PhD studentship Social Statistics University of Manchester

PhD Studentship in Social Statistics at the University of Manchester
Topics in Survey Methodology
Location: School of Social Sciences, Oxford Road, University of Manchester
Closing Date: 17th January 2014
Project Supervisors: Prof. Natalie Shlomo and Dr. Alan Marshall
We offer the opportunity for a fully funded PhD studentship within the Survey Methods and Analysis Group of the Cathie Marsh Centre for Census and Survey Research (CCSR) on all topics related to Survey Methodology. We particularly welcome applications on the following topics although other topics can be proposed by the applicants:

Further details about our research group, Survey Methods and Analysis within the Cathie Marsh Centre for Census and Survey Research at the University of Manchester is at: http://www.ccsr.ac.uk/ssrg/
Candidates must have or expect to gain a first or strong upper second class degree in a relevant discipline within the Social Sciences or Mathematics.
For those who would like to apply to the Social Statistics studentship, please send a brief proposal and academic CV to Professor Natalie Shlomo, Social Statistics Discipline at: Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo. by the 17th January 2014.
Note that this date is before the deadline of the Northwest Doctoral Training Centre where applicants living in the United Kingdom can apply for PhD studentships by the 3rd February 2014 with the application to the School of Social Sciences due on the 17th of January 2014. See http://www.manchester.ac.uk/postgraduate/ for more information. Also, please visit: http://www.nwdtc.ac.uk/prospective.html. We would expect eligible UK candidates to apply to that funding source as well. European Union (EU) and international students outside of the EU are invited to apply but note that for international students, the studentship will only cover ‘home’ tuition fees so that extra funding may be required.

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