Job Details:

Lecturer in Statistics
Reference Number 3197
Location Science Site, Durham
Faculty/Division Science
Department Mathematical Sciences
Grade Grade 7
Position Type Full Time
Contract Type Permanent
Salary (£) 30728 - 36661 per annum
Closing Date 14 January 2014

Apply online via:

https://www.dur.ac.uk/jobs/

Job Description:

You will be expected to make a substantial commitment to the research 
activities of the Statistics & Probability Group, and to undertake 
teaching and administrative duties as assigned by the Head of Department 
of Mathematical Sciences. Candidates need to provide evidence of 
relevant teaching experience at University level and a record of 
publications at international level.

This position is attached to the Department’s Statistics and Mathematics 
Consultancy Unit (SMCU). Part of your role will be to engage in 
industry-related research and outreach as guided by the Director of 
SMCU, and in time help to grow SMCU’s commercial portfolio. As such, a 
record of successful generation of external funding for research 
projects is highly desirable, and potential to do so is essential. To 
balance the industry-related focus of this post, the teaching load will 
be reduced from normal. The SMCU makes a significant contribution to the 
generation of research impact in the Department and an important part of 
your role will be to develop projects that can generate impact case 
studies for future research assessment exercises.

Preference may be given to candidates whose research areas are 
compatible with existing interests of the Statistics Group.
Applications are particularly welcome from women and black and minority 
ethnic candidates, who are under-represented in academic posts in the 
University.

Department of Mathematical Sciences

Durham University is one of the UK's leading research-led universities, 
with a strong commitment to both teaching and research. The Department 
of Mathematical Sciences is a large department, with an active programme 
of internationally recognised research in a broad range of areas, and 
several popular degree programmes with a very high quality student 
intake. The Department currently has 57 members of academic staff, 
conducting internationally excellent research in Pure Mathematics, 
Applied Mathematics, and Statistics and Probability. There is a strong 
and active research environment, with many visitors, seminars, 
international conferences and workshops, and the Department benefits 
from fully supported computer and library facilities.
The Statistics & Probability Group currently has 12 academic staff, 4 
Postdoctoral researchers and 15 PhD students. Areas of particular 
research interest in Statistics include Bayesian Statistics (with 
specific expertise in Bayes Linear Methods), Foundations of Statistics 
and Decision Theory (with specific attention to generalized uncertainty 
quantification) and Applied Statistics (with specific attention to 
large-scale applications). These areas are combined in ongoing research 
in large-scale applications, in particular in the area of uncertainty in 
large-scale physical systems represented by computer models.

SMCU was established in October 1996 with the aim of attracting 
commercial research and consultancy work to the Department and its 
members of staff, and with providing the Department with a focus for 
external liaison for outside and commercial organisations. These 
activities are core to the University’s stated mission, with respect to 
supporting the regional economy, commercialising research and enhancing 
the University’s research infrastructure. Clients range from local 
companies to multi-nationals, as well as Governmental organisations. 
Much of the work requires novel statistical methodology and some relies 
on theoretical work developed in the Department. SMCU participates 
actively in knowledgeTransfer Partnerships. Some current projects 
include modelling of e-commerce, deconvolution of well-testing 
histories, toxicology and modelling of environmental fate, and analysis 
of uncertainties in drilling of oil and gas reservoirs.

Contact name: Professor David Wooff
Telephone: +44 (0)191 334 3121
Email: [log in to unmask]

Contact name: Professor Michael Goldstein
Telephone: +44 (0)191 334 3065
Email: [log in to unmask]

http://www.dur.ac.uk/mathematical.sciences/stats/



-- 
Prof David Wooff D.Sc. C.Stat C.Sci FIMA FSS FHEA
Mathematical Sciences and Statistics and Mathematics Consultancy Unit,
Durham University, Science Labs, Stockton Road, Durham, DH1 3LE, UK.
email: [log in to unmask], Tel: 0191 334 3121, Fax: 0191 334 3051.
Web: http://maths.dur.ac.uk/stats/people/daw/daw.html

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.