Pubblicato su stage4eu il: 09/10/2019
European Central Bank, PhD Traineeships in the Directorate General Economics
ECB - European Central Bank
Sonnemannstrasse 20, Frankfurt am Main, Germania
Contabilità e finanza
3 - 12 mesi.
Benefit: Rimborso spese di alloggio
L'offerta scade il 06/11/2019
- conduct empirical analyses using state-of-the-art economic and econometric models;
- contribute to the enhancement of analytical, econometric and forecasting tools in collaboration with, or under the supervision of, staff members; you may have the opportunity to submit resulting papers for publication in the ECB’s Working Paper Series and academic journals.
More specifically, you will:
- in the BCA Division: develop models and/or tools to analyse and forecast business cycle fluctuations and domestic demand components, particularly consumption and investment, analyse spill-overs between countries and sectors, and exploit micro data at the firm and household levels;
- in the PAC Division: develop models and/or tools to analyse and forecast wage and price developments and their drivers, including inflation expectations and profit developments, and analyse granular data on prices, wages and firms’ balance sheets to better understand the sources of low inflation in the euro area;
- in the SSL Division: develop models and/or tools: (i) on the intersection of labour economics and corporate finance, also with a strong focus on the analysis of very granular datasets, (ii) to investigate the effects of digitalisation on firms’ entry and exit, with a view to understanding the impact of digitalisation on productivity, or (iii) to empirically assess the determinants of capital flows into and out of euro area countries, with a view to deepening understanding of their impact on macroeconomic conditions and financial systems;
As a PhD trainee you will work closely with the respective division’s economists and research analysts, contributing to short-term tasks and longer-term projects.
- a PhD in economics, finance, statistics, data science, engineering or a related field, or at least two calendar years of PhD studies in economics, finance, statistics, engineering or a related field at the closing date for applications;
- a sound knowledge of applied modelling and econometric techniques, especially panel data and/or time series analysis;
- a working knowledge together with proven experience of statistical, data science and econometric packages such as Stata, R, Python, MATLAB or EViews, or advanced expert knowledge of other programming languages;
- 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, read more.