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UNIVERSITY OF NOTTINGHAM
SCHOOL OF MATHEMATICAL SCIENCES
Lecturer in Statistics
Applications are invited for the above post available from 1 February
2003 or an alternative date by mutual agreement.
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. The Unit of Assessment for Statistics
and Operational Research was graded 5A in the 2001 Research Assessment
Exercise. The successful candidate will be expected to contribute to
maintaining and enhancing our research record.
Salary will be within the range 20,470 - 32,537 pounds per annum, depending
on qualifications and experience.
Informal enquiries may be addressed to Professor F G Ball,
tel: 0115 951 4969 or Email: [log in to unmask]
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/academic.html 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: [log in to unmask]
Closing date: 23 August 2002. Please quote ref RUB/460S.
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UNIVERSITY OF NOTTINGHAM
Lecturer in Statistics
Applications are invited for the above post, available from 1 February 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; it is
School policy to offer protected workloads to new staff. Further
information is available from Professor F G Ball, tel: 0115 951 4969
or Email: [log in to unmask]
School of Mathematical Sciences
-------------------------------
The School of Mathematical Sciences is currently undergoing a period
of expansion, having recently made appointments to two Chairs in
Statistics, two Chairs in Pure Mathematics, a Chair in Applied Mathematics
and to nine lectureships in Pure Mathematics, Mathematical Physics, Statistics
and Theoretical Mechanics (the four research sections which make up the
School).
The School's current complement is 44 academic staff and 11 support staff.
It also has 7 Research Fellows, 14 Postdoctoral Research Associates and 48
research students. The School undertakes research and teaching in Pure
and Applied Mathematics and in Statistics. In the 2001 Research Assessment
Exercise all our units of assessment (Pure Mathematics, Applied Mathematics
and Statistics) were graded 5, ie internationally leading.
The School teaches the full-time equivalent 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. 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 its recent subject review by the Quality Assurance Agency.
All staff offices are equipped with workstations or PCs, linked to
high-performance School and University computers. There are also well equipped
computing laboratories in the School for undergraduate and postgraduate use.
The School's three 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 all the Engineering, Science and Medical Schools are in nearby buildings.
Division of Statistics
----------------------
The Division of Statistics is currently undergoing an exciting period of
development, with the recent appointments of 2 Professors, 2 Lecturers and
1 Temporary Lecturer, which underline 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 of its eligible staff submitted. Following this
success, a new lectureship has been established; 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, 1 Senior Lecturer, 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.
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 and empirical likelihood methods, simulation, asymptotic
approximations, likelihood theory, statistical aspects of fractals,
medical statistics.
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.
The University and the City of Nottingham
-----------------------------------------
The main University campus is located on a 300 acre woodland park just
within the western boundary of the city of Nottingham. The University has about
17,750 full-time and 5,990 part-time students and 1,904 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.
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