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Research Officer in Analytic Software Development

Organisation
London School of Economics
Reference
VAC-11697
Contract Type
Fixed Term
Sector
Education
Location
London
Salary
Salary from £34,736 to £42,019 pa
Expiry Date
24/06/2018
This full-time position is a shared appointment between the Departments of Methodology and International Relations.

Job Description

. It will consist of a combination of software development led by Professor Kenneth Benoit (Methodology) aimed at supporting and extending the quanteda R package and associated software. A core part of this will involve developing a Shiny application in R and JavaScript based on the quanteda R package, as well as contributing to the development of the quanteda package ecosystem (http://github.com/quanteda) more generally. The other half of the position involves working with Professor Peter Trubowitz (International Relations) and will involve time-series analysis of the use of military force by great powers.  A core part of this project will involve managing and analysing data and contributing to the writing of conference papers and journal articles.

 

The successful candidate will have a completed PhD, or be working towards completion of a PhD, ideally in a technical field in the Social Sciences, working with programming and text analysis. They will have extensive computing and applied data science skills, including programming experience in R and Shiny, some knowledge of JavaScript and JS frameworks, and a working knowledge of database managers (especially SQL-based RDMSes). They will also have a background and training in international conflict or comparative foreign policy and extensive experience working with large cross-national data sets on international conflict and foreign policy. Candidates must also have excellent technical writing skills and oral communication skills and the ability to manage their own workload and work to tight timescales.

 

We offer an occupational pension scheme, generous annual leave and excellent training and development opportunities.

 

For further information about the post, please see the how to apply document, job description and the person specification linked to in the advert on the LSE website.

 

Interviews are likely to take place on Monday 16 July 2018 in person or via Skype.

 

To apply for this post, please go to www.lse.ac.uk/LSEJobs. If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email K.R.Benoit@lse.ac.uk.

 

The closing date for receipt of applications is 5 July 2018 (23.59 UK time). Regrettably, we are unable to accept any late applications.