University of Huddersfield Announces Fully Funded Computer Science PhD Scholarships for October 2026

The University of Huddersfield has opened applications for fully funded PhD research scholarships within the Department of Computer Science, part of the School of Computing and Engineering.

The scholarships are available for an October 2026 start date and are open to both UK and international applicants.

These competitive doctoral scholarships provide full tuition coverage alongside a tax-free annual stipend, offering an excellent opportunity for aspiring researchers interested in advanced computing, artificial intelligence, cybersecurity, and immersive technologies.

About the University of Huddersfield Scholarship Programme

The School of Computing and Engineering at the University of Huddersfield is offering several fully funded PhD opportunities for outstanding candidates pursuing research in cutting-edge areas of computer science and emerging technologies.

The scholarships support full-time doctoral study over three years and aim to attract talented researchers with strong academic backgrounds and innovative research interests.

As the number of projects exceeds the number of funded positions available, the selection process is highly competitive. Shortlisted candidates will be invited for online interviews before final scholarship offers are made.

University of Huddersfield Scholarship Funding and Benefits

Successful applicants will receive:

• Full tuition fee coverage
• A tax-free bursary beginning at £21,805 for the 2026/2027 academic year
• Full-time funded research for three years
• Access to advanced research facilities and academic supervision

The funding package is designed to support students throughout their doctoral journey while enabling them to focus fully on research and academic development.

Available PhD Research Projects

The current scholarship opportunities focus on several high-impact and interdisciplinary research areas within computer science and digital innovation.

Explainable NLP for Coercive Control Analysis

This research project explores the development of explainable Natural Language Processing (NLP) frameworks for analysing coercive control in digital court evidence.

The project combines artificial intelligence, computational linguistics, and legal technology to improve understanding and interpretation of digital evidence in sensitive legal contexts.

Personalised XR Environments for Wellbeing

This project focuses on designing personalised Extended Reality (XR) environments aimed at improving wellbeing and user experience.

Researchers will investigate immersive technologies such as virtual reality and augmented reality to create adaptive environments tailored to individual wellbeing needs.

AI-Driven and Quantum-Resilient Security

This doctoral project examines trustworthy and quantum-resilient cybersecurity systems for connected and autonomous vehicles.

The research combines artificial intelligence, cybersecurity, and emerging quantum-safe technologies to address future security challenges in smart transportation systems.

University of Huddersfield: Eligibility Requirements

Applications are open to both domestic and international students.

Applicants are ideally expected to hold:

• A Master’s degree in a relevant subject area

However, candidates with a First-Class Honours degree may also be considered for admission.

International applicants must additionally demonstrate English language proficiency through one of the following:

• IELTS score of 6.5 overall with no component below 6.0
• Equivalent English language qualification
• Proof of study completed in the United Kingdom within the previous two years

Application Process

Candidates must submit a complete application by Friday, 15 May 2026.

Required application documents include:

• A motivational email explaining interest in the scholarship and selected project
• A full Curriculum Vitae (CV)
• Academic transcripts and qualification certificates
• Two academic or professional references
• Proof of eligibility, such as a passport copy
• English language qualification documents for international applicants

References may be submitted after the main application deadline but must be received no later than 17 May 2026.

Shortlisted applicants are expected to be contacted for interviews by 20 May 2026, with interviews anticipated to take place online via Microsoft Teams on 26 and 27 May 2026.

Why Study at the University of Huddersfield?

The University of Huddersfield is known for its strong emphasis on research excellence, innovation, and industry collaboration. The School of Computing and Engineering provides students with access to modern research facilities, expert academic supervision, and opportunities to work on impactful interdisciplinary projects.

The university’s research environment encourages collaboration across emerging fields such as artificial intelligence, immersive technologies, cybersecurity, and data science, helping doctoral students develop advanced technical expertise and global research networks.

University of Huddersfield: Scholarship Duration and Location

The PhD scholarships are:

• Full-time
• Based in Huddersfield
• Scheduled to begin in October 2026
• Funded for a duration of three years

Important Dates

Applicants should note the following deadlines:

• Application deadline: 15 May 2026
• Reference submission deadline: 17 May 2026
• Shortlisting notification: By 20 May 2026
• Interview dates: 26–27 May 2026
• Programme start date: October 2026

These fully funded PhD studentships represent a valuable opportunity for ambitious researchers seeking advanced training and research experience in rapidly evolving areas of computer science and digital innovation.

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Disclaimer: Global South Opportunities (GSO) is not the organization offering this opportunity. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.