The following advert will appear shortly in The Guardian and Times Higher:
UNIVERSITY OF HERTFORDSHIRE
THE BUSINESS SCHOOL
Department of Statistics, Accountancy and Management
Science
Lecturer in Statistics
Salary: £14398 to £24002
This position requires a person who has good
qualifications, applied experience and research strengths
in statistics or its application. The person appointed
will be expected to contribute to the teaching of
statistics across the University, to initiate research
and contribute to consultancy. Ideally the successful
candidate will have experience in health-related issues,
but the post is open to those with experience in any
branch of statistics.
Salary will be at an appropriate point on the Lecturer
scale according to qualifications and experience.
Informal inquiries may be made to David Boniface (tel:
01707 284366 or e-mail on: [log in to unmask]) or
Mick Broadbent (tel: 01707 285490).
Further details and application form for the above post
available from the Personnel Department, University of Hertfordshire,
Hatfield AL10 9AB or tel: 01707 284802 (24 hour voicemail),
quoting Ref C1687.
Closing date for applications: 1 Oct 1999.
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JOB DESCRIPTION
Purpose:
To contribute, as a member of the Statistics Group, to
the development of the statistics and research methods
work of the Department through innovative teaching,
research and consultancy. To take responsibility for
health-related applications of statistics across the
University.
Main Duties and Responsibilities:
1. Develop, teach and examine courses in statistics and
research methods at undergraduate and postgraduate level.
2. Supervise postgraduate student research projects and
the work of MPhil/PhD students.
3. Contribute to and initiate research in statistics and
research methods and its applications and apply for
external research funding.
4. Take responsibility for health-related applications
of statistical methods across the University.
5. Take part in the work of the School's Statistical
Services and Consultancy Unit.
6. Carry out appropriate academic administration.
7. Be an active member of the Statistics Group and
maintain links with relevant professional bodies such
as the Royal Statistical Society.
8. Perform such other duties as the Head of Department
may reasonably require.
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PERSON SPECIFICATION
Academic and Professional Qualifications
Essential: Having a good honours degree with
substantial content in mathematics or statistics and an
appropriate postgraduate qualification.
Desirable: Having PhD or expectation of PhD within two
years in statistics or research methods or having
Chartered Statistician status.
Experience
Essential: Practical application and teaching of
statistics or research methods; having carried out
research leading (or likely soon to lead) to
publication in refereed journals; having experience in
health or related application areas.
Desirable: Having published in refereed journals;
having carried out consultancy; having up-to-date
experience of statistical software; at least two years
experience of teaching statistics or research methods.
Personal and Interpersonal Qualities
Essential: Having good time management skills and an
ability to work to deadlines; ability to communicate
effectively face-to-face and in writing; ability to
work as part of a team and maintain good relationships
with colleagues; ability to work independently.
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FURTHER INFORMATION FOR CANDIDATES
The Department of Statistics, Accountancy and Management
Science
The SAMS Department (Head of Department, Mick
Broadbent) consists of 29 full-time and 5 part-time
academic staff equivalents and is supported by 4
administrative staff. It consists of the accountancy,
statistics and operational research academic groups.
The Department has a very active research base with a
number of MPhil/PhD students and a high proportion of
academic staff engaged in personal or group research
projects. SAMS is one of three departments which
together make up the University's Business School.
The Statistics Group
(See http://www.herts.ac.uk/business/groups/stats.htm)
The Statistics Group consists of ten academic staff,
four of whom are chartered statisticians. Michael
Healy who is a university visiting professor and a
former professor of statistics at the University of
London, is a member of the Group. Members contribute
to teaching, research and consultancy as well as
sharing in the administration of courses. Due to the
similarities of interests many activities of the Group
are closely integrated with those of the ten members of
the Operational Research Group.
Research
The main areas of current research activity are in
applied statistics; medical, social and industrial
applications being the main strengths. The dominant
tradition of research in statistics at the University
of Hertfordshire has been in applications of the
subject often in collaboration with specialists from
other disciplines.
The Group's current research interests in applied
statistics include:
* structural equation modelling * multilevel modelling
* graphical representations * nonparametric regression
* index construction * classification trees
* epidemiology and health * ordinal repeated measurements
* statistical quality control * spatial statistics
* business forecasting/planning * management decision making
There are collaborative ventures with staff in other
University departments and faculties. Of particular
importance in this respect are: Radiography,
Psychology, Business, Engineering, Nursing and
Education. An MRC funded project initiated through
collaboration with the radiography department is
nearing completion. The statisticians at the
University of Hertfordshire have a history of
collaborative research with other disciplines and it is
intended that this tradition should continue and
increase.
Current external collaborative projects include joint
work with the Health Statistics User Group, the Royal
Statistical Society, London Regional Health Authority,
Watford Hospital and the Open University.
The University of Hertfordshire has a broad subject mix
with particular research strengths in several areas
where statistical support is essential. These include
business, psychology, biology, radiography, nursing,
clinical sciences, engineering and quantitatively
oriented social science including education.
Local Research Links
The Herts/Beds Local Group of the Royal Statistical
Society organises research seminars many of which are
held at the University. Many members of the Group are
actively involved in these seminars at which they are
joined by statisticians who work locally in the
pharmaceutical and other industries or at the
Government's agricultural research station at
Rothamsted, Harpenden.
UH Statistics Advice Service
The Group provides advice on the design and analysis of
surveys and experiments and on the use of statistical
packages such as SPSS, SAS, Minitab in the form of a
drop in clinic at the Maths Centre on the Hatfield
Campus. The service is funded centrally through the
Vice Chancellor's office.
The Statistical Services And Consultancy Unit
(See http://www.herts.ac.uk/business/centres/sscu.htm)
This was launched by members of the Statistics Group in
1996 and is currently undertaking projects in the areas
of:
* models for manpower planning * statistics training
* expert witness role * water use models
* lottery machine testing * review of applications for health
authority funding
The resulting consultancy and contract research work is
expected to benefit statistics research by stimulating
work on commercial and industrial problems which
require the development of innovative statistical
approaches.
Teaching
The Group offers Single Honours and Combined Studies
undergraduate degree courses in Statistics on the
Hatfield Campus and BSc degrees in Business Decision
Sciences, Business Statistics and Management Sciences
on the Hertford Campus
There is, in addition, an important service element in
the Group's teaching programme. It provides courses in
Statistics for undergraduate students in Business,
Accounting, Engineering, Mathematics, Nursing and in
Combined Studies and also contributes in either
statistics or research methods to the M.Sc. degrees in
Quality Engineering, Occupational Psychology, Clinical
Sciences, Imaging Science, Nursing, Decision Sciences
and Business Administration.
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