General Information
Type of contract PhD traineeship
Who can apply? EU nationals eligible for our traineeship programme
Grant The trainee grant is €2,120 per month plus an accommodation allowance (see further information section)
Working time Full time
Place of work Frankfurt am Main, Germany
Closing date 05.02.2026
Your team
Your role
- conduct empirical analyses using state-of-the-art economic and econometric models;
- contribute to the enhancement of analytical, econometric and forecasting tools under the supervision of ECB experts (you may also have the opportunity to submit resulting papers for publication in the ECB’s Working Paper Series and academic journals).
- exploring the role of artificial intelligence, e.g. methodologies based on machine learning, deep learning and neural networks applied to large datasets, in (i) constructing “sentiment indicators” for fiscal policy, (ii) forecasting fiscal variables (government revenues, expenditures and deficits), and (iii) debt sustainability analysis;
- exploring the impact of fiscal policies on the macroeconomy, including the macroeconomic effects of defence spending, based on both empirical and theoretical models in different phases of the business cycle (which may include contributing to the construction of heterogeneous agent New Keynesian models);
- assessing the role of national and aggregate euro area fiscal policies in climate change mitigation to evaluate debt sustainability risks and explore the trade-off between debt sustainability and the stabilisation function of fiscal policies;
- assessing the recent reform of EU fiscal rules as well as options for the provision of common public goods in the euro area and the EU, risk-sharing mechanisms, the interplay between fiscal rules and market discipline, and the implications of the introduction of a “safe asset” for the euro area;
- developing time-series models for forecasting fiscal variables, including models which combine data sampled at different frequencies, evaluating the impact of revisions in fiscal data and differences between real-time and revised data, and assessing the determinants of forecasting errors of international institutions;
- exploring optimal conditions for the interaction between monetary and fiscal policies when the assumption of perfectly functioning financial markets is abandoned.
Qualifications, experience and skills
- a master’s degree and at least two years of PhD studies in economics, finance, statistics, data science, engineering 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, including the role of fiscal policies in the euro area;
- programming skills in quantitative software such as MATLAB, Stata, Python 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.
- experience in applying structural vector autoregressions (VARs), panel VARs, global VARs, Bayesian VARs, non-linear VARs (time-varying parameters, Markov switching) and co-integration analysis;
- experience of factor models and state space/unobserved component models;
- experience in applying macroeconomic models, e.g. dynamic stochastic general equilibrium models, backward-looking or agent-based models and overlapping generation models, using DYNARE or coding your own procedures;
- a publication record that covers issues falling within the Division’s field of responsibility.
Further information
Application and selection process