NLP‑Driven Postdoc in Science & Innovation Economics

Copenhagen Business School; København; On-site; DKK 360,000 - 420,000; Full time

Job summary

Copenhagen Business School invites applications for a two-year postdoc position in Economics of Science and Innovation. The project focuses on econometric and NLP methods applied to large Danish registry data, with no teaching obligation.

The selected candidate will join the Kongsted-Tartari group at CBS and Stockholm School of Economics, with opportunities for co-authorship and proposals within the project scope.

Qualifications

• PhD completed or nearing completion by start date.
• Strong academic record and work ethic.
• Good organizational and oral/written communication skills.
• Motivation to pursue a research career and willingness to move to Denmark.
• Desirable: working knowledge of econometric software (Stata/R) and programming (Python).

Responsibilities

• Lead data collection, preparation and econometric/NLP analysis to support the project.
• Collaborate within the Kongsted-Tartari group and broader CBS/Stockholm School of Economics network.
• Possibility to co-author on work packages or pursue own ideas within scope.
• Up to 20% of time may be used for ongoing personal research pipeline.

Skills

Econometric analysis

NLP on large-scale text data

Data collection & preparation

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 Economics of Science and Innovation. The project focuses on econometric and NLP methods applied to large Danish registry data, with no teaching obligation.

The selected candidate will join the Kongsted-Tartari group at CBS and Stockholm School of Economics, with opportunities for co-authorship and proposals within the project scope.