Postdoctoral Fellow
The University of Canterbury

School of Mathematics and Statistics

Closing date: 13th January 2016

The School of Mathematics and Statistics at the University of Canterbury is offering a one year postdoctoral fellowship to a motivated individual with a research background in social network analysis on an externally funded research project.

The successful applicant will undertake research using cutting-edge network analytics to improve established methods for risk prediction in New Zealand society. The ideal applicant for this job will be interdisciplinary and have a strong background in both a mathematical science and a social science, with a demonstrated interest in network science focussing on social networks. They will have experience of dealing with large network datasets. They will have an understanding of the issues surrounding working with highly sensitive data, and ideally an interest in social change, inequality and well-being in the New Zealand context.

Applicants require a Ph.D. in Mathematics, Computer Science or a related field. The School of Mathematics and Statistics is a strong and forward-looking department, dedicated to excellence in teaching and research. Information on the School is available at http://www.math.canterbury.ac.nz/.

The University of Canterbury is committed to promoting a world-class learning environment through research and teaching excellence, and has a vision statement of 'People Prepared to Make a Difference'. You will have the opportunity to work alongside members of a diverse academic community and enrich your own professional and personal development.

For information about the range of benefits in joining UC please visit us online at: http://www.canterbury.ac.nz/joinus.

Applications for this position should include a cover letter, resume and any additional attachments combined into one document and submitted online.

The University of Canterbury is an EEO employer and actively seeks to meet its obligation under the Treaty of Waitangi.

To apply, search for job number 3007 here.



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