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PhD in Global Talent Interdependence and Europe’s Strategic Innovation Ambitions

Utrecht University Department of Human Geography and Spatial Planning
✓ Fully Funded ⏰ Closing Soon 🎓 Human geography 🎓 Innovation Studies mixed methods innovation global talent economic geography doctoral training international mobility patents publications

Explore the role of global talent mobility in shaping Europe's innovation landscape. Analyze large-scale data on STEM PhD recipients to understand how mobility influences knowledge creation and technological impact. Develop unique datasets and apply mixed methods to answer policy-relevant questions at the interface of migration, innovation, and geography.

AI-generated overview

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Why This Research Matters

This research is crucial for understanding how Europe's innovation ambitions depend on global talent flows amid geopolitical and migration challenges. Insights from the project will inform policies to support the mobility of highly skilled researchers, underpinning Europe's competitiveness, technological sovereignty, and resilience in science and technology sectors.

Economic Geography

Project Description

Project Overview

Talent is a critical yet scarce resource in modern innovation systems, especially in Europe where technological sovereignty and competitiveness are pressing concerns. Geopolitical tensions and migration restrictions challenge the mobility of researchers, affecting global knowledge networks. This PhD project studies Europe's strategic innovation ambitions in relation to the mobility of STEM PhD recipients, combining economic geography and innovation studies. Using large longitudinal datasets of PhD recipients, publication, patent and career data, the project will explore how training and international mobility influence innovation outcomes.

What You Will Do

  • Design and conduct research on global talent interdependencies and innovation;
  • Collect, process, and analyze large-scale datasets including publications, patents, and career trajectories;
  • Write and publish research papers;
  • Present findings at conferences, workshops, and seminars;
  • Complete a doctoral dissertation within four years;
  • Contribute to teaching activities of the department (about 10%).

Expected Outcomes

The project will produce original insights into the mobility of global talent and its role in Europe's innovation landscape. It will develop unique, rich datasets combining multiple sources and employ quantitative and mixed-method approaches to investigate policy-relevant questions at the nexus of innovation, migration, and geography.

Why This Matters

The research addresses critical questions about Europe’s ability to maintain competitiveness and technological self-reliance in the face of geopolitical challenges. Understanding how international talent movements shape innovation is essential for policy-making that supports sustainable growth and resilience in science and technology sectors.

Entry Requirements

Applicants should have a strong interest in innovation, human capital, and international mobility, preferably with a background in economic geography, economics, sociology, innovation studies, development studies, or related social sciences. They must possess quantitative analytical skills, experience with data analysis and statistics, and have excellent written English (C1 level). Experience in web scraping and working with large-scale datasets is advantageous, as is motivation for academic research and teaching.

Eligibility

UK/Home
EU
International

Supervisor Profile

DB
Dr Burcu Özgün, Dr Giovanna Capponi, Professor Carolina Castaldi
Utrecht University, Department of Human Geography and Spatial Planning

Dr Burcu Özgün, Dr Giovanna Capponi, and Professor Carolina Castaldi jointly supervise this project. Professor Castaldi is a leading researcher in innovation studies and economic geography, known for work on global knowledge flows and innovation ecosystems. Dr Özgün and Dr Capponi contribute expertise in human geography and spatial planning, focusing on talent mobility and its socio-economic implications. Their combined interdisciplinary approach aligns well with this research bridging geography, innovation, and migration studies.

Key Publications

2020 95 citations
New (s) data for entrepreneurship research? An innovative approach to use big data on media coverage
2021 53 citations
The geography of innovation and technology news-An empirical study of the German news media
2024 9 citations
Saved by the news? COVID-19 in German news and its relationship with regional mobility behaviour
2022 5 citations
Assessing press releases as a data source for spatial research

Research Contributions

Developed innovative methods to use big data from media coverage for entrepreneurship research.
Provides new data sources and methods enhancing analysis and understanding in entrepreneurship studies.
Empirically analyzed the geography of innovation and technology news within the German media landscape.
Offers insights into how regional innovation is represented and possibly influenced by news media.
Investigated the relationship between COVID-19 media coverage in Germany and regional mobility behavior changes.
Supports understanding of the media's role in public behavior during health crises.

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