UNIVERSITY OF SUNDERLAND
                   
         SCHOOL OF COMPUTING, ENGINEERING AND TECHNOLOGY
         
         LECTURER/SENIOR LECTURER IN MATHEMATICAL SCIENCES/COMPUTING
         
         Ref.no. CETL73
         
         
Applications are invited for a post at the Lecturer or Senior Lecturer level 
tenable from 1st January 2000  (or another date by mutual agreement). The 
vacancy has arisen because of the retirement of a senior lecturer in statistics 
but it is likely that the person appointed will be asked to do some teaching in 
computing or in other areas of the mathematical sciences, as well as statistics.

Applicants should have strong research records in any area of statistics, 
computing or operational research. Some areas of interest which would be 
particularly welcome are listed below.

Informal enquiries are welcomed by Professor Peter Smith, Director of School, 
tel. 0191 515 2761 or email [log in to unmask]

Application letters and cvs, quoting the reference number, may be submitted to

Personnel Department,
University of Sunderland,
Langham Tower,
Ryhope Road,
Sunderland.
SR2 7EE
UK

or email [log in to unmask]

Closing data 14th October 1999.


FURTHER INFORMATION

The School of Computing, Engineering and Technology is one of the largest 
Schools within the University and embraces the disciplines of Engineering, 
Computer Science and Mathematical Sciences. Computing and Mathematical Sciences 
activities are located at the University's St.Peter's Campus on the Riverside, 
next to the National Glass Centre and a short distance from the sea front. 
Computing facilities are excellent with a large network of Sun Workstations and 
IBM-compatible machines, as well as Apple Macs. The St.Peter's Library of the 
University is only a few yards away.

The successful applicant will be expected to contribute to research and teaching 
activities in statistics, and, if required, teaching in other related areas, and 
to collaborate more widely in the activities of the School.

Candidates should have a strong research record in any area of statistics, 
computing or operational research but an interest in one of the following areas 
may be particularly welcome.

Bayesian inference.
Bayes linear methods.
Computational statistics.
Time series and forecasting.
Applications of statistics, probability and, particularly, Bayesian inference in 
computer science (e.g. Bayesian networks).
Applications in other disciplines, including inter-disciplinary collaboration.
Operational research.
Econometrics.
Image processing.

Current research in statistics at the University of Sunderland is largely in 
Bayesian statistics, particularly Bayes linear methods. There are also extensive 
collaborations with members of other disciplines within the University, e.g. the 
Northumbrian Water Ecology Centre, and outside the University, e.g. City of 
Sunderland Hospitals, and strong links with industry, e.g. through the Teaching 
Company Scheme. Collaboration with the large Computer Science group, in 
particular the Centre for Adaptive Systems, is an important feature for 
development. There is also a strong interest in operational research and 
econometrics among other mathematical science staff in the School. Although the 
statistics group at Sunderland is currently small, statistics staff are able to 
enjoy frequent contact with members of the strong statistics groups at 
neighbouring universities in North East England. There are currently six 
statistics research students within the department and several research students 
in computer science whose projects include a statistical aspect. In addition we 
have a post-doctoral research assistant working on sales forecasting under an 
ESPRIT funded project. At the last Research Assessment, Bayesian inference 
research at Sunderland was included in the Computer Science submission which was 
awarded the grade of 3A. It is hoped to develop statistics research with the 
eventual aim of a separate submission.

Teaching at undergraduate level currently includes service teaching to a variety 
of disciplines, teaching of Joint Honours Mathematics students and teaching on 
our B.A. Accounting and Mathematics degree course. At postgraduate level we 
offer a M.Sc. course in Decision Support Systems. Statistical support is also 
provided for research students in other disciplines. The successful candidate 
may be asked to contribute to the wider teaching of the School, for example in 
introductory computing courses.


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