Carmine Ventre
4 months ago
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Fully Funded PhD in AI, Machine Learning, and Behavioral Finance for Social Impact King's College London in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Expired
Country
United Kingdom
University
King's College London

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About this position
King's College London is offering a fully funded PhD opportunity at the intersection of artificial intelligence, machine learning, behavioral finance, and gender economics. The project aims to address the significant gender investment gap in the UK by developing AI-powered financial advisory systems that are accessible and effective for women. Research areas include AI and machine learning for intelligent financial systems, natural language processing for personalized guidance, behavioral finance to understand decision-making barriers, and empirical analysis to measure real-world impact.
Supervised by Professor Carmine Ventre (Chair in Computational Finance) and Dr Ylva Baeckström, the successful candidate will work in a multidisciplinary environment, combining technical innovation with social science to create tools for financial inclusion. The ideal applicant will have a strong background in computer science, data science, AI/ML, economics, finance, or related fields, and a passion for building systems that drive social change.
This PhD studentship is fully funded, though specific details about the stipend and tuition coverage are not provided. Interested candidates are encouraged to visit the provided link for more information and contact Dr Ylva Baeckström to discuss their interest and suitability for the project. This is an excellent opportunity for those who want to contribute to meaningful research with real-world impact in AI, finance, and gender economics.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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