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King Fahd University of Petroleum and Minerals

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PhD in Business Administration: Fintech, AI in Finance, Machine Learning and Financial Risk Analytics King Fahd University of Petroleum and Minerals in Saudi Arabia

Degree Level

PhD

Field of study

Computer Science

Funding

Full scholarships may be available to highly qualified applicants.

Deadline

Dec 15, 2026

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Country

Saudi Arabia

University

King Fahd University of Petroleum and Minerals

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Keywords

Computer Science
Finance
Business Administration
Business
Fintech
Quantitative Finance
Economics
Statistics
Econometrics
ML

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About this position

King Fahd University of Petroleum and Minerals Business School is offering a full-time, research-intensive PhD in Business Administration for candidates pursuing academic and research careers.

The program supports research across connected areas of finance and financial technology, including fintech, artificial intelligence in finance, machine learning, digital payments, algorithmic trading, and financial risk analytics. Doctoral research may draw on financial and economic datasets and investigate questions using econometrics, time-series analysis, panel methods, machine learning, and reproducible research practices.

The opportunity is suited to researchers who want to develop rigorous quantitative and analytical expertise while pursuing theory-driven work in business and finance. Potential research directions include the use of AI and machine learning in financial decision-making, emerging digital payment systems, algorithmic market activity, and analytical approaches to understanding and managing financial risk.

Funding details

Full scholarships may be available to highly qualified applicants.

What's required

Applicants should have strong quantitative and analytical skills, a foundation in econometrics, and experience or a strong interest in using Python or R. Familiarity with financial or economic data, time-series or panel methods, machine learning, and reproducible research is valuable. Intellectual curiosity and a careful, theory-driven approach to research are also valued.

How to apply

Review the program and eligibility details through the program information link, then submit an application through the KFUPM graduate application portal before December 15, 2026.

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