More details can be found here: http://www.sussex.ac.uk/Units/staffing/personnl/vacs/vac896.shtml

Salary: Grade 8: (£36,715 to £43,840 pa)

Expected Start date: 1 October 2010

Full-time, permanent

Salary (inclusive of London allowance)

£31,778 per annum

Duties and Responsibilities

This is an EPSRC-funded research position working on the Explaining, Modelling & Forecasting Global Dynamics (ENFOLD-ing) project.   The main purpose of this post is to initiate, develop, design and be responsible for the delivery of a programme of high quality quantitative research into the relevant statistical, geographical and theoretical aspects related to migration analysis, as well as related issues to the overall aims of the ENFOLD project; this includes working in and contributing to the wider ENFOLD team effort.

Funding is available for two years in the first instance.

Key Requirements

The ideal candidate will have extensive programming experience (in C#, C++, Java, Python etc) , expertise in designing, constructing and analysing large databases and a PhD in any of the following:

• a quantitative speciality within a social science discipline such as; statistics, geography, economics, sociology, epidemiology/ public health, GIS, spatial analysis
• a science discipline with experience in social science applications, such as computer science, maths, physics, medicine, and any other relevant disciplines.

Further Details

A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ‘Apply Now’ button below. If you have any queries regarding the vacancy, please contact Sonja Curtis, s.curtis@ucl.ac.uk, 020 7679 1782.

Please also upload the following documents: (a) a letter of application outlining your suitability to this post and your reasons for applying; (b) a samples of your work (if any).

UCL Taking Action for Equality

Closing Date

23 Apr 2010

Interview date

21st May 2010 (TBC)

More details:  http://tinyurl.com/yh567tq

You will be developing or will already have an impressive track record of achievement within the broad area of spatial analysis and policy and be prepared to conduct innovative research of international significance through funded research projects, produce high quality publications, supervise postgraduate research students and teach students at all levels.

Lecturer – University Grade 8 (£36,532 – £43,622 p.a.)

Senior Lecturer – University Grade 9 (£44,930 – £52,086 p.a.)

Reader – University Grade 9 (£44,930 – £56,916 p.a.)

Informal enquiries to Professor John Stillwell, tel: +44 (0)113 343 3315, email: j.c.h.stillwell@leeds.ac.uk or Professor Adrian Bailey,  tel: +44 (0)113 343 3322, email: a.j.bailey@leeds.ac.uk .

Applications and more info: http://hr.leeds.ac.uk/jobs/ViewJob.aspx?CId=4&JId=651

The successful candidate will hold a PhD in Human Geography, or closely related discipline and will have an internationally-recognised publication record as well as a proven track record of high quality teaching and supervision. Junior applicants who have already begun to establish a strong research record will also be considered. The successful candidate will be expected to teach and/or coordinate undergraduate and postgraduate Human Geography courses, supervise postgraduate students and contribute to the effective functioning of the programme.

Reference A259-09Q

Applications close 31 October 2009

For further information and to apply online visit: http://vacancies.vuw.ac.nz

Enquiries to Sarah Atkinson: s.j.atkinson@durham.ac.uk

Further information available here.

The successful candidate will have completed a PhD in the Social Sciences or Humanities using qualitative methods, have excellent organisational and communication skills and preferably have experience of working with BME groups and one or more years postdoctoral research experience.

The post is based in the Department of Geography, Queen Mary, University of London, with fieldwork conducted in the London Borough of Greenwich.

Salary will be within the range of £24,063 – £26,793 per annum (pro rata to £30,079 – £33,492, full time equivalent) inclusive of London Allowance, depending on skills and experience. Start date is 1st Sept. 2009.

The research is directed by Professor Isabel Dyck. Please contact for informal discussion of the post on 020 7882 5416 or by email: i.dyck@qmul.ac.uk

Further details of the post and an application form can be found here

Closing date for applicants is 30th June.

One post will involve working with other members of staff to assist with, or develop, a small research project, the focus of which will depend on the research interests and experience of the successful applicant.

The other post is funded as part of the Realities “node” of the ESRC National Centre for Research Methods. Again, the exact nature of the work will be determined by the interests and experience of the successful applicant. The work might involve assisting with or developing a small linked project(s), or alternatively working on one or both of our existing projects, or on aspects of Realities data (qualitative and/or quantitative). The successful applicant will have the opportunity to develop their skills in training and dissemination, if desired, through the Realities Training and Capacity Building Programme.

The successful applicants will have a PhD (completed or near completion) in a relevant field in the social sciences, a strong interest in the field of personal life, a methodological imagination, and good writing and interpersonal skills. The posts are tenable for one year from 1 October 2009.

Salary: £28,839 – £30,595 per annum.

Enquiries and further Information here.

RESEARCH ASSOCIATE (Fixed term for 12 months)
(ref: GY/13339)

Department: Geography
Role Type: Research
Vacancy Posted: Friday 15 May 2009
Closing Date: Monday 01 June 2009
Salary/Benefits: £27,183 per annum

A creative social statistician is required to work on an ESRC-funded project “Benchmarking the world city network: city connectivities on the eve of the current financial crisis”.

The successful candidate will have a PhD (or be near completion) and have an interest in imaginative data analysis particularly in relation to networks.

The research is directed by Professor Peter Taylor, Michael Hoyler and Dr Kathryn Pain. Details of the project are available at http://www.lboro.ac.uk/gawc/projects/projec81.html

Curriculum Vitae will only be accepted if accompanied by a completed University application form.

For informal discussions, please contact Peter Taylor (Professor) by email (p.j.taylor@lboro.ac.uk) or on 01509 222790

Further details about the post are available at http://jobs.lboro.ac.uk/index.php?page=Details&id=641