Management, Machine Learning and Statistical Methods

The successful candidate will contribute to develop academic research to be published in international peer reviewed journals focusing on firms' financial distress and crisis, credit risk management, business performance, zombie firms, credit behavior and cost behavior. Responsibilities of the successful candidate will include project management activities, literature scoping, data collection and analysis, writing of peer-reviewed publications.

The research projects will engage a wide gamut of methodological approaches with a strong focus on quantitative techniques, including statistical data analysis and machine learning. The knowledge of management themes, business analytics and machine learning are equally important to carry out the research activities.

Experience in collecting and analyzing financial and historical companies’ data is preferential.

In this role, the successful candidate will be responsible for delivering excellent academic research outputs, to be submitted and published in international peer reviewed journals.