Mark Cummins
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University of Strathclyde PhD Scholarship
Fully Funded PhD in Financial Judgement of AI, Political Ideology, and Role-Conditioned Bias University of Strathclyde in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD scholarship. No stipend amount, tuition coverage details, or additional funding terms are specified in the post.
Deadline
Sep 18, 2026
Country
United Kingdom
University
University Of Strathclyde

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About this position
Fully funded PhD scholarship at the University of Strathclyde on The Financial Judgement of AI: New Insights into Political Ideology & Role-Conditioned Bias.
This doctoral project sits at the intersection of Generative AI, large language models (LLMs), financial decision-making, and responsible AI. The research asks whether LLMs embed systematic political ideologies and whether those orientations influence the financial judgements they produce. It also examines how these effects change when models operate in professional roles such as financial analysts and financial advisers.
Research applications mentioned in the post include investment recommendations, stock forecasting, and ESG-related financial decisions. The project is especially relevant for students interested in AI bias, model behavior, financial technology, and the governance of AI systems in high-stakes settings.
Applicants are particularly encouraged if they have backgrounds in AI, machine learning, data science, computer science, finance, or FinTech, together with strong quantitative and programming skills.
The project is supervised by Mark Cummins (Professor of Financial Technology at the University of Strathclyde), alongside Yashar Moshfeghi and James Bowden.
Deadline: Friday 18 September 2026.
How to apply: Open the full details via the application link and follow the university instructions to submit your PhD application before the deadline.
Funding details
Fully funded PhD scholarship. No stipend amount, tuition coverage details, or additional funding terms are specified in the post.
What's required
Applicants should have a background in AI, machine learning, data science, computer science, finance or FinTech, and strong quantitative and programming skills. The post does not specify a required degree beyond PhD entry, but it is a doctoral research opportunity.
How to apply
Read the full opportunity details using the application link, then follow the instructions on the university page to submit your PhD application before the deadline. Share the opportunity with interested candidates if relevant.
More information can be found here
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