Publisher
source

University of Sussex and University of Bristol

Fully Funded AI/ML PhD Studentships in AI, Causal Inference, and Ultrasound Materials Evaluation Heriot-Watt University; University of Sussex in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Both PhD studentships are fully funded. Stipends are listed as £23,985 per year for the Heriot-Watt University project and £21,805 per year for the University of Sussex project.

Deadline

Expired

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Country

United Kingdom

University

University of Sussex and University of Bristol

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Keywords

Computer Science
Machine Learning
Materials Science
Artificial Intelligence
Causal Inference
Ultrasound Technology
Economics
Statistics
Physics

About this position

Two fully funded PhD studentships are being shared for international students in AI/ML-related research.

1) AI & Causal Inference for Labour Market Resilience — Heriot-Watt University, Edinburgh. This project combines artificial intelligence, machine learning, and causal inference with an applied focus on labour market resilience. The post lists funding at £23,985/year and a closing date of 12 August 2026.

2) AI-Driven Ultrasound for Materials Evaluation — University of Sussex. This project links AI/ML with ultrasound and materials evaluation, with funding listed at £21,805/year and a closing date of 11 September 2026.

The post says these studentships are fully funded and open to international students. It is a repost/visibility share rather than a first-person recruitment post by the supervisor or PI.

Applicants should review the relevant university project page, confirm eligibility, and apply through the university postgraduate application system before the deadline.

Funding details

Both PhD studentships are fully funded. Stipends are listed as £23,985 per year for the Heriot-Watt University project and £21,805 per year for the University of Sussex project.

What's required

Open to international students. Applicants should be interested in AI/ML research; one project focuses on AI and causal inference for labour market resilience, and the other on AI-driven ultrasound for materials evaluation.

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