Fully Funded Doctoral Research Opportunity (2026 Intake)
King’s College London (KCL)
Faculty of Social Science & Public Policy – Department of Political Economy
Funded through the London Interdisciplinary Social Science (LISS) DTP
Location
• London, United Kingdom
• Host institution: King’s College London
This fully funded PhD studentship at King’s College London explores the impact of generative artificial intelligence (AI)—such as ChatGPT—on the UK labour market.
The research focuses on how AI is reshaping education choices, job tasks, inequality, entrepreneurship, and workforce skills. The project aims to generate policy-relevant evidence to inform UK decision-making on education, labour markets, and AI governance.
As a CASE PhD, the student will work closely with the UK AI Security Institute, gaining direct exposure to applied policy research alongside academic training.
Eligibility Criteria
Who can apply:
• Applicants meeting King’s College London PhD entry requirements
• Strong academic background in economics, political economy, social sciences, or related fields
• Interest in labour markets, AI, technology, and public policy
• Willingness to engage in interdisciplinary and policy-focused research
• Eligible to meet UKRI/LISS DTP funding requirements (home or eligible international status, depending on funding rules)
• Completion of the LISS DTP Diversity Monitoring Form (mandatory)
Funding / Coverage
Fully Funded PhD Studentship
The funding package typically includes:
• Full tuition fees (UKRI rate)
• Annual tax-free living stipend (UKRI standard rate)
• Research training and development funding
• Additional support linked to the CASE partnership
• Access to LISS DTP training, workshops, and professional development
Program Level
• PhD (Doctoral Research)
Research Focus / Key Themes
• Generative AI and labour market change
• Education, skills, and human capital formation
• Job tasks, automation, and productivity
• Inequality, wages, and workforce distribution
• Entrepreneurship and firm creation
• AI governance and public policy implications
31 januari 2026