.
The Division runs both formal and informal seminar series, and it
frequently hosts meetings of the East Midlands group of the Royal
Statistical Society.  Special interest groups in epidemic modelling
and shape analysis meet regularly.  The Division attracts significant
numbers of international research visitors.

Further information about the Division of Statistics is available on the
WWW at http://www.maths.nott.ac.uk/statsdiv

Informal enquiries may be addressed to Professor F G Ball,
tel: 0115 95 14969 or email: Frank.Ball@nottingham.ac.uk.

The University and the City of Nottingham
-----------------------------------------

The main University campus is located in a 300 acre woodland park
just within the western boundary of the city of Nottingham.
The University has about 21,000 full- and part-time students and
1,950 academic and research staff distributed across six faculties.
It is one of the UK's leading research universities with a total of
26 top-rated five and five star research units.  Nottingham is one
of the top four UK universities earning research funding from
private industry and commerce and is the most sought-after university,
with ten potential students competing for every place.

The City of Nottingham is the principal city in the East Midlands
and offers a wide variety of shops, cultural and sporting activities
and easy access to the Peak District National Park.  Good quality
housing and schools are available in the locality.