Doctoral Researcher in Economic & Financial History: Singapore Case Study
ERC-funded PhD position exploring global tax networks with digital methods, archival research, and AI tools in Singapore.
Best for:Best for historians, economists, or social scientists with a strong interest in digital methods, offshore finance, and interdisciplinary research.
Overview
This doctoral position at the University of Luxembourg’s Luxembourg Centre for Contemporary and Digital History (C²DH) focuses on the Singapore case study within the ERC-funded project *DIGSHELL*. The researcher will investigate global tax networks and offshore financial infrastructures, combining archival research, fieldwork, and advanced data analysis (including LLMs and visualization tools). The role involves international collaboration, conference participation, and academic publication. Supervised by Professor Benoît Majerus, the project adopts a comparative approach across Luxembourg, Panama, Singapore, and the British Virgin Islands.
What you'll do
- Conduct archival and fieldwork research in Luxembourg and Singapore (with extended stays abroad).
- Analyze historical data using advanced digital methods, visualization tools, and generative AI (e.g., LLMs).
- Develop a comparative case study on Singapore’s role in global tax networks alongside Luxembourg, Panama, and BVI.
- Participate in international conferences and academic dissemination (papers, journals, public events).
- Collaborate with the ERC-funded *DIGSHELL* project team on methodology and findings.
- Prepare a two-page research proposal outlining methodology, sources, and research questions.
Requirements
Degree required: Master’s degree or equivalent in history, economics, political science, social sciences, or a related field
Degree offered: PhD
Language: English (excellent command); B2-level proficiency in thesis language (check university guidelines).
Instruction: English
- Proven interest in digital history, financial history, or offshore studies.
- Familiarity with archival research methods and historical source analysis.
- Basic proficiency in data analysis or willingness to learn digital tools (e.g., LLMs, visualization software).
- Excellent written and verbal communication skills in English.
- No nationality restrictions (open to all qualified candidates).
- No prior experience caps; emphasis on academic potential and motivation.
Funding & terms
How to apply
Apply online via the University of Luxembourg’s HR system. Submit a CV, cover letter, academic transcripts, one reference, and a two-page research proposal. Email applications will not be considered.
- CV
- Cover letter (motivation + alignment with project)
- University-level transcripts
- Name/contact of 1 referee
- Two-page research proposal (question, sources, methodology)
Contact
Benoît Majerus· Professor
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.