Dear all,
Please see the URL and job description below for a research assistant at the Cathie Marsh Centre for Census and Survey Research, University of Manchester. Can you pass this message on to relevant persons in your departments?
Thank you,
Natalie Shlomo
Closing date :24/06/2013
Reference :HUM-02773
Faculty / Organisational unit :Humanities
School / Directorate :School of Social Sciences
Division :Social Statistics
Salary : £29,541 to £36,928
Employment type :Fixed Term
Duration:One year
Hours per week :Full-time
Location :Oxford Road, Manchester
This post is located both in the CCSR and in the discipline of Social Statistics. The main aim of the post is to carry out research and development on two European Union 7th Framework research projects under the responsibility of Prof. Natalie Shlomo of the Cathie Marsh Centre for Census and Survey Research (CCSR).
The first project is DwB ('Data without Boundaries') which ends on April 30, 2015 and focuses on cross-county data access and dissemination in the social sciences. More specifically, The University of Manchester’s contribution to the project focuses on the research and development of appropriate disclosure control methods that can be applied to statistical data disseminated through online platforms, quantifying the disclosure risk and data utility in such systems, and in addition, the development of record linkage methods for augmenting released data and the analysis of linked datasets. See http://www.dwbproject.org/ for more information about the project.
The second project is InGrid ('Inclusive Growth Infrastructure Diffusion') which supports research on poverty, working life and living conditions and started on February 1, 2013 until January 31, 2017. The University of Manchester‘s contribution to the project is to research and develop social indicators that take into account robust modeling with attention to the impact of the weighting system and survey designs both on the definition of the indicators and on the fitting of models for analysis. Finally, we focus on the formulation and estimation of measures of accuracy for the indicators, such as mean squared errors and non-sampling errors.
The specific work will be defined by the work packages of the projects and in collaboration with other researchers across Europe involved with the projects. Other responsibilities includedata management, theoretical research, simulation studies, analysis and preparation of dissemination materials, establish and maintain working links with researchers and data providers related to the projects.
Informal enquiries can be made to Professor Natalie Shlomo, Professor Social Statistics:
Email: natalie.shlomo@manchester.ac.uk
The University of Manchester values a diverse workforce and welcomes applications from all sections of the community.