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UNIVERSITY OF NOTTINGHAM SCHOOL OF MATHEMATICAL SCIENCES Lecturer in Statistics or Applied Probability Applications are invited for the above post available from 1 September 2000. Candidates should have a strong commitment to high quality teaching and an excellent research record, or research potential, in a branch of statistics or applied probability. 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. Salary will be within the range 17,238 - 30,065 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 or from the Personnel Office, Highfield House, The University of Nottingham, University Park, Nottingham NG7 2RD. Tel: 0115 951 5927. Fax: 0115 951 5205. Email: [log in to unmask] Please quote ref. LEG/503. Closing date: 31 May 2000. ******************************************************************************** UNIVERSITY OF NOTTINGHAM SCHOOL OF MATHEMATICAL SCIENCES Lecturer in Statistics or Applied Probability Applications are invited for the above post, available from 1 September 2000. Candidates should have a strong commitment to high quality teaching and an excellent research record, or research potential, in a branch of statistics or applied probability. 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 came into existence on 1 August 1998 with the merger of the Departments of Mathematics and Theoretical Mechanics. The School is currently undergoing an exciting period of expansion, having recently made appointments to two Chairs in Statistics, two Chairs in Pure Mathematics and to nine lectureships across the full range of Pure Mathematics, Mathematical Physics, Statistics and Theoretical Mechanics. The School's current complement is 44 academic staff (including 2 vacancies), 11 support staff, 6 Research Fellows, 11 postdoctoral research associates and 39 research students. The School undertakes research and teaching in Pure and Applied Mathematics and Statistics. In the 1996 Research Assessment Exercise the units of assessment were graded 5 (Applied Mathematics) and 4 (Pure Mathematics and Statistics). The School offers degree programmes to about 570 undergraduates in single honours degree programmes (both BSc and MMath) in Mathematics and Mathematics with Engineering, 4 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 Unix workstations or Pentium PCs which are linked to the School's file servers and the University's workstations and mainframe computers. There are also well equipped computing laboratories in the School for undergraduate and postgraduate use. The School has two computer officers, responsible for both hardware and software support, and 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 and the Lectureship ------------------------------------------ The Division of Statistics, School of Mathematical Sciences, is currently undergoing an exciting period of development with the recent appointments of 2 Professors, 1 Lecturer and 1 Temporary Lecturer. A further lectureship has now become available. The recent appointments and the further lectureship underline the commitment of both the University and the School to establishing a Statistics group of clear international standing and securing a grade 5 at the next Research Assessment Exercise. The new lecturer will be expected to make a significant contribution to that aim. Applications for the Lectureship are encouraged from candidates with research interests in any branch of Statistics or Applied Probability. Following this appointment, the Statistics Division will comprise 3 Professors, 1 Reader, 1 Senior Lecturer, 2 Lecturers and 1 Temporary Lecturer. The Division's current staff have 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, robustness, computational statistics, multivariate analysis, medical and biological applications of statistics. Dr H Le: Stochastic processes on manifolds, stochastic geometry with particular reference to shape spaces. Dr C D Litton: Bayesian methods, statistical archaeology, change-point problems. Dr O D Lyne: Stochastic epidemic modelling, branching processes. Dr P D O'Neill: Stochastic epidemic models, applied probability, statistical inference, Markov Chain Monte Carlo methods. 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, both within the University and beyond. There are connections within the University with other groups of statisticians, such as in the Faculty of Medicine and Health Sciences and the School of Economics. As a consequence of the University's formal link with IACR-Rothamsted, the Statistics Division enjoys links with the Statistics (and other) Departments at IACR-Rothamsted, joint research and occasional assistance with undergraduate teaching. Senior members of staff of the Statistics Department at IACR-Rothamsted hold Special Appointments at the University. The Division runs a lively joint seminar series with the University of Leicester, as well as its own programme of internal seminars. Nottingham also regularly hosts meetings of the East Midlands group of the Royal Statistical Society. 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 University is located on a three hundred acre woodland park just within the western boundary of the city of Nottingham. The University has about 13,500 full-time and 8000 part-time students and 1000 academic staff distributed across six Faculties. Research activity is high with 32 units of assessment receiving grade 4 or 5 in the 1996 Research Assessment Exercise. Research income has placed Nottingham in the top five institutions earning income from private industry. The University attracts more undergraduate applications per place than any other UK university, and entry qualifications are high in most subjects. 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. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%