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); * programming skills in quantitative software such as MATLAB, Stata, Python or R;
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