Postdoc: Economics of Science & Innovation

CBS Student Advisory

København

On-site

DKK 420,000 - 540,000

Full time

8 days ago
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Job summary

Copenhagen Business School invites applications for a two-year postdoc position in the field of Economics of Science and Innovation at the Department of Strategy and Innovation. The starting date is 1 December 2026 or earliest possible.

The position focuses on econometric analysis of large-scale microdata and advanced NLP on text data. The candidate will lead data collection and analysis, may co-author on work packages, and can dedicate up to 20% of time to their own research pipeline.

Qualifications

  • Applicants will have completed a PhD in Management, Economics, or another related social science discipline before the beginning of the position.
  • Solid academic record and consistent work ethic required.
  • Well-developed organizational and oral/written communication skills required.
  • Motivation for research and aim to pursue a research professorship in the future.
  • Willingness to move to and live in Denmark.
  • Desirable: knowledge of econometric software (Stata or R) and Python.

Responsibilities

  • Take lead in collecting, preparing, and analyzing data to support the project.
  • Opportunity to join as a co-author on work packages within the project or propose own ideas.
  • Up to 20 percent of time can be used for existing research pipelines.
  • No teaching obligation.

Skills

PhD in Management or Economics
Econometrics & programming (Stata/R, L
Python programming
Strong analytical skills
Oral/written communication

Education

PhD in Management, Economics, or related social science

Tools

Stata
R
Python

Job description

Copenhagen Business School invites applications for a two-year postdoc position in the field of Economics of Science and Innovation at the Department of Strategy and Innovation. The starting date is 1 December 2026 or earliest possible.

The position focuses on econometric analysis of large-scale microdata and advanced NLP on text data. The candidate will lead data collection and analysis, may co-author on work packages, and can dedicate up to 20% of time to their own research pipeline.

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