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We’re looking to appoint a short term RA via the last round of SIRF funding at University of Manchester. We are seeking candidates with a degree (preferably postgraduate degree) in computer science, informatics, maths, physics, statistics, neuroscience, econometrics, or a related relevant field.
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Research project funded by SIRF, The University of Manchester

The hidden rules and open secrets of corporate governance. Longitudinal analysis of “old boys networks” and interlocking directorates.


Fixed term contract
Full time/part time 6 months: February-July 2014 (to start as soon as possible)
Possibility to work remotely
Research Associate
Grade 6
Mitchell Centre for Social Network Analysis
School of social science

The Mitchell Centre for Social Network Analysis is seeking to appoint a talented individual with knowledge in analysis of large dataset and database management, to work on a recently funded SIRF project on corporate governance and interlocking directorates.
The project aims to develop innovative methods for the study of large, multiple and longitudinal two mode networks of directors. It does so by investigating the relationship between the “old boys’ network” and the system of peer referral in the boards of directors of European firms listed on the stock exchange. The project is intended to use seed corn funding in order to prepare the ground for a larger interdisciplinary and international collaborative bid to obtain European funding.

We expect the candidate to apply and develop models for dynamic complex networks. This will entail managing and analysing a large database of European firms and their board of directors. Having good programming skills in SAS, Stata, R or equivalent language is necessary as is an interest in developing methods for large, dynamic and multilayer complex networks. Documented experience of building datasets and analysing quantitative data, such as social network data and/or corporate data, is desirable.

We are seeking candidates with a degree (preferably postgraduate degree) in computer science, informatics, maths, physics, statistics, neuroscience, or a related relevant field.


For further information please contact [log in to unmask]
To apply for the post, please send your CV and covering letter to [log in to unmask]
The search for the candidate will continue until the post is filled: please reply as soon as possible.


Elisa Bellotti
Lecturer

Department of Sociology
and
Mitchell Centre for Social Network Analysis

University of Manchester
Arthur Lewis Building
Bridgeford Street
Manchester M13 9PL
+44(0)1612752921



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