Field Research Assistant – Econometrics & Data Analysis

London School of Economics and Political Science; Greater London; Híbrido; GBP 37 000 - 42 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid working

Pension scheme

Training and development opportunities

Generous annual leave

Resumo da oferta

LSE in London is seeking a fixed-term researcher to support a programme led by Dr. Raúl Sánchez De La Sierra in the Department of Management. The role is field-intensive, with roughly half the year spent in North and South Kivu, in remote artisanal mining areas reached by motorbike or on foot.

You will identify methods, convey complex ideas, interpret data patterns, and manage large databases. A Master or Bachelor’s in economics or related quantitative discipline is required, with econometrics

Qualificações

• Master's or Bachelor’s degree in economics or related quantitative discipline.
• Graduate degree including econometrics and political economy coursework.
• Knowledge of the political economy of conflict and armed group governance.
• Experience cleaning and managing large survey and administrative datasets.
• Proficiency in Stata, R, or Python.
• Resilience to work for extended periods in a remote insecure setting.

Responsabilidades

• Identify appropriate methods of investigation or analysis according to data and objectives.
• Convey complex conceptual ideas or highly detailed information.
• Interpret and analyse patterns or trends in data.
• Manage large scale databases.

Conhecimentos

Econometrics

Stata/R/Python

Data cleaning

Quantitative analysis

Formação académica

Master's or Bachelor's in economics or related quantitative discipline

Ferramentas

Stata

R

Python

Descrição da oferta de emprego

LSE in London is seeking a fixed-term researcher to support a programme led by Dr. Raúl Sánchez De La Sierra in the Department of Management. The role is field-intensive, with roughly half the year spent in North and South Kivu, in remote artisanal mining areas reached by motorbike or on foot.

You will identify methods, convey complex ideas, interpret data patterns, and manage large databases. A Master or Bachelor’s in economics or related quantitative discipline is required, with econometrics