The following advert appears today in the Times Higher:

UNIVERSITY OF HERTFORDSHIRE

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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