Research Assistant: Projecting Britain’s Ethnic Diversity

The London School of Economics and Political Science (LSE)

Greater London

On-site

GBP 37,000 - 42,000

Full time

5 days ago
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Benefits offered by this job

Occupational pension scheme
Generous annual leave
Excellent training and development

Job summary

The London School of Economics and Political Science (LSE) invites applications for a Research Assistant to join the Centre for Economic Performance on the Nuffield project ‘’Projecting Future Ethnic Diversity and Social Attitudes in Britain’’, a one-year fixed-term appointment with potential extension.

The role requires an undergraduate degree in Economics, Statistics or a quantitative field, and advanced experience with STATA and R for large micro data; ability to learn AI tools and to

Qualifications

  • Undergraduate degree in Economics, Statistics or other quantitative discipline required.
  • Advanced experience using STATA and R for analyzing large-scale micro data sets.
  • Ability to learn new programming skills and use AI effectively and accurately.

Responsibilities

  • Work on the Nuffield funded project and related CEP projects.
  • Develop models for projecting future ethnic diversity and social attitudes in Britain.
  • Interpret data patterns and conduct literature reviews with high accuracy.

Skills

STATA
R
Data analysis
Attention to detail
Independent work
Literature review

Education

Undergraduate degree in Economics, Statistics or other quantitative discipline

Tools

STATA
R
AI tools

Job description

The London School of Economics and Political Science (LSE) invites applications for a Research Assistant to join the Centre for Economic Performance on the Nuffield project ‘’Projecting Future Ethnic Diversity and Social Attitudes in Britain’’, a one-year fixed-term appointment with potential extension.

The role requires an undergraduate degree in Economics, Statistics or a quantitative field, and advanced experience with STATA and R for large micro data; ability to learn AI tools and to

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