Publisher
source

Mark Cummins

1 month ago

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 flag

Country

United Kingdom

University

University Of Strathclyde

Ongoing program

University of Strathclyde PhD Studentship

by University of Strathclyde

Fully Funded
PhD
3 Years
United Kingdom

University of Strathclyde PhD Studentships support doctoral research at Strathclyde, typically covering UK-level tuition fees and a tax-free stipend for up to 3 years. International applicants may apply but often need extra funding for the fee difference.

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Keywords

Computer Science
Data Science
Information Technology
Finance
Business
Fintech
Political Ideology
Statistics
Programming Language
Responsible Ai
Large Language Models
ML

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.

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Professors

Professor of Financial Technology

University Name
Country flag

United Kingdom

Research Interests

Corporate Finance

Statistics

Finance

Computer Science

Energy Economics