Collaboration

The selected candidate will play an active role in key phases of the project, contributing to a rich, multi-country study encompassing Canada, Ireland, Germany, Nigeria, Kosovo, and Croatia.

Key Responsibilities

The postdoctoral researcher will be involved in both empirical and theoretical aspects of the project, including:

• Collecting, integrating, and managing data from multiple sources, including firm-level financial data, survey and interview data from entrepreneurs, macroeconomic indicators, and international databases such as the Global Entrepreneurship Monitor (GEM), World Bank, Bloomberg, and other relevant sources
• Processing, cleaning, harmonizing, and analyzing cross-country datasets
• Conducting a systematic literature review and contributing to the development of the project’s theoretical framework, particularly in relation to resilience and effectuation theory
  • Performing quantitative analysis (descriptive and inferential statistics), including correlations, regression models, group comparisons, and longitudinal analysis across two waves of data
  • Analyzing qualitative data (open-ended responses and interviews) using contemporary AI/NLP methods such as translation, tokenization, and semantic text analysis
  • Developing and validating predictive models of resilience (regression, classification, and machine learning approaches, including neural networks)
  • Contributing to scientific publications and co-authored research outputs

The research will primarily utilize Python and R/RStudio, alongside standard open-source tools for statistical analysis, machine learning, and text processing.