Data Scientist/Data Hacker
Oxford Internet Institute, 1 St Giles, Oxford
Grade 7: £31,076 – £38,183 p.a.
The Oxford Internet Institute is a leading centre for research into individual, collective and institutional behaviour on the Internet. We seek a full-time Data Scientist to work with Professor Mark Graham on two projects: (1) the University of Oxford funded incubator on ‘big data and human development’, which seeks to understand how we can address key issues in development with computational approaches; (2) the European Research Council funded Geonet project which seeks to map and measure the geographies of the internet.
In this exciting role, the researcher will work with small teams from around the university on short development-related projects. They will be in charge of collecting data via APIs, web scraping, and collaborations with platform owners, apply standard statistical analyses as well as bespoke computational analyses to address questions of economic, social, and policy relevance, and produce eye-catching visualisations of the results. They will also contribute to the dissemination of the findings through academic publications, reports, presentations, and social media.
The position is suited to candidates who have recently completed a postgraduate degree in computer science, GIS, economics, quantitative geography or sociology or other relevant discipline. Good programming skills and an interest in economic development are required.
Based at the Oxford Internet Institute, this position is available immediately for 12 months, in the first instance, with the possibility of renewal thereafter, funding permitting.
To apply for this role and for further details, including a job description, please click on the link below.
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_details_form.jobspec?p_id=126297
Only applications received before 12.00 midday on Monday 12 December 2016 can be considered. Interviews for those short-listed are currently planned to take place on week commencing 16 January 2017.