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Nádia Costa

Nádia Costa

PhD in Engineering and Management, specialising in how technological change impacts labour markets, with 6+ years of econometric analysis in Stata on large-scale data.

Talento
LisbonMembro desde 3 de junho de 2026
StataPythonpandasNumPymatplotlibscikit-learnCompeting risksMultinomial logitStreamlitLogistic regressionRandom forest
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Sobre

PhD in Engineering and Management, specialising in how technological change impacts labour markets, with 6+ years of econometric analysis in Stata on large-scale data from Eurostat (EU-SILC) and Statistics Portugal (SCIE, Quadros de Pessoal). One paper under review at a Q1 journal, a second in submission stage; invited peer reviewer for a Q1 journal in the field. Now looking to move from measuring how firms and workers adapt to technological change, to working alongside the teams driving that adaptation.

Experiência

Doctoral Researcher at IN+ – Center for Innovation, Technology and Policy Research (2020-02 – 2025-12)

  • Cleaned and cross-referenced analytical samples from EU-SILC longitudinal microdata (23k+ workers, 26–28 European countries) and the Quadros de Pessoal employer-employee database (100k+ workers), addressing missing data, sample selection, and harmonisation across countries.
  • Built econometric models (discrete-time duration, competing risks, multinomial logit) on these samples to assess how employment protection legislation, automation, and digitalisation affect reemployment and job-to-job mobility across European labour markets.
  • Conducted firm survival analysis on Portuguese services data (SCIE, Statistics Portugal/INE, 200k+ firms), evaluating how innovation investment and knowledge intensity affect long-term firm performance and survival outcomes.
  • Presented research findings at two international conferences (ISPIM Berlin 2021, EBES Lisbon 2023).

Analyst Intern at IAPMEI – Agency for Competitiveness and Innovation (2017-07 – 2017-08)

  • Evaluated post-project performance of 35+ QREN-funded firms (SMEs and large enterprises), cross-referencing IES financial data against contractual commitments on sales, employment, and innovation investment to assess compliance with programme objectives.
  • Assessed eligibility for loan discount tiers (75%-100% discount vs full repayment) and produced evaluation reports for senior decision-makers, supporting investment allocation decisions.

Formação

PhD in Engineering and Management – Instituto Superior Técnico (2020-02 – 2025-12)

MSc in Industrial Engineering and Management – Instituto Superior Técnico (2017-09 – 2019-11)

BSc in Industrial Engineering and Management – Instituto Superior Técnico (2014-09 – 2017-07)

Competências

PhD in Engineering and Management

Avaliações

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