European Central Bank, PhD Traineeship in the Directorate General Economics – Supply Side, Labour and Surveillance Division

• Support the Division’s analytical agenda on key policy questions;
• conduct empirical analyses using state-of-the-art economic and econometric models;
• help to enhance analytical, econometric and forecasting tools under the supervision of ECB experts;
• have the opportunity to submit papers for publication in the ECB’s Working Paper Series and academic journals.

You will be expected to complete your tasks using your own initiative and to work largely autonomously under the supervision of an expert. You will have access to the ECB’s library, as well as to computing and statistical resources. You will also be able to attend most ECB-organised conferences and internal seminars.

• A master’s degree and at least two years of PhD studies in in economics, finance, statistics, data science or a related field;
• a sound understanding of, and theoretical background in, macroeconomics and the economic and institutional context in which the ECB fulfils its mandate; 
• excellent knowledge of, and a track record in, state-of-the-art modelling tools and econometric techniques or data analytics;
• programming skills in one or more of the following software packages: MATLAB, Stata, Python and/or R;
• a good knowledge of the MS Office package;
• an advanced (C1) command of English and an intermediate (B1) command of at least one other official language of the EU, according to the Common European Framework of Reference for Languages.

Desired: 

• experience in one of the following: applied microeconometrics for the labour market, corporate finance and firm dynamics; analysis of panel and repeated cross-sectional data for empirical macroeconomics; spatial and network modelling; applied time series for empirical macroeconomics; general equilibrium modelling; machine learning techniques and textual analysis.