IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY & MEDICINE
                    (University of London)

                   DEPARTMENT OF MATHEMATICS

                   Lectureship in Statistics

Applications are invited for the post of Lecturer in Statistics, with effect from
1 October 1999, or as soon as possible thereafter. Applicants should have research
strength in some branch of Statistics or Applied Probability and be able to teach
students in the Mathematics Department and to provide statistical ancillary
teaching to other Departments within the College. The Statistics Section was rated
5 in the last Research Assessment Exercise. Medical and Environmental Science
expansion at Imperial College both offer a wealth of opportunities for substantive
statistical involvement.

The appointment will be on the Lecturer scale GBP 16,655 - 32,457 p.a. plus London
Allowance of GBP 2,134.

Applications, with a CV, list of publications and names of at least three referees,
and a stamped addressed envelope for an acknowledgement and further details, should
be sent by 19 March 1999 to: Prof AT Walden, Mathematics Department, Imperial
College, 180 Queen's Gate, London SW7 2BZ; tel 0171-594 8522; fax 0171-594 8517;
email:[log in to unmask] . A formal application form is not issued.


                     Lectureship in Statistics

                       Further Particulars

The Department of Mathematics at Imperial College (http://www.ma.ic.ac.uk/) is one
of the largest in the UK, with 50 academic staff (including 14 Professors), some 17
Research Associates/Fellows, and a steady flow of international visitors. In
addition, the Department is fortunate in having a number of eminent Emeritus
Professors and Senior Research Fellows who play a continuing role in the research
life of the Department.

The Department acts as a unified whole in most respects, but for organisational
convenience is broken into sections with distinctive research directions:
Statistics, Applied Mathematics, Numerical Analysis, Mathematical Physics, and Pure
Mathematics.

The Statistics Section, rated 5 in the last Research Assessment Exercise, currently
has 1 Professor, 4 Visiting Professors, 1 Senior Lecturer and 5 Lecturers.
Professor David Hand will be joining the Section in April 1999. There are currently
15 postgraduate students and 6 postdoctoral staff. Research areas include Bayesian
theory and computation, genetics, applied probability, time series and spectral
analysis, wavelets, simulation, and design of experiments. Significant research
funding is contributed by industrial sponsors. Some specific areas of research
include the following:

Bayesian theory and computation, image analysis, theory and applications of Markov
chain Monte Carlo methods, hierarchical models, decision theory, nonparametric and
semiparametric modelling, statistical genetics, pharmacokinetics.

Time series and spectral analysis, multitapering of time series, long-memory
processes, geophysical time series analysis, wavelet methods for time series
analysis.

Applied probability, geometrical probability, quantitative microscopy, image
analysis, stereology.

Multivariate statistics, statistics and computing, financial and medical
applications.

Statistical modelling, hierarchical generalized linear models, pseudo-likelihood,
quasi-likelihood, statistical computation.

The Statistics Section is currently recognized as a UK centre of excellence in the
field of Bayesian statistical methods and computation. International visitors
regularly spend time in the Section. Prof. Andrew Walden has served as an Associate
Editor for the journal Biometrika and was a co-organiser of the recent programme
"Nonlinear and Nonstationary Signal Processing" at the Isaac Newton Institute.
Visiting Professor John Nelder FRS was awarded the Thomas L Saaty Prize (1990) by
the American Journal of Mathematical and Management Sciences. Many invited lectures
at international conferences have been given by members of the Section. The
Statistics Section will be playing an active role in the recently established
Imperial College Centre for Epidemiology and Biostatistics.

The Department has its own library facilities which are excellent by UK standards.
Mathematical Reviews and the Citation Index are both available in an electronic
form. Substantial computing power is available to faculty and postgraduates and all
members of the Faculty can expect an ethernet-connected machine in their office.
The Section has its own cluster of SUN workstations with extensive software
and high quality graphics and black and white and colour Postscript printers. In
total, the Department has fourteen IBM RS 6000s, 20 SUNs, 8 DEC Alphas and the
undergraduate teaching laboratories have 34 NAGA 486 DOS5 workstations and 24 RM
Pentiums. The Department's Computer Officer provides technical support for
computer users and runs a surgery for those with computer problems. The College
also has a central advisory service, including a telephone helpline.

The Department is also responsible for a large undergraduate teaching programme
which has two distinct parts. Within the Department, it is currently responsible
for the teaching of a three-year Mathematics degree to around 300 students, and the
Department has been one of the first to implement a four-year undergraduate degree,
in addition to a new undergraduate degree in Mathematics, Optimization and
Statistics. The Department is also responsible for the ancillary teaching of
Mathematics and Statistics to the other departments of the College. This
responsibility is an important one, and although a member of the Statistics Section
might expect a good proportion of his or her teaching to be to mathematics
undergraduates, he or she would be expected to undertake ancillary teaching as
requested.

Imperial College is one of the premier scientific Higher Education Institutions in
the UK. The recent establishment of Medical Sciences on the South Kensington site
will further enhance the dynamic and progressive scientific atmosphere.

The College recruits high quality students to virtually all of its courses and
correspondingly seeks to appoint staff of the highest calibre. It is currently
College policy that able staff can be entered into the University promotion
procedure on merit, rather than be constrained by financial quotas.


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