University of Huddersfield
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Fully Funded PhD Studentship in Applied AI for Railways University of Huddersfield in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD studentship.
Country
United Kingdom
University
University of Huddersfield

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About this position
Exciting opportunity for a fully funded PhD studentship in Applied AI for Railways at the University of Huddersfield, within the Huddersfield Institute of Railway Research (IRR), in collaboration with Network Rail.
This opportunity is centered on research at the intersection of Computer Science, Artificial Intelligence, and railway/transport engineering. The topic suggests work on applied machine learning, intelligent systems, and data-driven methods for railway operations, infrastructure, or safety-related challenges.
The post is shared by Samuel Hawksbee, Senior Research Fellow at the University of Huddersfield, and mentions the IRR team members Yann Bezin, Dr Tomas Budinsky, Muhammad Hussain, and Levente Nogy. No supervisor contact details, deadline, or application portal are included in the post text.
Funding: fully funded PhD studentship.
Eligibility/requirements: the post does not list formal entry requirements, but the project is clearly aimed at candidates with interest in applied AI, railway systems, and related engineering/computing research.
How to apply: the LinkedIn post does not provide a direct application link. Interested applicants should check the University of Huddersfield and IRR recruitment pages or contact the listed research team for the official application process.
Funding details
Fully funded PhD studentship.
What's required
Applicants should be interested in applied AI and railway-related research. The post is for a PhD studentship; no further eligibility details are provided in the post text.
How to apply
No application instructions or portal link are provided in the post. Check the University of Huddersfield / IRR opportunity announcement for application details.
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