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source

University of Edinburgh

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Fully Funded PhD in Causal AI for Saving Lives at University of Edinburgh University of Edinburgh in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

United Kingdom

University

University of Edinburgh

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Keywords

Computer Science
Data Science
Artificial Intelligence
Human Health
Machine learning

About this position

The University of Edinburgh in the United Kingdom is offering a fully funded PhD position focused on 'Causal AI for Saving Lives.' This opportunity is ideal for candidates interested in the intersection of artificial intelligence, causal inference, and life-saving applications, potentially including healthcare and public health. The project aims to advance the use of causal AI methods to address critical challenges where data-driven insights can have a direct impact on saving lives.

Applicants should have a strong academic background in computer science, artificial intelligence, machine learning, or related fields. Experience with causal inference, data science, or health-related AI applications is highly desirable. A relevant master's degree and proficiency in English are typically required for admission. The position is fully funded, covering tuition fees and providing a stipend to support living expenses throughout the PhD program.

The application deadline is 19th April 2026. Interested candidates should review the full details and submit their application through the University of Edinburgh's application portal. This is an excellent opportunity to join a leading research institution and contribute to impactful research in AI and health.

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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