Research Officer (Computational Text Analysis and Qualitative Research), SOCSP

The appointee will join an interdisciplinary research team, led by Prof. Alex Preda, bringing together expertise in economic sociology, financial technology, computer science, data science and blockchain analytics. The project is Trustworthy Stablecoins: Coordinating Centralized and Decentralized Finance at Scale . The appointee will contribute to a mixed-methods study combining computational text analysis, qualitative document analysis and interviews to examine trust, evidence and reporting in stablecoin markets and the interface between centralized and decentralized finance.

The position is for a period of 18 months, starting 2 January 2027.

Responsibilities

• Collect, construct, clean and manage textual datasets comprising regulatory documents, court and litigation documents, audit and reserve reports, industry white papers, technical documentation and related materials
• Conduct computational text analysis using appropriate programming and natural-language-processing techniques
• Conduct qualitative content/thematic analysis of documentary materials and integrate computational and qualitative findings
• Assist with the design and conduct of semi-structured interviews with participants in financial, fintech and blockchain-related fields, including interview data management, coding and analysis
• Contribute to the interpretation of findings, preparation of research outputs, presentations and academic publications
• Maintain well-documented and reproducible research
• Perform other duties as assigned by the supervisor