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Research Assistant - London School of Economics, Centre for Economic Performance (CEP)

Closing date: 
Thursday, 3 December 2020

Centre for Economic Performance (CEP), Research Assistant. Salary from £30,570 to £36,122 pa inclusive with potential to progress to £37,717 pa inclusive of London allowance. Fixed term appointment for 1 year

The Centre for Economic Performance is seeking to appoint a Research Assistant for a one-year period to work mainly in our new Programme on Innovation and Diffusion (POID). The project will use cutting-edge research into how to boost productivity through nurturing innovation – ideas that are new to the world – and how to diffuse these ideas across the economy.

The project is led by Dr Mirko Draca and Dr Anna Valero with advice from Professor John Van Reenen. The role-holder will play a major role in the planning, design, and implementation of the project and will co-author all outputs accordingly. The role will assist with data matching, processing, modelling, and analysis and will contribute to co-authored top-journal-quality publications.

The successful candidate should have undergraduate degree in Economics or other quantitative discipline; and a Masters in Economics or other quantitative science discipline (but must have very good knowledge of economics) by post start date. Standard of Masters should qualify entry to PhD programme.

Essential criteria include: advanced experience of using Stata for analysing large scale micro data sets; experience of large scale data driven projects; experience of data work requiring great accuracy and attention to detail; ability to identify appropriate methods of economic investigation; ability to interpret and analyse patterns or trends in data; and ability to think through economic problems analytically. Ability to perform literature reviews for obtaining data from data providers and running survey; and excellent written and verbal communication skills and ability to convey technical material in non-technical terms for policy and other non- academic stakeholders are essential. The ability to work independently for long time periods without close supervision is a requirement.

An understanding (ideally from work experience) of negotiating information from data providers is desirable, as is a demonstrated knowledge of and interest in economics of innovation and technological change, the wider context of industrial strategy and current policy issues related to productivity.

Full details and application

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
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  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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